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gStore by GreyOrange unveils SoftFence - Next-generation virtual shielding for RFID-driven retail operations

GreyOrange Inc. has introduced SoftFence, a virtual shielding technology from its retail software as a service (SaaS) platform, gStore.




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Co-op Media Network powers up front-of-store digital screen rollout

The Co-op Media Network (CMN) is to install 300 new front-of-store digital media screens to turbo-charge its retail media offering, taking the total number of screens to over 9,000 across its store estate.




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Sex after vaccination is good, Russian doctor says

There is nothing wrong with having sex after vaccination against COVID-19, Vladislav Zhemchugov, Doctor of Medical Sciences, specialist in especially dangerous infections, said in an interview with RIA Novosti. According to him, sex is an energy-intensive process. However, according to the doctor, everything depends on the person.  “I think that on the contrary, a higher emotional background contributes to an increase in immunity,” the specialist said.




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Gene Therapy Protects Against Motor Neuron Disease in Rats 

University of Wisconsin-Madison researchers targeting a group of hereditary neurodegenerative diseases have found success using a gene therapy treatment in an animal model. The approach, which uses CRISPR-Cas9 genome editing technology, offers a unique and promising strategy that could one day treat rare but debilitating motor neuron diseases in humans.




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"Emotional Contagion" a Factor in Senior's Mental Health

A new study finds that seniors who tend to mirror other people's feelings are more likely to show signs of being anxious or depressed themselves.




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Do You Know What the Biggest Risk Factors for Pancreatic Cancer Are?




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Which Risk Factors Are Linked to Having a Severe Stroke?

People with conditions or habits such as high blood pressure, an irregular heartbeat called atrial fibrillation, or smoking, not only have a higher risk of stroke, they may also have more severe strokes than people without these risk factors, according to a study published in the November 13, 2024, online issue of Neurology(r), the medical journal of the American Academy of Neurology.




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"Emotional Contagion" a Factor in Senior's Mental Health

A new study finds that seniors who tend to mirror other people's feelings are more likely to show signs of being anxious or depressed themselves.




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Do You Know What the Biggest Risk Factors for Pancreatic Cancer Are?




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Which Risk Factors Are Linked to Having a Severe Stroke?

People with conditions or habits such as high blood pressure, an irregular heartbeat called atrial fibrillation, or smoking, not only have a higher risk of stroke, they may also have more severe strokes than people without these risk factors, according to a study published in the November 13, 2024, online issue of Neurology(r), the medical journal of the American Academy of Neurology.




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American Sociological Association Appoints Heather Washington as Executive Director

The appointment is historic for ASA; Washington is the first person of color, and the first Minority Fellowship Program (MFP) alum named ASA executive director.




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Maintaining "Good" Care: An Articulation Work Perspective on Organizational Ethics in the Healthcare Sector




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Prosecutors Seek Four-Year Sentence for Footballer Who Admitted Secretly Filming Sex Acts

[Sports] :
Prosecutors are seeking a four-year prison term for football forward Hwang Ui-jo, who has admitted to filming sexual encounters without his partners’ consent. The 32-year-old footballer, who plays for the Turkish Süper Lig club Alanyaspor, entered the guilty plea Wednesday at the Seoul Central District ...

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Gov't Holds Annual Silicon Valley Expo to Support S. Korean Firms in AI, Digital Sectors

[Science] :
The government held an annual conference and exhibition at Silicon Valley in the U.S. to give support to South Korean firms in the AI and digital sectors making inroads into the U.S. market. According to the ICT ministry on Saturday, the two-day K-Global@Silicon Valley 2024, marking its 13th year, ...

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Andy Kim Wins in New Jersey, Becoming First Korean American Senator

[International] :
Democratic Rep. Andy Kim was elected to the U.S. Senate on Tuesday, becoming the first Korean American to serve in the Senate.   With elections for the Senate and the House of Representatives taking place the same day as the U.S. presidential election, Kim defeated Curtis Bashaw in the New Jersey senatorial ...

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Operator of Japan’s Crippled Fukushima Nuclear Plant Retrieves Sample of Fuel Debris

[International] :
The operator of Japan’s Fukushima Daiichi nuclear power plant said it retrieved a small amount of melted fuel from one of the reactors for the first time since a major earthquake and tsunami crippled the nuclear facility in 2011. According to Japanese media outlets on Thursday, the Tokyo Electric Power ...

