Promoting co-operation and fostering the exchange of good practices among policy makers in LAC countries, OECD member and non-member countries, and international organisations.

OECD Network Sector Regulation Indicators

8-10 October 2014, Paris, France: Discussions at this meeting will focus on implementing the Istanbul Anti-Corruption Action Plan; monitoring reports for Armenia and Kazakhstan; and, progress reports from Azerbaijan, Georgia, Kyrgyz Republic, Mongolia, Tajikistan, Ukraine and Uzbekistan.

This meeting will focus on the third round monitoring reports under the Istanbul Anti-Corruption Action Plan for Kyrgyzstan and Ukraine. The meeting will also include progress reports from Armenia, Azerbaijan, Georgia, Kazakhstan, Mongolia, Tajikistan and Uzbekistan.

This meeting of the Anti-Corruption Network for Eastern Europe and Central Asia (ACN) will take place at the OECD on 12-14 September 2017.

This project aims to support the Slovak Republic as it seeks to create a clear rationale for the Regional Development Agencies Integrated Network which currently comprises 38 agencies.

7th annual expert meeting of the initiative on Employment and Skills Strategies in Southeast Asia (ESSSA) and GIZ/ RECOTVET Policy Dialogue - 7-8 October, 2015 - Sokha Angkor Resort, Siem Reap, Cambodia

In a locked down world, the need to build connections has never been greater, or more physically impossible

HOM BLE MR. JUSTICE SHIVA KIRTIE SINGH, CHAIRPERSON For Petitioner : Ms. Bitwik Nanda, Advocate MrAbhishek Bose, Advocate Ms.ApoorvaVijh, Advocate For Respondent : None Judgement(Oral) This petition has been beard ex-parte against the respondent because even after service of notice through paper publication it chose not to appear and has not filed any reply to contest the claim of the petitioner, to The prayer of the petitioner is as follows: -

*(i} Pass a decree in favour of the Petitioner thereby directing the Respondent, pay a sum of Rs. 2,81,100/- (Rupees Two Lakhs Eighty One Thousand and One Hundred Only} to the Petitioner towards the outstanding dues as on date;

Gi) Pass a decree in favour of the Petitioner awarding interest @ 18% from 08,16.2015 dil realization of the outstanding amount:

2. The petition was filed on 16.08.2019 against an order dated 11.07.2019 (Annexure N) whereby the petitioner's application for migration of CMTS Licence effective from 31.12.1998 for Tamil Nadu Service Area to Unitied Licence (UL) was rejected for the second time by the respondent. Before adverting to the issues, it will be useful to take note of some significant and relevant facts.

3. The historical facts relating to the petitioner company; its wholly owned subsidiary, Aircel Cellular Ltd. (ACL); the details of its licences and also subsequent allocation of spectrum which came to be bundled with the said licence are not in dispute. The petitioner's CMTS Licence for Tamil Nadu Circle was for a period of 10 years and due to expire on 30.12.2008. In terms of National Telecom Policy of 1999, DoT offered a migration package. The migration package, inter alia, changed the "Fixed Fee" policy for Indian Telecom Licences to a "Revenue Share" regime. The period of licence got extended upto 20 years and as a result petitioner's licence was to be valid till 30.12.2018. In 2010, the petitioner acquired 5 + 5 MHz of 2100 MHz (3G) and 20 MHz of 2300 MHz spectrum (BWA) in the Tamil Nadu Telecom Circle through auction. These are fully paid for and the validity of allotment is of 20 years i.e. till 2030. In 2015, the petitioner further acquired 10 + 10 MHz of 1800 MHz spectrum in the Tamil Nadu Telecom Circle through auction. Petitioner has the right to use the said spectrum for a period of 20 years Le. till 26.05.2035 and under a deferred payment plan, it claims to have paid 33% of its price.

