prediction

Bank Nifty Prediction today – Nov 7, 2024: Hovering around a support, short if this base is broken

Bank Nifty futures can fall to 51,300 if it slips below 52,000 




prediction

Nifty Prediction today – Nov 7, 2024: Bears gain momentum; go short if the support is breached

Nifty futures has a support at 24,250; a breach of this can lead to a fall to 24,000 




prediction

Nifty prediction today – Nov 8, 2024: Intraday outlook is unclear. Stay out of the market

Nifty 50 November futures contract can oscillate in a range of 24,150-24,400




prediction

Bank Nifty prediction today – Nov 8, 2024: Trading within a range

Bank Nifty futures is currently stuck between 52,000 and 52,500




prediction

Nifty Prediction Today – November 11, 2024: Resistance ahead. Go short on a rise

Nifty 50 November Futures contract can fall to 23,900




prediction

Bank Nifty Prediction Today – November 11, 2024: Wait for dips to go long

Bank Nifty November Futures can rise to 52,500 if the bounce sustains




prediction

First report on the assessment of maximum acceptable daily intake (MADI) of pesticides for humans using intelligent consensus predictions

Environ. Sci.: Processes Impacts, 2024, Accepted Manuscript
DOI: 10.1039/D4EM00059E, Paper
Ankur Kumar, Probir Kumar Ojha, Kunal Roy
Direct or indirect consumption of pesticides and their related products by humans and other living organisms without safe dosing may pose a health risk. The risk may arise after a...
The content of this RSS Feed (c) The Royal Society of Chemistry




prediction

Testing predictions on supplier governance from the global value chains literature [electronic journal].




prediction

The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia [electronic journal].

National Bureau of Economic Research




prediction

Mutually Consistent Revealed Preference Demand Predictions [electronic journal].




prediction

The Hard Problem of Prediction for Conflict Prevention [electronic journal].




prediction

SIGMAP: an explainable artificial intelligence tool for SIGMA-1 receptor affinity Prediction

RSC Med. Chem., 2024, Accepted Manuscript
DOI: 10.1039/D4MD00722K, Research Article
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Maria Cristina Lomuscio, Nicola Corriero, Vittoria Nanna, Antonio Piccinno, Michele Saviano, Rosa Lanzilotti, Carmen Abate, Domenico Alberga, Giuseppe Felice Mangiatordi
Developing sigma-1 receptor (S1R) modulators is considered a valuable therapeutic strategy to counteract neurodegeneration, cancer progression, and viral infections, including COVID-19. In this context, in-silico tools capable of accurately predicting...
The content of this RSS Feed (c) The Royal Society of Chemistry




prediction

Synergy of prediction rule and total synthesis in solving the stereochemical puzzle of eucalactam B

Org. Chem. Front., 2024, Advance Article
DOI: 10.1039/D4QO01777C, Research Article
Chenqi Wang, Junyang Liu, Tao Ye
The absolute configurations of the fungal-derived reduced polyketide eucalactam B were initially predicted using the “Biochemistry-based rule” and later confirmed through its first successful total synthesis.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




prediction

In silico molecular docking and ADMET prediction of biogenic zinc oxide nanoparticles: characterization, and in vitro antimicrobial and photocatalytic activity

RSC Adv., 2024, 14,36209-36225
DOI: 10.1039/D4RA06890D, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Hajara Akhter, Susmita Sarker Ritu, Shahariar Siddique, Fariha Chowdhury, Rehnuma Tasmiyah Chowdhury, Samina Akhter, Mahmuda Hakim
A facile green route to synthesize zinc oxide nanoparticles using watermelon rind extract with antimicrobial and photocatalytic potential.
The content of this RSS Feed (c) The Royal Society of Chemistry




prediction

A novel method for exploration and prediction of the bioactive target of rice bran-derived peptide (KF-8) by integrating computational methods and experiments

Food Funct., 2024, Advance Article
DOI: 10.1039/D4FO02493A, Paper
Rui Liang, Fangliang Song, Ying Liang, Yanpeng Fang, Jianqiang Wang, Yajuan Chen, Zhongxu Chen, Xiaorong Tan, Jie Dong
The diagram of the strategy to explore peptide targets based on model predictions and experiments.
To cite this article before page numbers are assigned, use the DOI form of citation above.
The content of this RSS Feed (c) The Royal Society of Chemistry




prediction

Nifty Prediction Today – November 12, 2024: Can be range bound. Stay out of the market