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OpenAI's ChatGPT Restored after Temporary Connection Failure

[International] :
Microsoft-backed OpenAI's popular chatbot ChatGPT was restored after a brief connection failure that affected thousands of users worldwide on Friday. In a statement on its website, OpenAI said that issues with ChapGPT have now been resolved. It said most users regained access by 4:34 p.m. Pacific ...

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22 Famous Leaders Who Changed History Forever

You don't have to be a prime minister, civil war general, Nobel Peace Prize laureate or founding father to learn the strengths of famous leaders and better your own life. You can learn a lot from the greatest leaders in history — including what to do and what not to do — and prepare for your time to lead others.




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Badger Maps Review: Navigating Your Sales Territory

Badger Maps is a cutting-edge sales territory management software that has revolutionized the way sales professionals plan and optimize their routes. With its innovative features and user-friendly interface, Badger Maps has become an indispensable tool for sales teams across various industries. In this article, we will take an in-depth look at Badger Maps, exploring its features and benefits, comparing it to traditional route planning methods, analyzing its pros and cons, and providing tips for maximizing productivity with this powerful tool.




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What Is a Carburetor and Why Does Your Car Need the Part?

A carburetor regulates the flow of air and gasoline into the engine cylinders. Learn about carburetors and find out how a carburetor works.




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What Does a Radiator Do?

The radiator of your car is composed of tubes that carry the coolant fluid, a protective cap that’s actually a pressure valve, and a tank on each side to catch the coolant overflow. Learn more about how a radiator cap works from this article.




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'Free Cholsoo Lee' Named Outstanding Historical Documentary at 45th Emmys

[Culture] :
A documentary about a 1970s campaign in the United States to release a Korean immigrant, who was wrongfully convicted of murder, from prison was honored at this year's Emmy Awards. According to the National Academy of Television Arts and Sciences(NATAS), the documentary, titled "Free Cholsoo ...

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Actor Yoo Teo included in Gold House's 2024 A100 List

Actor Yoo Teo has been included in the 2024 version of Gold House's 'The A100' list.The list, announced every May, nominates 100 of the world's most impactful Asian Pacific leaders in American culture...

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Top Private Search Engines: Comparing 5 Competitors

In the realm of online privacy, private search engines provide a shield against intrusive tracking and data collection. Let's explore five prominent options.




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Foreign Investors Sell Stocks for Third Consecutive Month

[Economy] :
Foreign investors were net sellers in the South Korean stock market for the third month in October. According to data from the Bank of Korea(BOK) on Friday, foreigners sold a net four-point-17 billion U.S. dollars worth of stocks last month. But the latest figure is lower than September’s total of ...

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Exploiting fourth-generation synchrotron radiation for enzyme and photoreceptor characterization

(Time-resolved) macromolecular crystallography at the new ESRF-ID29 beamline is described.




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From `crystallographic accuracy' to `thermodynamic accuracy': a redetermination of the crystal structure of calcium atorvastatin trihydrate (Lipitor®)

The crystal structure of calcium atorvastatin trihydrate was redetermined from previously published synchrotron powder diffraction data to give a much-improved agreement with two independent density-functional theory calculations.




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From `crystallographic accuracy' to `thermodynamic accuracy': a redetermination of the crystal structure of calcium atorvastatin trihydrate (Lipitor®)

With ever-improving quantum-mechanical computational methods, the accuracy requirements for experimental crystal structures increase. The crystal structure of calcium atorvastatin trihydrate, which has 56 degrees of freedom when determined with a real-space algorithm, was determined from powder diffraction data by Hodge et al. [Powder Diffr. (2020), 35, 136–143]. The crystal structure was a good fit to the experimental data, indicating that the electron density had been captured essentially correctly, but two independent quantum-mechanical calculations disagreed with the experimental structure and with each other. Using the same experimental data, the crystal structure was redetermined from scratch and it was shown that it can be reproduced within a root-mean-square Cartesian displacement of 0.1 Å by two independent quantum-mechanical calculations. The consequences for the calculated energies and solubilities are described.




