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Extraordinary Business Leadership Earns Sammy Montoya Santa Ana Chamber of Commerce Award & Recognition

Executives' Association of Orange County




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Auphonic Speech Recognition Engine using Whisper by OpenAI (Beta)

Today we release our first self-hosted Auphonic Speech Recognition Engine using the open-source Whisper model by OpenAI!
With Whisper, you can now integrate automatic speech recognition in 99 languages into your Auphonic audio post-production workflow, without creating an external account and without extra costs!

Whisper Speech Recognition in Auphonic

So far, Auphonic users had to choose one of our integrated external service providers (Wit.ai, Google Cloud Speech, Amazon Transcribe, Speechmatics) for speech recognition, so audio files were transferred to an external server, using external computing powers, that users had to pay for in their external accounts.

The new Auphonic Speech Recognition is using Whisper, which was published by OpenAI as an open-source project. Open-source means, the publicly shared GitHub repository contains a complete Whisper package including source code, examples, and research results.
However, automatic speech recognition is a very time and hardware-consuming process, that can be incredibly slow using a standard home computer without special GPUs. So we decided to integrate this service and offer you automatic speech recognition (ASR) by Whisper processed on our own hardware, just like any other Auphonic processing task, giving you quite some benefits:

  • No external account is needed anymore to run ASR in Auphonic.
  • Your data doesn't leave our Auphonic servers for ASR processing.
  • No extra costs for external ASR services.
  • Additional Auphonic pre- and post-processing for more accurate ASR, especially for Multitrack Productions.
  • The quality of Whisper ASR is absolutely comparable to the “best” services in our comparison table.

How to use Whisper?

To use the Auphonic Whisper integration, you just have to create a production or preset as you are used to and select “Auphonic Whisper ASR” as “Service” in the section Speech Recognition.
This option will automatically appear for Beta and paying users. If you are a free user but want to try Whisper: please just ask for access!

When your Auphonic speech recognition is done, you can download your transcript in different formats and may edit or share your transcript with the Auphonic Transcript Editor.
For more details about all our integrated speech recognition services, please visit our Speech Recognition Help and watch this channel for Whisper updates – soon to come.

Why Beta?

We decided to launch Whisper for Beta and paying users only, as Whisper was just published end of September and there was not enough time to test every single use case sufficiently.
Another issue is the required computing power: for suitable scaling of the GPU infrastructure, we need a beta phase to test the service while we are monitoring the hardware usage, to make sure there are no server overloads.

Conclusion

Automatic speech recognition services are evolving very quickly, and we've seen major improvements over the past few years.
With Whisper, we can now perform speech recognition without extra costs on our own GPU hardware, no external services are required anymore.

Auphonic Whisper ASR is available for Beta and paying users now, free users can ask for Beta access.
You are very welcome to send us feedback (directly in the production interface or via email), whether you notice something that works particularly well or discover any problems.
Your feedback is a great help to improve the system!







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New York to Require Human Trafficking Recognition Training for Certain Hospitality Employees

New York State Governor Kathy Hochul recently signed into law eight pieces of legislation designed to combat human trafficking. These laws require many hospitality industry employers to provide specific anti-human-trafficking awareness training to employees. They also require certain hospitality and transportation industry employers to post information regarding services available to human trafficking victims.




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Superior Battery Quality: How Automated Defect Recognition Supports Battery Manufacturers On Their Road To Excellence

Batteries are key to electrification, demanding high-quality control and efficient production. The use of Automated Defect Recognition (ADR) and other technologies is critical as the industry aims to scale up to meet the rising demand from electronics, electric vehicles, and energy storage sectors, while also minimizing environmental impacts.




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SE Radio Episode 318: Veronika Cheplygina on Image Recognition

Felienne interviews Veronika Cheplygina about image recognition. We cover the basic concepts of computer vision, it’s applications and relationship to machine learning.




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Building Trust, Generating Leads: The Dual Power of Brand Recognition

Amanda teaches us the importance of understanding the interplay between lead generation and brand recognition.




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WD-40 Specialty Line Gets Redesigned for Easy Recognition

The WD-40 Specialist ® line (launched in 2011) of professional-grade lubricants, penetrants, greases, cleaners and degreasers, and rust-management solutions, has an opportunity to be identified on the shelves faster by end users wiith new packaging.




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ProAmpac Receives Recognition for Fresh Fruit and Vegetables Packaging

The Environmental Packaging Awards, now in their second year, celebrate innovations and individuals making significant strides in sustainability within the packaging industry.




