DONOSTIA-SAN SEBASTIÁN, Spain, Nov. 13, 2024 — Multiverse Computing, a leading quantum AI software company, today announced the launch of Singularity Machine Learning – Classification within IBM’s recently launched Qiskit […]

The post Multiverse Computing Launches Singularity ML Classification Function in IBM’s Qiskit Functions Catalog appeared first on HPCwire.

AGRESSO SQL Functions Reference 2.0 released. This freeware reference provides a list of the functions available in AGRESSO SQL, their meanings and syntax. Version 2.0 contains many new entries; built-in hyperlinks allow easy navigation between entries.

Information regarding cd drives and guide to selecting the right one to suit your requirements.

Information on the evolution and selection of computer memory.

Information on the evolution and selection of computer memory.

(Telecompaper) MultiChoice says it will update its DStv Stream platform by letting viewers rewind live television channels by up to 24 hours and improving Watch from Start functionality and Cloud PVR Recordings, which it introduced on 12 November. The Cloud PVR Recording feature lets customers record live shows for viewing or re-watching within 30 days...

Aim/Purpose: The main goal of this systematic literature review was to look for studies that provide information relevant to business intelligence’s (BI) framework development and implementation in the tourism sector. This paper tries to classify the tourism sectors where BI is implemented, group various BI functionalities, and identify common problems encountered by previous research. Background: There has been an increased need for BI implementation to support decision-making in the tourism sector. Tourism stakeholders such as management of destination, accommodation, transportation, and public administration need a guideline to understand functional requirements before implementation. This paper addresses the problem by comprehensively reviewing the functionalities and issues that need to be considered based on previous business intelligence framework development and implementation in tourism sectors. Methodology: We have conducted a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Guidelines for Meta-Analysis (PRISMA) method. The search is conducted using online academic database platforms, resulting in 543 initial articles published from 2002 to 2022. Contribution: The paper could be of interest to relevant stakeholders in the tourism industry because it provides an overview of the capabilities and limitations of business intelligence for tourism. To our knowledge, this is the first study to identify and classify the BI functionalities needed for tourism sectors and implementation issues related to organizations, people, and technologies that need to be considered. Findings: BI functionalities identified in this study include basic functions such as data analysis, reports, dashboards, data visualization, performance metrics, and key performance indicator, and advanced functions such as predictive analytics, trend indicators, strategic planning tools, profitability analysis, benchmarking, budgeting, and forecasting. When implementing BI, the issues that need to be considered include organizational, people and process, and technological issues. Recommendations for Practitioners: As data is a major issue in BI implementation, tourism stakeholders, especially in developing countries, may need to build a tourism data center or centralized coordination regulated by the government. They can implement basic functions first before implementing more advanced features later. Recommendation for Researchers: We recommend further studying the BI implementation barriers by employing a perspective of an adoption framework such as the technology, organization, and environment (TOE) framework. Impact on Society: This research has a potential impact on improving the tourism industry’s performance by providing insight to stakeholders about what is needed to help them make more accurate decisions using business intelligence. Future Research: Future research may involve collaboration between practitioners and academics in developing various BI architectures specific to each tourism industry, such as destination management, hospitality, or transportation.

Uppsala, Sweden – A study of current and former shift workers shows that shift work may contribute to cognitive difficulties that take years to recover from, according to researchers at Uppsala University and Malmö University.

An implementation of Slater-type spherical scattering factors for X-ray and electron diffraction for elements in the range Z = 1–103 is presented within the software Olex2. Both high- and low-angle Fourier behaviour of atomic electron density and electrostatic potential can thus be addressed, in contrast to the limited flexibility of the four Gaussian plus constant descriptions which are currently the most widely used method for calculating atomic scattering factors during refinement. The implementation presented here accommodates the increasing complexity of the electronic structure of heavier elements by using complete atomic wavefunctions without any interpolation between precalculated tables or intermediate fitting functions. Atomic wavefunctions for singly charged ions are implemented and made accessible, and these show drastic changes in electron diffraction scattering factors compared with the neutral atom. A comparison between the two different spherical models of neutral atoms is presented as an example for four different kinds of X-ray and two electron diffraction structures, and comparisons of refinement results using the existing diffraction data are discussed. A systematic but slight improvement in R values and residual densities can be observed when using the new scattering factors, and this is discussed relative to effects on the atomic displacement parameters and atomic positions, which are prominent near the heavier elements in a structure.

X-ray photon correlation spectroscopy (XPCS) is a powerful tool for the investigation of dynamics covering a broad range of timescales and length scales. The two-time correlation function (TTC) is commonly used to track non-equilibrium dynamical evolution in XPCS measurements, with subsequent extraction of one-time correlations. While the theoretical foundation for the quantitative analysis of TTCs is primarily established for equilibrium systems, where key parameters such as the diffusion coefficient remain constant, non-equilibrium systems pose a unique challenge. In such systems, different projections (`cuts') of the TTC may lead to divergent results if the underlying fundamental parameters themselves are subject to temporal variations. This article explores widely used approaches for TTC calculations and common methods for extracting relevant information from correlation functions, particularly in the light of comparing dynamics in equilibrium and non-equilibrium systems.