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Analytical models representing X-ray form factors of ions

Parameters in analytical models for X-ray form factors of ions f0(s), based on the inverse Mott–Bethe formula involving a variable number of Gaussians, are determined for a wide range of published data sets {s, f0(s)}. The models reproduce the calculated form-factor values close to what is expected from a uniform statistical distribution with limits determined by their precision. For different ions associated with the same atom, the number of Gaussians in the models decreases with increasing net positive charge.




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Parameterized absorptive electron scattering factors

In electron diffraction, thermal atomic motion produces incoherent scattering over a relatively wide angular range, which appears as a diffuse background that is usually subtracted from measurements of Bragg spot intensities in structure solution methods. The transfer of electron flux from Bragg spots to diffuse scatter is modelled using complex scattering factors f + if' in the Bloch wave methodology. In a two-beam Einstein model the imaginary `absorptive' scattering factor f' can be obtained by the evaluation of an integral containing f over all possible scattering angles. While more sophisticated models of diffuse scatter are widely used in the electron microscopy community, it is argued in this paper that this simple model is appropriate for current structure solution and refinement methods. The two-beam model is a straightforward numerical calculation, but even this simplistic approach can become time consuming for simulations of materials with large numbers of atoms in the unit cell and/or many incident beam orientations. Here, a parameterized form of f' is provided for 103 elements as neutral, spherical atoms that reduces calculation time considerably.




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Instrumental broadening and the radial pair distribution function with 2D detectors

The atomic pair distribution function (PDF) is a real-space representation of the structure of a material. Experimental PDFs are obtained using a Fourier transform from total scattering data which may or may not have Bragg diffraction peaks. The determination of Bragg peak resolution in scattering data from the fundamental physical parameters of the diffractometer used is well established, but after the Fourier transform from reciprocal to direct space, these contributions are harder to identify. Starting from an existing definition of the resolution function of large-area detectors for X-ray diffraction, this approach is expanded into direct space. The effect of instrumental parameters on PDF peak resolution is developed mathematically, then studied with modelling and comparison with experimental PDFs of LaB6 from measurements made in different-sized capillaries.




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Ternary structure of Plasmodium vivax N-myristoyltransferase with myristoyl-CoA and inhibitor IMP-0001173

Plasmodium vivax is a major cause of malaria, which poses an increased health burden on approximately one third of the world's population due to climate change. Primaquine, the preferred treatment for P. vivax malaria, is contraindicated in individuals with glucose-6-phosphate dehydrogenase (G6PD) deficiency, a common genetic cause of hemolytic anemia, that affects ∼2.5% of the world's population and ∼8% of the population in areas of the world where P. vivax malaria is endemic. The Seattle Structural Genomics Center for Infectious Disease (SSGCID) conducted a structure–function analysis of P. vivax N-myristoyltransferase (PvNMT) as part of efforts to develop alternative malaria drugs. PvNMT catalyzes the attachment of myristate to the N-terminal glycine of many proteins, and this critical post-translational modification is required for the survival of P. vivax. The first step is the formation of a PvNMT–myristoyl–CoA binary complex that can bind to peptides. Understanding how inhibitors prevent protein binding will facilitate the development of PvNMT as a viable drug target. NMTs are secreted in all life stages of malarial parasites, making them attractive targets, unlike current antimalarials that are only effective during the plasmodial erythrocytic stages. The 2.3 Å resolution crystal structure of the ternary complex of PvNMT with myristoyl-CoA and a novel inhibitor is reported. One asymmetric unit contains two monomers. The structure reveals notable differences between the PvNMT and human enzymes and similarities to other plasmodial NMTs that can be exploited to develop new antimalarials.




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Human transforming growth factor β type I receptor in complex with kinase inhibitor SB505124

The crystal structure of the intracellular domain of transforming growth factor β type I receptor (TβR1) in complex with the competitive inhibitor SB505124 is presented. The study provides insights into the structure and function of TβR1 in complex with SB505124, and as such offers molecular-level understanding of the inhibition of this critical signalling pathway. The potential of SB505124 as an avenue for therapy in cancer treatment is discussed on basis of the results.




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Laboratory X-ray powder micro-diffraction in the research of painted artworks

This review summarizes the methodological aspects of laboratory X-ray powder micro-diffraction and demonstrates the assets of the method in the research of painted artworks for evaluation of their provenance or diagnosing their degradation.