Nifty 50 November Futures contract can trade in a range of 24,100-24,500




prediction

Bank Nifty Prediction Today – November 12, 2024: Bearish. Go short now and on a rise

Bank Nifty November Futures can fall to 51,500 and even 51,250




prediction

IND vs SA, 3rd T20I Dream11 prediction: Fantasy cricket tips for India vs South Africa match

IND vs SA Dream 11 Team - Check My Dream11 Team, Best Player's list for 3rd T20I between South Africa and India.




prediction

IND vs SA 1st T20 Match Date, Live Streaming, Pitch Report, weather, squads, Playing XI prediction




prediction

IND vs SA 2nd T20 Date, Pitch Report, weather, squads, Playing XI prediction




prediction

IND vs SA 3rd T20 Date, Live Streaming: Playing XI prediction, head-to-head stats, pitch report and weather update




prediction

Ten Clean Energy Stocks: Past Performance and Predictions for 2015

The last two months have not been kind to clean energy stocks. Most commentators attribute the weakness to declining oil prices and the Republicans' strong showing in the midterm elections.




prediction

Removal/emission predictions of wastewater treatment for exposure assessment and Pollutant Release and Transfer Registers

This document compiles information on the current methodologies, tools and models and helps readers identify appropriate models/ and methodologies for estimating substance-specific removal/emissions from wastewater treatment systems. It could support efforts to improve these models and tools.




prediction

Taiwan Dragons vs Hsinchu Titans, Dream11 Prediction: Best picks for TDG vs HST today in Taipei T10 League

TDG vs HST Dream11 Team - Check My Dream11 Team, Best players list of today's match, Taiwan Dragons vs Hsinchu Titans Dream11 Team Player List, TDG Dream11 Team Player List, HST Dream11 Team Player List, Dream11 Guru Tips, Online Cricket Tips, Taiwan Dragons vs Hsinchu Titans Head to Head.




prediction

Taiwan Dragons vs Hsinchu Titans, Dream11 Prediction: Best picks for TDG vs...

Taiwan Dragons vs Hsinchu Titans, Dream11 Prediction: Best picks for TDG vs...




prediction

Taiwan Dragons vs Taiwan Daredevils, Dream11 Prediction: Best picks fo...

Taiwan Dragons vs Taiwan Daredevils, Dream11 Prediction: Best picks fo...




prediction

Hsinchu Titans vs Taiwan Daredevils, Dream11 Prediction: Best picks for HST...

Hsinchu Titans vs Taiwan Daredevils, Dream11 Prediction: Best picks for HST...




prediction

Taiwan Dragons vs Taiwan Daredevils, Dream11 Prediction: Best picks for TDG vs TDR today in Taipei T10 League

TDG vs TDR Dream11 Team - Check My Dream11 Team, Best players list of today's match, Taiwan Dragons vs Taiwan Daredevils Dream11 Team Player List, TDG Dream11 Team Player List, TDR Dream11 Team Player List, Dream11 Guru Tips, Online Cricket Tips, Taiwan Dragons vs Taiwan Daredevils Head to Head.




prediction

Hsinchu Titans vs Taiwan Daredevils, Dream11 Prediction: Best picks for HST vs TDR today in Taipei T10 League

HST vs TDR Dream11 Team - Check My Dream11 Team, Best players list of today's match, Hsinchu Titans vs Taiwan Daredevils Dream11 Team Player List, TDG Dream11 Team Player List, HST Dream11 Team Player List, Dream11 Guru Tips, Online Cricket Tips, Hsinchu Titans vs Taiwan Daredevils Head to Head.




prediction

Prediction of models for ordered solvent in macromolecular structures by a classifier based upon resolution-independent projections of local feature data