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OSCE Mission to Skopje supports face recognition on-site training for border police officers

Training
Thu, 2016-07-07 (All day) - Wed, 2016-11-30 (All day)
Country wide
OSCE Mission to Skopje, French Embassy
OSCE Mission to Skopje
South-Eastern Europe
Border management
Policing

The OSCE Mission to Skopje in close cooperation with the French Embassy is organizing on-site training courses on face recognition for border police officers countrywide. These half-day trainings, to be conducted by a French trainer, will help the border police officers detect impostors and prevent illegal use of documents in order to detect returning freedom-fighters and tackle the phenomenon of cross-border criminality more effectively, especially trans-national organized crime activity, human trafficking and human smuggling.
The first training will be conducted at Deve Bair crossing point, and will also take place at Kjafasan, St. Naum, Medzhitlija, Bogorodica, Dojran, Delchevo and other border crossing points.

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Recognition of challenges that Roma face in Ukraine key for the promotion of their fundamental rights, say participants at OSCE/ODIHR event

Improving the situation of Roma in Ukraine by enhancing co-operation between Roma civil society organizations and national and regional authorities was the focus of a roundtable meeting organized by the OSCE Office for Democratic Institutions and Human Rights (ODIHR) and the Ministry of Culture of Ukraine in Kyiv on 24 November 2015.

Some 40 participants from Ukrainian national and regional authorities, Roma civil society and the international community, discussed the challenges faced by Roma in the areas of education, employment, housing and policing.

“Further efforts are needed to implement a strong anti-discrimination approach in all policies targeting the integration and protection of Roma and, in particular, of Roma women,” said Mirjam Karoly, ODIHR Senior Adviser on Roma and Sinti Issues. “Measurable progress at the local level can only be achieved if policies are needs-based and have concrete objectives that are matched with measurable indicators and realistic budgets.”

Andriy Vitrenko, Deputy Minister of Culture of Ukraine for European Integration, stated that the Ministry was tasked in 2013to facilitate the implementation of the Strategy on the Protection and Integration of the Roma National Minority into Ukrainian Society up to 2020. “In order to achieve the goals set out in the Strategy, close collaboration among a number of ministries at the national level and good co-ordination with regional and local level authorities are needed.”

During the meeting, the participants emphasized that many Roma lack personal documents, hindering them from exercising their fundamental, social and political rights.

Volodomyr Kondur, Chairperson of the Roma Coalition, said: “We welcome the adoption of national and regional policy documents addressing the problems Roma face, but we want to see effective and sustainable results and ask for ensuring involvement of the Roma civil society in all stages of policy implementation and evaluation.”

The roundtable meeting was organized as a follow-up to ODIHR’s Situation Assessment Report on Roma in Ukraine and the Impact of the Current Crises and in line with the 2003 OSCE Action Plan on Roma and Sinti.

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Eliminate Ambient Noise to Make Speech Recognition More Accurate

Technology is improving speech's ability to hear what is necessary.




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Voice Recognition Market to Grow 15 Percent Through 2033

Evolve Business Intelligence valued the voice recognition market at $9.7 billion last year.




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Speaksee Raises Funds for Speech Recognition App for Hearing-Impaired People

Dutch startup Speaksee has raised more than $1.1 million to further develop its captioning apps and fuel its international expansion.




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ABR Previews Single Chip Solution for Speech Recognition

Applied Brain Research's self-contained, single-chip speech recognition solution?can perform real-time low latency automatic speech recognition.




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New LYDIA Voice Demo App includes unique 100% voice control and multilanguage recognition features

The advantages of 100% voice-controlled picking processes can now be tried out on any Android smartphone with the release of a new, expanded version of the LYDIA Voice Demo App, now available free-of-charge from the Google Play store. 




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Retailers and malls embrace facial recognition and video analytics for enhanced security and footfall analysis

In the recent 2-3 years, an increasing number of malls and retail chains have adopted real-time video analytics and facial recognition to enhance security, customer experience and footfall analysis.





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Recognition of the Simele Massacre of 1933

Recognition of the Simele Massacre of 1933




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Genocide Recognition by Itself Is Not Enough

Genocide Recognition by Itself Is Not Enough



  • Armenian
  • Assyrian and Hellenic Genocide News

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Recognition for community rugby leader

"Inspirational" Birmingham logistics boss helps community rugby club secure national award.