This article demonstrates the feasibility of obtaining accurate pair distribution functions of thin amorphous films down to 80 nm, using modern laboratory-based X-ray sources. The pair distribution functions are obtained using a single diffraction scan without the requirement of additional scans of the substrate or of the air. By using a crystalline substrate combined with an oblique scattering geometry, most of the Bragg scattering of the substrate is avoided, rendering the substrate Compton scattering the primary contribution. By utilizing a discriminating energy filter, available in the latest generation of modern detectors, it is demonstrated that the Compton intensity can further be reduced to negligible levels at higher wavevector values. Scattering from the sample holder and the air is minimized by the systematic selection of pixels in the detector image based on the projected detection footprint of the sample and the use of a 3D-printed sample holder. Finally, X-ray optical effects in the absorption factors and the ratios between the Compton intensity of the substrate and film are taken into account by using a theoretical tool that simulates the electric field inside the film and the substrate, which aids in planning both the sample design and the measurement protocol.

X-ray scattering has become a major tool in the structural characterization of nanoscale materials. Thanks to the widely available experimental and computational atomic models, coordinate-based X-ray scattering simulation has played a crucial role in data interpretation in the past two decades. However, simulation of real-space pair distance distribution functions (PDDFs) from small- and wide-angle X-ray scattering, SAXS/WAXS, has been relatively less exploited. This study presents a comparison of PDDF simulation methods, which are applied to molecular structures that range in size from β-cyclo­dextrin [1 kDa molecular weight (MW), 66 non-hydrogen atoms] to the satellite tobacco mosaic virus capsid (1.1 MDa MW, 81 960 non-hydrogen atoms). The results demonstrate the power of interpretation of experimental SAXS/WAXS from the real-space view, particularly by providing a more intuitive method for understanding of partial structure contributions. Furthermore, the computational efficiency of PDDF simulation algorithms makes them attractive as approaches for the analysis of large nanoscale materials and biological assemblies. The simulation methods demonstrated in this article have been implemented in stand-alone software, SolX 3.0, which is available to download from https://12idb.xray.aps.anl.gov/solx.html.

Jiro's Pick this week is dabarplot, daviolinplot, daboxplot by Povilas Karvelis.Today, I'd like to highlight a couple of things in this post.Statistical visualization functions"Open in MATLAB Online"... read more >>

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Viruses are invading pathogens that infect host cells and rapidly replicate throughout the body. They carry a small piece of genetic material such as DNA o

Viruses are invading pathogens that infect host cells and rapidly replicate throughout the body. They carry a small piece of genetic material such as DNA o

ETSI releases cybersecurity specification to secure sensitive functions in a virtualized environment

Sophia Antipolis, 6 February 2019

The ETSI Technical Committee on Cybersecurity (TC CYBER) has just released ETSI TS 103 457, that tackles the challenge of secure storage - where organizations want to protect customer data whilst still using a cloud that is not under their direct control.

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Sophia Antipolis, 26 January 2023

The ETSI Industry Specification Group for Network Functions Virtualization (ISG NFV) has just published its next drop of specifications around new enhancements of the NFV architecture that will support cloud-native network functions.

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Exciting learning at Forest Hills Eastern High School! Our amazing AP Psychology teacher, Mr. Cameron Wysocki, has taken education to the next level by merging science and creativity! Students are learning about different parts of the brain by designing their own Pokémon characters and cards. After crafting their creations, they went head-to-head in a Pokémon […]

The post AP Psychology class learns brain functions while playing Pokemon appeared first on Forest Hills Public Schools.

Kobe JALT (Kobe Chapter of the Japan Association for Language Teaching). December 8 (Sun), 14:00-15:30 in Kobe, Hyogo. Stephen McNamara (Kwansei Gakuin University).

Room 29, Parliament Buildings

Organization, responsibilities and functions of control and sub-control international television centres and control and sub-control stations for international television connections, links, circuits and circuit sections

Organization, responsibilities and functions of control and sub-control ITCs and control and sub-control stations for international television connections, links, circuits and circuit sections

Functions and metadata of spatiotemporal information service for smart cities

JSTP-IBBDTV - Integrated broadcast-broadband digital TV application cooperated with server for functional extension including functions of digital TV reception and processing

GSTP-HNAFS - Architecture, functions, and services of home network

By Jefferson Frank, freelance writer.

Running a business requires you to take care of multiple tasks every single day. From managing customer orders to tracking financial transactions, there are endless jobs that demand your attention. It's no secret that many companies struggle with managing all of these functions efficiently, especially back-office operations, which are the backbone of any organisation, but they are often time-consuming, manual, and error-prone.

Location: Electronic Resource- 

Are you curious to learn more about Excel? Interested in refining your Excel skills? Wondering if you can use it more effectively? Join us for this introduction to Excel functions workshop. We will discuss using Excel functions, as well as working with text and dates. No previous knowledge required.