Current software tools for the automated building of models for macro­molecular X-ray crystal structures are capable of assembling high-quality models for ordered macromolecule and small-molecule scattering components with minimal or no user supervision. Many of these tools also incorporate robust functionality for modelling the ordered water molecules that are found in nearly all macromolecular crystal structures. However, no current tools focus on differentiating these ubiquitous water molecules from other frequently occurring multi-atom solvent species, such as sulfate, or the automated building of models for such species. PeakProbe has been developed specifically to address the need for such a tool. PeakProbe predicts likely solvent models for a given point (termed a `peak') in a structure based on analysis (`probing') of its local electron density and chemical environment. PeakProbe maps a total of 19 resolution-dependent features associated with electron density and two associated with the local chemical environment to a two-dimensional score space that is independent of resolution. Peaks are classified based on the relative frequencies with which four different classes of solvent (including water) are observed within a given region of this score space as determined by large-scale sampling of solvent models in the Protein Data Bank. Designed to classify peaks generated from difference density maxima, PeakProbe also incorporates functionality for identifying peaks associated with model errors or clusters of peaks likely to correspond to multi-atom solvent, and for the validation of existing solvent models using solvent-omit electron-density maps. When tasked with classifying peaks into one of four distinct solvent classes, PeakProbe achieves greater than 99% accuracy for both peaks derived directly from the atomic coordinates of existing solvent models and those based on difference density maxima. While the program is still under development, a fully functional version is publicly available. PeakProbe makes extensive use of cctbx libraries, and requires a PHENIX licence and an up-to-date phenix.python environment for execution.




prediction

Molecular replacement using structure predictions from databases

Molecular replacement (MR) is the predominant route to solution of the phase problem in macromolecular crystallography. Where the lack of a suitable homologue precludes conventional MR, one option is to predict the target structure using bioinformatics. Such modelling, in the absence of homologous templates, is called ab initio or de novo modelling. Recently, the accuracy of such models has improved significantly as a result of the availability, in many cases, of residue-contact predictions derived from evolutionary covariance analysis. Covariance-assisted ab initio models representing structurally uncharacterized Pfam families are now available on a large scale in databases, potentially representing a valuable and easily accessible supplement to the PDB as a source of search models. Here, the unconventional MR pipeline AMPLE is employed to explore the value of structure predictions in the GREMLIN and PconsFam databases. It was tested whether these deposited predictions, processed in various ways, could solve the structures of PDB entries that were subsequently deposited. The results were encouraging: nine of 27 GREMLIN cases were solved, covering target lengths of 109–355 residues and a resolution range of 1.4–2.9 Å, and with target–model shared sequence identity as low as 20%. The cluster-and-truncate approach in AMPLE proved to be essential for most successes. For the overall lower quality structure predictions in the PconsFam database, remodelling with Rosetta within the AMPLE pipeline proved to be the best approach, generating ensemble search models from single-structure deposits. Finally, it is shown that the AMPLE-obtained search models deriving from GREMLIN deposits are of sufficiently high quality to be selected by the sequence-independent MR pipeline SIMBAD. Overall, the results help to point the way towards the optimal use of the expanding databases of ab initio structure predictions.




prediction

Mercury 4.0: from visualization to analysis, design and prediction

The program Mercury, developed at the Cambridge Crystallographic Data Centre, was originally designed primarily as a crystal structure visualization tool. Over the years the fields and scientific communities of chemical crystallography and crystal engineering have developed to require more advanced structural analysis software. Mercury has evolved alongside these scientific communities and is now a powerful analysis, design and prediction platform which goes a lot further than simple structure visualization.




prediction

Crystal structures of two furazidin polymorphs revealed by a joint effort of crystal structure prediction and NMR crystallography

This work presents the crystal structure determination of two elusive polymorphs of furazidin, an antibacterial agent, employing a combination of crystal structure prediction (CSP) calculations and an NMR crystallography approach. Two previously uncharacterized neat crystal forms, one of which has two symmetry-independent molecules (form I), whereas the other one is a Z' = 1 polymorph (form II), crystallize in P21/c and P1 space groups, respectively, and both are built by different conformers, displaying different intermolecular interactions. It is demonstrated that the usage of either CSP or NMR crystallography alone is insufficient to successfully elucidate the above-mentioned crystal structures, especially in the case of the Z' = 2 polymorph. In addition, cases of serendipitous agreement in terms of 1H or 13C NMR data obtained for the CSP-generated crystal structures different from the ones observed in the laboratory (false-positive matches) are analyzed and described. While for the majority of analyzed crystal structures the obtained agreement with the NMR experiment is indicative of some structural features in common with the experimental structure, the mentioned serendipity observed in exceptional cases points to the necessity of caution when using an NMR crystallography approach in crystal structure determination.




prediction

$2.5 Million in Grants Available to Advance Understanding and Prediction of Gulf of Mexico Loop Current

The Gulf Research Program (GRP) of the National Academies of Sciences, Engineering, and Medicine today announced a new funding opportunity to provide up to $2.5 million in grants to foster innovative approaches that support its ongoing efforts to improve understanding and prediction of the Gulf of Mexico Loop Current System (LCS).




prediction

Gulf Research Program Awards $2 Million to Seven Projects to Improve Understanding and Prediction of the Gulf of Mexico Loop Current System