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Water catchment home in Africa wins special recognition

A water catchment house design in Africa won Special Recognition in the Architectural Design category at the Design Educates Awards 2023. The design by Hong-En, Lin addresses the challenges of water scarcity and pollution in Africa by using local materials and traditional weaving techniques to create a clean and sustainable water source.[...]




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Shared requirements for key residues in the antibiotic resistance enzymes ErmC and ErmE suggest a common mode of RNA recognition [Enzymology]

Erythromycin-resistance methyltransferases are SAM dependent Rossmann fold methyltransferases that convert A2058 of 23S rRNA to m6 2A2058. This modification sterically blocks binding of several classes of antibiotics to 23S rRNA, resulting in a multidrug-resistant phenotype in bacteria expressing the enzyme. ErmC is an erythromycin resistance methyltransferase found in many Gram-positive pathogens, whereas ErmE is found in the soil bacterium that biosynthesizes erythromycin. Whether ErmC and ErmE, which possess only 24% sequence identity, use similar structural elements for rRNA substrate recognition and positioning is not known. To investigate this question, we used structural data from related proteins to guide site-saturation mutagenesis of key residues and characterized selected variants by antibiotic susceptibility testing, single turnover kinetics, and RNA affinity–binding assays. We demonstrate that residues in α4, α5, and the α5-α6 linker are essential for methyltransferase function, including an aromatic residue on α4 that likely forms stacking interactions with the substrate adenosine and basic residues in α5 and the α5-α6 linker that likely mediate conformational rearrangements in the protein and cognate rRNA upon interaction. The functional studies led us to a new structural model for the ErmC or ErmE-rRNA complex.




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Glückwunsch! Hay Milk in Austria celebrates its recognition as FAO global agricultural heritage

Salzburg – Austria, marked a significant milestone as it celebrated the formal recognition of Traditional Hay Milk Farming in the Austrian Alpine Arc as a FAO Globally Important Agricultural [...]




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Faculty member's documentary gains international recognition

A documentary by a Penn State faculty filmmaker won an award in Canada and will screen Nov. 24 in Finland.




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DVR and SRC Host Annual Recognition Awards

THE DELAWARE DIVISION OF VOCATIONAL REHABILITATION AND THE STATE REHABILITATION COUNCIL RECOGNIZES THE VALUE OF WORKPLACE INCLUSION AT ITS ANNUAL RECOGNITION AWARDS LUNCHEON Wilmington, DE, December 6, 2018 — The Delaware Department of Labor’s Division of Vocational Rehabilitation (DVR) and the State Rehabilitation Council (SRC) will celebrate workplace inclusion by honoring the value and contribution […]




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National POW/MIA Recognition Day

In acknowledgement of National POW/MIA Recognition Day, Delaware Code (Title 29, Section 408) requires Delaware State agencies, including all public schools, to display a POW/MIA flag each year on the third Friday in September.




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Governor Carney Commends State of Delaware Employees in Celebration of Public Service Recognition Week, May 5-11

Governor John Carney honored Delaware state employees during Public Service Recognition Week, highlighting their dedication and exceptional contributions. The event, held at the Modern Maturity Center, celebrated the commitment of government workers to the welfare of Delaware communities.



  • Department of Human Resources
  • Governor John Carney
  • News
  • Office of the Governor
  • Delaware
  • DHR
  • PSRW
  • Public Service Recognition Week


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Voices from the Margins: Small-Scale Fishers Demand Rights, Recognition at COP16

Small-scale fishers play a fundamental role in feeding people—they use sustainable methods of catching and processing fish products and are a significant force in the employment and livelihoods of millions of people internationally—yet, until now, they have been excluded from climate and biodiversity conferences. For the first time at COP 16, which closed in Cali, […]




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Evolutionary dynamics of polyadenylation signals and their recognition strategies in protists [RESEARCH]

The poly(A) signal, together with auxiliary elements, directs cleavage of a pre-mRNA and thus determines the 3' end of the mature transcript. In many species, including humans, the poly(A) signal is an AAUAAA hexamer, but we recently found that the deeply branching eukaryote Giardia lamblia uses a distinct hexamer (AGURAA) and lacks any known auxiliary elements. Our discovery prompted us to explore the evolutionary dynamics of poly(A) signals and auxiliary elements in the eukaryotic kingdom. We use direct RNA sequencing to determine poly(A) signals for four protists within the Metamonada clade (which also contains G. lamblia) and two outgroup protists. These experiments reveal that the AAUAAA hexamer serves as the poly(A) signal in at least four different eukaryotic clades, indicating that it is likely the ancestral signal, whereas the unusual Giardia version is derived. We find that the use and relative strengths of auxiliary elements are also plastic; in fact, within Metamonada, species like G. lamblia make use of a previously unrecognized auxiliary element where nucleotides flanking the poly(A) signal itself specify genuine cleavage sites. Thus, despite the fundamental nature of pre-mRNA cleavage for the expression of all protein-coding genes, the motifs controlling this process are dynamic on evolutionary timescales, providing motivation for future biochemical and structural studies as well as new therapeutic angles to target eukaryotic pathogens.