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Characterization and calibration of DECTRIS PILATUS3 X CdTe 2M high-Z hybrid pixel detector for high-precision powder diffraction measurements

The performance of a high-Z photon-counting detector for powder diffraction measurements at high (>50 keV) energies is characterized, and the appropriate corrections are described in order to obtain data of higher quality than have previously been obtained from 2D detectors in these energy ranges.




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Specific radiation damage to halogenated inhibitors and ligands in protein–ligand crystal structures

This article reports an investigation into the effects of specific radiation damage to halogenated ligands in crystal structures of protein-inhibitor complexes.




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Welcoming two new Co-editors




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Crystal structure of N-terminally hexahistidine-tagged Onchocerca volvulus macrophage migration inhibitory factor-1

N-terminally hexahistidine-tagged O. volvulus macrophage migration inhibitory factor-1 has a unique jellyfish-like structure with the prototypical macrophage migration inhibitory factor trimer as the `head' and a C-terminal extension as the `tail'.




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Laboratory X-ray powder micro-diffraction in the research of painted artworks

Painted artworks represent a significant group of cultural heritage artifacts, which are primarily admired because of their aesthetic quality. Nevertheless, the value of each particular painting depends also on what is known about it. Material investigation of paintings is one of the most reliable sources of information. Materials in painted artworks (i.e. panel, easel and miniature paintings, wall paintings, polychromed sculptures etc.) represent an extensive set of inorganic and organic phases, which are often present in complicated mixtures and exhibit characteristics reflecting their geological genesis (mineral pigments), manufacturing technology (artificial pigments), diverse biological nature (binders or dyes) or secondary changes (degradation or intentional later interventions). The analyses of paintings are often made challenging by the heterogeneous nature and minute size of micro-samples or, in some cases, even by the impossibility of sampling due to the preciousness, fragility or small dimensions of the artwork. This review demonstrates the successful implementation of laboratory X-ray powder micro-diffraction for material investigation of paintings, illustrating its efficiency for mineralogical analysis of (i) earth-based materials indicating the provenance of paintings, (ii) copper-based pigments pointing to their origin, and (iii) products of both salt corrosion and saponification enabling one to reveal the deterioration and probable original appearance of artworks.




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Influence of device configuration and noise on a machine learning predictor for the selection of nanoparticle small-angle X-ray scattering models

Small-angle X-ray scattering (SAXS) is a widely used method for nanoparticle characterization. A common approach to analysing nanoparticles in solution by SAXS involves fitting the curve using a parametric model that relates real-space parameters, such as nanoparticle size and electron density, to intensity values in reciprocal space. Selecting the optimal model is a crucial step in terms of analysis quality and can be time-consuming and complex. Several studies have proposed effective methods, based on machine learning, to automate the model selection step. Deploying these methods in software intended for both researchers and industry raises several issues. The diversity of SAXS instrumentation requires assessment of the robustness of these methods on data from various machine configurations, involving significant variations in the q-space ranges and highly variable signal-to-noise ratios (SNR) from one data set to another. In the case of laboratory instrumentation, data acquisition can be time-consuming and there is no universal criterion for defining an optimal acquisition time. This paper presents an approach that revisits the nanoparticle model selection method proposed by Monge et al. [Acta Cryst. (2024), A80, 202–212], evaluating and enhancing its robustness on data from device configurations not seen during training, by expanding the data set used for training. The influence of SNR on predictor robustness is then assessed, improved, and used to propose a stopping criterion for optimizing the trade-off between exposure time and data quality.




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The African Light Source: history, context and future

The African Light Source (AfLS) project is now almost eight years old. This article assesses the history, current context and future of the project. There is by now considerable momentum in building the user community, including deep training, facilitating access to current facilities, growing the scientific output, scientific networks and growing the local laboratory-scale research infrastructure. The Conceptual Design Report for the AfLS is in its final editing stages. This document specifies the socio-economic and scientific rationales and the technical aspects amongst others. The AfLS is supported by many national and Pan-African scientific professional bodies and voluntary associates across many scientific disciplines, and there are stakeholders throughout the continent and beyond. The current roadmap phases have expanded to include national and Pan-African level conversations with policy makers through new Strategic Task Force groups. The document summarizes this progress and discusses the future of the project.