3. Through this petition, the petitioner is seeking recovery of Rs. l6,52,587/- said to be thé outstanding dues inclusive of Interest as on 15.03.2016 along with interest @ 18% ail the date of realization from the respondent. The dues are iowards carriage fee for the services availed by the respondent from the petitioner for carriage of tts television channels.

of areas and other details including the schedule of carriage foe and payment schedule are mentioned in the agreement dated LB.1O2013 which was valid for one year for the period 23.05.2015 to 22.05.2016. A oypy of the agreement is annexed with the petition and has also been proved as exhibit. Trac and correct copies of the inveices and a credit note have also heen proved as an exhibit icolly.). These show that the dues are as per invoices and pertain to the period covered by the agreement.

Some 8.6m records of vehicles movements made by thousands of people that have been captured using 100 cameras around the city, were available to view on the internet.

George Osborne has urged Boris Johnson not to scrap HS2 after the Prime Minister launched a major review of all government projects with plans to axe those which are deemed a waste of money.

Archives, Room Use Only - TK5115.H65 2003

Having a bit of a problem with my laptop lately, and thought I’d write up the problem in case it’s affecting anyone else:

So my MacBook Air (mid-2009, OS X 10.8.3) When my computer wakes from sleep, it doesn’t immediately reconnect to my wireless network. What’s more, if I open up the wireless menu in OS X’s menu bar, it doesn’t show any networks nearby. Zip. Zero. Zilch. It’ll scan for new networks repeatedly, but won’t see a single one.

But here’s where this gets really, really annoying: if I open the Network panel in System Preferences, all nearby networks are immediately visible without delay.

Given the weird inconsistency between the two menus, and that I can reproduce this issue consistently, I figure this is a bug: either with 10.8.3, or with my aging little laptop. Either way, I’d love to fix it. So if you’ve come across this problem and know how a workaround, suggestions via email or Twitter would be most welcome.

Update: Charles Gaudette suggested on Twitter that it might be a couple , and pointed me toward a page showing how to clear out corrupted plist files. Deleting the com.apple.network.identification.plist and com.apple.airport.preferences.plist files seems to have done the trick—thanks, Charles! And thanks to everyone else who wrote in or twittered suggestions at me.

This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm uses a generative adversarial network (GAN) to solve the inverse of the Radon transform directly. It works for independent sinograms without additional training steps. The GAN has been developed to fit the input sinogram with the model sinogram generated from the predicted reconstruction. Good quality reconstructions can be obtained during the minimization of the fitting errors. The reconstruction is a self-training procedure based on the physics model, instead of on training data. The algorithm showed significant improvements in the reconstruction accuracy, especially for missing-wedge tomography acquired at less than 180° rotational range. It was also validated by reconstructing a missing-wedge X-ray ptychographic tomography (PXCT) data set of a macroporous zeolite particle, for which only 51 projections over 70° could be collected. The GANrec recovered the 3D pore structure with reasonable quality for further analysis. This reconstruction concept can work universally for most of the ill-posed inverse problems if the forward model is well defined, such as phase retrieval of in-line phase-contrast imaging.

The crystal structure of the title compound, [Ni3(C8H4O4)3(C3H7NO)4], is a two-dimensional coordination network formed by trinuclear linear Ni3(tp)3(DMF)4 units (tp = terephthalate = benzene-1,4-di­carboxyl­ate and DMF = di­methyl­formamide) displaying a characteristic coordination mode of acetate groups in polynuclear metal–organic compounds. Individual trinuclear units are connected through tp anions in a triangular network that forms layers. One of the DMF ligands points outwards and provides inter­actions with equivalent planes above and below, leaving the second ligand in a structural void much larger than the DMF mol­ecule, which shows positional disorder. Parallel planes are connected mainly through weak C—H⋯O, H⋯H and H⋯C inter­actions between DMF mol­ecules, as shown by Hirshfeld surface analysis.