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Branch site recognition by the spliceosome [REVIEW]

The spliceosome is a eukaryotic multimegadalton RNA–protein complex that removes introns from transcripts. The spliceosome ensures the selection of each exon-intron boundary through multiple recognition events. Initially, the 5' splice site (5' SS) and branch site (BS) are bound by the U1 small nuclear ribonucleoprotein (snRNP) and the U2 snRNP, respectively, while the 3' SS is mostly determined by proximity to the branch site. A large number of splicing factors recognize the splice sites and recruit the snRNPs before the stable binding of the snRNPs occurs by base-pairing the snRNA to the transcript. Fidelity of this process is crucial, as mutations in splicing factors and U2 snRNP components are associated with many diseases. In recent years, major advances have been made in understanding how splice sites are selected in Saccharomyces cerevisiae and humans. Here, I review and discuss the current understanding of the recognition of splice sites by the spliceosome with a focus on recognition and binding of the branch site by the U2 snRNP in humans.




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The Hidden Layers of Emotion Recognition

Emotion recognition is not solely based on facial expressions but involves a complex process where physical traits, cultural context, and background information




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Aspen Dental Practices Remind Patients, Caregivers About Importance of Regular Oral Care for Mature Adults in Recognition of Older Americans Month

Aspen Dental Practices Remind Patients, Caregivers About Importance of Regular Oral Care for Mature Adults in Recognitio




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Recognition and Global Politics : Critical encounters between state and world [Electronic book] / ed. by Patrick Hayden, Kate Schick.

Manchester : Manchester University Press, [2016]




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Tailored BODIPY-based fluorogenic probes for phosgene detection: a comparative evaluation of recognition sites

J. Mater. Chem. B, 2024, Advance Article
DOI: 10.1039/D4TB02040E, Paper
Suay Dartar, Beraat Umur Kaya, Yanki Öncü Yayak, Ezgi Vural, Mustafa Emrullahoğlu
Rare examples of ICT-based fluorescent probes incorporating phosgene specific recognition units at the 2-position of the BODIPY core.
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




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Machine Learning-Assisted Pattern Recognition and Imaging of Multiplexed Cancer Cells via Porphyrin-Embedded Dendrimer Array

J. Mater. Chem. B, 2024, Accepted Manuscript
DOI: 10.1039/D4TB01861C, Paper
Jiabao Hu, Weiwei Ni, Mengting Han, Yunzhen Zhan, Fei Li, Hui Huang, Jinsong Han
Early cancer detection plays a vital role in improving the survival rate of cancer patients, underscoring the importance of developing cancer detecting methods. However, it is of great challenge to...
The content of this RSS Feed (c) The Royal Society of Chemistry




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Mitochondria-targeted BODIPY dyes for small molecule recognition, bio-imaging and photodynamic therapy

Chem. Soc. Rev., 2024, 53,3976-4019
DOI: 10.1039/D3CS00456B, Review Article
Sisi Wang, Lizhi Gai, Yuncong Chen, Xiaobo Ji, Hua Lu, Zijian Guo
This review focuses on the design strategy, spectroscopic characteristics, and functionalization of mitochondrion-targeted BODIPY dyes, providing an overview of these dyes for mitochondrion-targeted bioimaging and photodynamic therapy.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Selective recognition between aromatics and aliphatics by cage-shaped borates supported by a machine learning approach

Org. Biomol. Chem., 2024, Advance Article
DOI: 10.1039/D4OB00408F, Paper
Open Access
Yuya Tsutsui, Issei Yanaka, Kazuhiro Takeda, Masaru Kondo, Shinobu Takizawa, Ryosuke Kojima, Akihito Konishi, Makoto Yasuda
Exploration of a Lewis acid with high selectivity for hydrocarbon moieties is assisted by a machine learning approach. Molecular polarizability is an essential factor, leading to design guidelines for Lewis acid catalysts with dispersion forces.
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