The Gulf Research Program (GRP) of the National Academies of Sciences, Engineering, and Medicine today announced $2 million in grant awards for seven new projects through its Understanding Gulf Ocean Systems (UGOS) Grants 2 competition.




prediction

Mapping global sea level rise: new gravity data help provide more accurate predictions

Research from the US helps paint a clearer picture of the extent of global sea level rise, by considering new satellite data on the Earth’s gravity. Its findings support reports of accelerating ice melt and suggest that most of the change in sea levels is caused by receding polar ice sheets and mountain glaciers.




prediction

Mobile Video Index to trend in 2018: Openwave mobility predictions

Openwave Mobility released predictions for 2018 based on two major pieces of analysis- the mobile video index (MVI) based on live data gathered from over 30 global mobile operators and the NFV Playbook, based on NFV trials and deployments with insight from leading industry analysts.




prediction

Better predictions of climate change impact on wildlife thanks to genetically informed modelling

The effects of climate change on the distribution of species can be predicted more accurately by considering the genetic differences between different groups of the same species, a new study suggests. The researchers found that a computer model which incorporated genetic information on different groups of a US tree species was up to 12 times more accurate in predicting tree locations than a non-genetically informed model.




prediction

Improved prediction of urban air quality through ‘neural’ networks

A recent study assesses new methods for comparing and predicting air quality data in Helsinki, Finland and Thessaloniki, Greece, that significantly improve the capability to analyse and predict air quality in these cities. There are good indications that the methods could be applied to other European cities.




prediction

​Machine learning technique sharpens prediction of material's mechanical properties

...




prediction

​Machine learning technique sharpens mechanical property prediction 

Scientists at NTU Singapore, MIT and Brown University have developed new approaches that significantly improve the accuracy of an important material testing technique by harnessing the power of machine learning....




prediction

10 worst tech predictions of all time

The technology industry is spurred by those who think ahead and think big — but these predictions were all wrong.



  • Gadgets & Electronics

prediction

Hurricane Irene predictions came true

Sometimes it's not that hard to predict the future and that's just what happened with Hurricane Irene.



  • Climate & Weather

prediction

5 predictions for the green car market

Electric vehicles, hybrids and plug-ins will be on the market by the end of the year. Here's a look into the crystal ball.




prediction

2015 food trend predictions: Ugly, smokey and smelly

But don't be put off by the headline: I'm excited about what I'm hearing about what's coming next year.




prediction

Four politically incorrect predictions about Hurricane Irene

When crisis hits, the jokesters come out of the woodwork. Here is what to expect.




prediction

Flying Stars Fengshui for 2006 : Yearly Predictions & Remedies for Main Door facing South West

If the Main Door of your flat/office/building faces South West, then read on to find out how you will fare in 2006 in your Career/Business, Health, Wealth, Relationships, Harmony and Love.




prediction

Flying Stars Fengshui for 2006 : Yearly Predictions & Remedies for Main Door facing North

If the Main Door of your flat/office/building faces North, then read on to find out how you will fare in 2006 in your Career/Business, Health, Wealth, Relationships, Harmony and Love. Be aware of your strengths and be warned of the negative energy that you may have to face, to plan your strategies well ahead. Also advice regarding directions to be avoided for renovation, reconstruction, redecoration, etc. in 2006. Get to know the Fengshui Enhancers and Cures that can help you, too.




prediction

Flying Stars Fengshui for 2006: Yearly Predictions & Remedies for Main Door facing South

If the Main Door of your flat/office/building faces South, then read on to find out how you will fare in 2006 in your Career/Business, Health, Wealth, Relationships, Harmony and Love. Be aware of your strengths and be warned of the negative energy that you may have to face, to plan your strategies well ahead. Also advice regarding directions to be avoided for renovation, reconstruction, redecoration, etc. in 2006. Get to know the Fengshui Enhancers and Cures that can help you, too.




prediction

Flying Stars Fengshui for 2006: Yearly Predictions & Remedies for Main Door facing East

If the Main Door of your flat/office/building faces East, then read on to find out how you will fare in 2006 in your Career/Business, Health, Wealth, Relationships, Harmony and Love. Be aware of your strengths and be warned of the negative energy that you may have to face, to plan your strategies well ahead. Also advice regarding directions to be avoided for renovation, reconstruction, redecoration, etc. in 2006. Get to know the Fengshui Enhancers and Cures that can help you, too.