The asymmetric unit of the title compound, {[Mn2Sb2S5(C15H11N3)2]·4H2O}n, consists of two crystallographically independent MnII ions, two unique terpyridine ligands, one [Sb2S5]4− anion and four solvent water mol­ecules, all of which are located in general positions. The [Sb2S5]4− anion consists of two SbS3 units that share common corners. Each of the MnII ions is fivefold coordinated by two symmetry-related S atoms of [Sb2S5]4− anions and three N atoms of a terpyridine ligand within an irregular coordination. Each two anions are linked by two [Mn(terpyridine)]2+ cations into chains along the c-axis direction that consist of eight-membered Mn2Sb2S4 rings. These chains are further connected into a three-dimensional network by inter­molecular O—H⋯O and O—H⋯S hydrogen bonds. The crystal investigated was twinned and therefore, a twin refinement using data in HKLF-5 [Sheldrick (2015). Acta Cryst. C71, 3–8] format was performed.

The analysis of large structural databases reveals general features and relationships among proteins, providing useful insight. A different approach is required to characterize ubiquitous secondary-structure elements, where flexibility is essential in order to capture small local differences. The ALEPH software is optimized for the analysis and the extraction of small protein folds by relying on their geometry rather than on their sequence. The annotation of the structural variability of a given fold provides valuable information for fragment-based molecular-replacement methods, in which testing alternative model hypotheses can succeed in solving difficult structures when no homology models are available or are successful. ARCIMBOLDO_BORGES combines the use of composite secondary-structure elements as a search model with density modification and tracing to reveal the rest of the structure when both steps are successful. This phasing method relies on general fold libraries describing variations around a given pattern of β-sheets and helices extracted using ALEPH. The program introduces characteristic vectors defined from the main-chain atoms as a way to describe the geometrical properties of the structure. ALEPH encodes structural properties in a graph network, the exploration of which allows secondary-structure annotation, decomposition of a structure into small compact folds, generation of libraries of models representing a variation of a given fold and finally superposition of these folds onto a target structure. These functions are available through a graphical interface designed to interactively show the results of structure manipulation, annotation, fold decomposition, clustering and library generation. ALEPH can produce pictures of the graphs, structures and folds for publication purposes.

Convolutional neural networks are useful for classifying grazing-incidence small-angle X-ray scattering patterns. They are also useful for classifying real experimental data.

X-ray reflectivity (XRR) is a powerful and popular scattering technique that can give valuable insight into the growth behavior of thin films. This study shows how a simple artificial neural network model can be used to determine the thickness, roughness and density of thin films of different organic semiconductors [diindenoperylene, copper(II) phthalocyanine and α-sexithiophene] on silica from their XRR data with millisecond computation time and with minimal user input or a priori knowledge. For a large experimental data set of 372 XRR curves, it is shown that a simple fully connected model can provide good results with a mean absolute percentage error of 8–18% when compared with the results obtained by a genetic least mean squares fit using the classical Parratt formalism. Furthermore, current drawbacks and prospects for improvement are discussed.

Any adventurer, hiker or backyard naturalist with a camera can help scientists survey and hopefully save the world’s amphibians thanks to a new social networking site that links “citizen scientists” with researchers tracking the decline of amphibians around the globe.

The post Scientists turn to social networking and citizen scientists to help keep track of amphibians appeared first on Smithsonian Insider.

Emmett Duffy, currently the Gluckman Professor of Marine Science at the College of William & Mary in Virginia, has been appointed director of the Smithsonian’s […]

The post Emmett Duffy named director of Smithsonian’s Tennenbaum Marine Observatories Network appeared first on Smithsonian Insider.

Archan Chakraborty, Wei-Cheng Lin, Yu-Tsun Lin, Kuang-Jing Huang, Pei-Yu Wang, Yi-Feng Chang, Hsiang-Iu Wang, Kung-Ting Ma, Chun-Yen Wang, Xuan-Rong Huang, Yen-Hsien Lee, Bi-Chang Chen, Ya-Ju Hsieh, Kun-Yi Chien, Tzu-Yang Lin, Ji-Long Liu, Li-Ying Sung, Jau-Song Yu, Yu-Sun Chang, and Li-Mei Pai