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A pyridine-N-oxide catenane for cation recognition

Org. Biomol. Chem., 2024, 22,3001-3008
DOI: 10.1039/D4OB00176A, Paper
Open Access
  This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.
Sean R. Barlow, Nathan R. Halcovitch, Nicholas H. Evans
A pyridine-N-oxide containing [2]catenane may be reversibly protonated, as well as bind lithium cations more strongly than sodium cations.
The content of this RSS Feed (c) The Royal Society of Chemistry




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How does facial recognition work and is it safe? | WIRED Explains

In May 2019, San Francisco became the first US city to ban the use of facial recognition, but this is an isolated example of resistance to this controversial technology. In the UK, it's been used on numerous occasions, while London's Metropolitan Police has confirmed that it will start using the technology as part of its regular policing. But how does facial recognition work and is it accurate and safe? In this WIRED Explains video, security editor Matt Burgess breaks down the ins and outs of the technology and the issues surrounding its use. This video was produced as part of Digital Society, a publishing partnership between WIRED and Vontobel where all content is editorially independent. Visit Vontobel Impact for more stories on how technology is shaping the future of society: https://www.vontobel.com/en-int/about-vontobel/impact/ #privacy #facialrecognition #wiredexplains




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How Face Recognition Can Destroy Anonymity

For most of human history, private citizens could reasonably assume they were more or less anonymous when venturing into public. Given the unchecked rise of face recognition, that's not a safe assumption anymore.




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Enhancing soil geographic recognition through LIBS technology: integrating the joint skewness algorithm with back-propagation neural networks

J. Anal. At. Spectrom., 2024, Advance Article
DOI: 10.1039/D4JA00251B, Paper
Weinan Zheng, Xun Gao, Kaishan Song, Hailong Yu, Qiuyun Wang, Lianbo Guo, Jingquan Lin
The meticulous task of soil region classification is fundamental to the effective management of soil resources and the development of accurate soil classification systems.
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




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Lawsuit Challenges Clearviews Use of Scraped Social Media Images for Facial Recognition

Facial recognition technology is getting more sophisticated, more reliable, and more pervasive as the world eases its way toward becoming an all-encompassing surveillance state. That surveillance state does not even have to be built; it is increasingly ready for deployment as law enforcement agencies cut deals with private companies that have already assembled the tools and databases for use. As with cell phone tracking, that plug-and-play quality does an end-run around safeguards that, at least nominally, restrict government actors, and invites legal challenges based on civil liberties concerns.




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An all-fibrous, permeable, adhesive, and stretchable self-powered electronic skin for sign language recognition

J. Mater. Chem. A, 2024, 12,30298-30308
DOI: 10.1039/D4TA05825A, Paper
Fan Chen, Xian Song, Jingjing Fu, Jiaheng Liang, Junhua Zhou, Jiehua Cai, Yufei Zhang, Mengjia Zhu, Yichun Ding, Jinxing Jiang, Zijian Chen, Youchao Qi, Zhihao Zhou, Qiyao Huang, Yingying Zhang, Zijian Zheng
An all-fibrous self-powered electronic skin that offers textile-like breathability, intrinsic stretchability, skin adhesion, biocompatibility, and good sensing performance for real-time gesture recognition assisted by machine learning.
The content of this RSS Feed (c) The Royal Society of Chemistry




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Global recognition to Gagandeep Kang for research on enteric diseases in children

This was part of the Gairdner Foundation’s announcement of its 2024 Canada Gairdner Award winners




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Molecular recognition of peptides and proteins by cucurbit[n]urils: systems and applications

Chem. Soc. Rev., 2024, Advance Article
DOI: 10.1039/D4CS00569D, Review Article
Open Access
Lilyanna Armstrong, Sarah L. Chang, Nia Clements, Zoheb Hirani, Lauren B. Kimberly, Keturah Odoi-Adams, Paolo Suating, Hailey F. Taylor, Sara A. Trauth, Adam R. Urbach
The molecular recognition of peptides and proteins by cucurbit[n]uril synthetic receptors in aqueous solution occurs with high affinity and with selectivity that is predictive from the sequence of amino acids and has enabled many applications.
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




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Water the Flowers You Want to Grow? Evidence on Private Recognition and Donor Loyalty [electronic journal].




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Proceedings of the Fourth International Conference on Document Analysis and Recognition [electronic journal].

IEEE Computer Society




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How Do Taxpayers Respond to Public Disclosure and Social Recognition Programs? Evidence from Pakistan [electronic journal].