Under metabolic stress, cellular components can assemble into distinct membraneless organelles for adaptation. One such example is cytidine 5'-triphosphate synthase (CTPS), which forms filamentous structures under glutamine deprivation. We have previously demonstrated that histidine (His)-mediated methylation regulates the formation of CTPS filaments to suppress enzymatic activity and preserve the CTPS protein under Gln deprivation, which promotes cancer cell growth after stress alleviation. However, it remains unclear where and how these enigmatic structures are assembled. Using CTPS-APEX2-mediated in vivo proximity labeling, we found that SNAP29 regulates the spatiotemporal filament assembly of CTPS along the cytokeratin network in a keratin 8 (KRT8)-dependent manner. Knockdown of synaptosome-associated protein 29 (SNAP29) interfered with assembly and relaxed the filament-induced suppression of CTPS enzymatic activity. Furthermore, APEX2 proximity labeling of keratin 18 (KRT18) revealed a spatiotemporal association of SNAP29 with cytokeratin in response to stress. Super-resolution imaging suggests that during CTPS filament formation, SNAP29 interacts with CTPS along the cytokeratin network. This study links the cytokeratin network to the regulation of metabolism by compartmentalization of metabolic enzymes during nutrient deprivation.

Going for the gut will soon become standard protocol for scientists working to unravel the complex living web of interactions between plants and animals on […]

The post Going for the gut: DNA from beetle stomachs reveals complex network appeared first on Smithsonian Insider.

A 57-acre research plot at a University of Michigan forest preserve northwest of Ann Arbor has been added to a Smithsonian Institution global network used […]

The post University of Michigan forest preserve joins Smithsonian global network appeared first on Smithsonian Insider.

The post Global forest network cracks the case of tropical biodiversity appeared first on Smithsonian Insider.

For several versions of Windows

The com­pound poly[2-hy­droxy-N-methyl­ethan-1-aminium [μ3-cyanido-κ3C:C:N-di-μ-cyanido-κ4C:N-dicuprate(I)]], {(C3H10NO)[Cu2(CN)3]}n or [meoenH]Cu2(CN)3, crystallizes in the tetra­gonal space group P43. The structure consists of a three-dimensional (3D) anionic CuICN network with noncoordinated protonated N-methyl­ethano­lamine cations providing charge neutrality. Pairs of cuprophilic Cu atoms are bridged by the C atoms of μ3-cyanide ligands, which link these units into a 43 spiral along the c axis. The spirals are linked together into a 3D anionic network by the two other cyanide groups. The cationic moieties are linked into their own 43 spiral via N—H⋯O and O—H⋯O hydrogen bonds, and the cations inter­act with the 3D network via an unusual pair of N—H⋯N hydrogen bonds to one of the μ2-cyanide groups. Thermogravimetric analysis indicates an initial loss of the base cation and one cyanide as HCN at temperatures in the range 130–250 °C to form CuCN. We show how loss of a specific cyanide group from the 3D CuCN structure could form the linear CuCN structure. Further heating leaves a residue of elemental copper, isolated as the oxide.

A new data network that integrates emerging research on the molecular makeup of diseases with clinical data on individual patients could drive the development of a more accurate classification of disease and ultimately enhance diagnosis and treatment, says a new report from the National Research Council.

The National Academies of Sciences, Engineering, and Medicine and the National Science Foundation announced today the formation of a Societal Experts Action Network (SEAN) to connect social and behavioral science researchers with decision-makers who are leading the response to COVID-19. SEAN will respond to the most pressing social, behavioral, and economic questions that are being asked by federal, state, and local officials by working with appropriate experts to quickly provide actionable answers.

A new study has conducted a preliminary investigation into the design of reserves that would help protect coral reefs from climate change. The results indicate that, 15 per cent of coral reefs in the Bahamas, the study area, would be able to withstand rising temperature, and would therefore be appropriately placed in reserves.

Effective flood-risk communications should include specific information on how householders can protect themselves and their property against flooding, a recent Dutch study concludes. The researchers’ evaluation of communication strategies also highlights an important role for social media in spreading messages about flood risk and protection.

The Global Allergy and Asthma European Network (GA2LEN), established in 2005 to facilitate excellence in allergy research across clinical and research institutions in Europe, has recently published a report on its major achievements.

Published to mark the 20th anniversary of the Habitats Directive, this latest Thematic issue examines the challenges and successes in managing and restoring biodiversity in the Natura 2000 network.