E. A. Rakhmanov and S. P. Suetin
Trans. Moscow Math. Soc. 83 (), 269-290.
Abstract, references and article information

M. A. Stepanova
Trans. Moscow Math. Soc. 83 (), 1-13.
Abstract, references and article information

Haiyong Wang
Math. Comp. 93 (), 2861-2884.
Abstract, references and article information

Ming-Lun Hsieh and Shunsuke Yamana
Trans. Amer. Math. Soc. 377 (), 5617-5672.
Abstract, references and article information

Ferdinand Ihringer
Proc. Amer. Math. Soc. 152 (), 5355-5365.
Abstract, references and article information

Lawford Hatcher
Proc. Amer. Math. Soc. 152 (), 5191-5205.
Abstract, references and article information

Programmed cell death protein 1 (PD-1) is a critical inhibitory receptor that limits excessive T cell responses. Cancer cells have evolved to evade these immunoregulatory mechanisms by upregulating PD-1 ligands and preventing T cell–mediated anti-tumor responses. Consequently, therapeutic blockade of PD-1 enhances T cell–mediated anti-tumor immunity, but many patients do not respond and a significant proportion develop inflammatory toxicities. To improve anti-cancer therapy, it is critical to reveal the mechanisms by which PD-1 regulates T cell responses. We performed global quantitative phosphoproteomic interrogation of PD-1 signaling in T cells. By complementing our analysis with functional validation assays, we show that PD-1 targets tyrosine phosphosites that mediate proximal T cell receptor signaling, cytoskeletal organization, and immune synapse formation. PD-1 ligation also led to differential phosphorylation of serine and threonine sites within proteins regulating T cell activation, gene expression, and protein translation. In silico predictions revealed that kinase/substrate relationships engaged downstream of PD-1 ligation. These insights uncover the phosphoproteomic landscape of PD-1–triggered pathways and reveal novel PD-1 substrates that modulate diverse T cell functions and may serve as future therapeutic targets. These data are a useful resource in the design of future PD-1–targeting therapeutic approaches.

Gle1 is a conserved, essential regulator of DEAD-box RNA helicases, with critical roles defined in mRNA export, translation initiation, translation termination, and stress granule formation. Mechanisms that specify which, where, and when DDXs are targeted by Gle1 are critical to understand. In addition to roles for stress-induced phosphorylation and inositol hexakisphosphate binding in specifying Gle1 function, Gle1 oligomerizes via its N-terminal domain in a phosphorylation-dependent manner. However, a thorough analysis of the role for Gle1 self-association is lacking. Here, we find that Gle1 self-association is driven by two distinct regions: a coiled-coil domain and a novel 10-amino acid aggregation-prone region, both of which are necessary for proper Gle1 oligomerization. By exogenous expression in HeLa cells, we tested the function of a series of mutations that impact the oligomerization domains of the Gle1A and Gle1B isoforms. Gle1 oligomerization is necessary for many, but not all aspects of Gle1A and Gle1B function, and the requirements for each interaction domain differ. Whereas the coiled-coil domain and aggregation-prone region additively contribute to competent mRNA export and stress granule formation, both self-association domains are independently required for regulation of translation under cellular stress. In contrast, Gle1 self-association is dispensable for phosphorylation and nonstressed translation initiation. Collectively, we reveal self-association functions as an additional mode of Gle1 regulation to ensure proper mRNA export and translation. This work also provides further insight into the mechanisms underlying human gle1 disease mutants found in prenatally lethal forms of arthrogryposis.

Stephanie Rudolph
Nov 8, 2023; 43:7554-7564
Symposium and Mini-Symposium

In SAS, the INPUT and PUT functions are powerful functions that enable you to convert data from character type to numeric type and vice versa. They work by applying SAS formats or informats to data. You cannot fully understand the INPUT and PUT functions without understanding formats and informats in [...]

The post Understand the PUT and INPUT functions in SAS appeared first on The DO Loop.

The INPUT function and PUT function in SAS are used to apply informats and formats (respectively) to data. For both functions, you must know in advance which informat or format you want to apply. For brevity, let's consider only applying a format. To use the PUT function, you must know [...]

The post Run-time variations of the INPUT and PUT functions in SAS appeared first on The DO Loop.

We have a big circuit having 12K gates totally and trying to show it in one page slide visually. But it is so hard for us to shrink it down from gate-level to module-level. Do you have any function like these:

• Toggle wires on and off
• “Right click” elements and group them into black boxes
• Quickly left or right align elements to clean up pictures

SEquence Evaluation through k-mer Representation (SEEKR) is a method of sequence comparison that uses sequence substrings called k-mers to quantify the nonlinear similarity between nucleic acid species. We describe the development of new functions within SEEKR that enable end-users to estimate P-values that ascribe statistical significance to SEEKR-derived similarities, as well as visualize different aspects of k-mer similarity. We apply the new functions to identify chromatin-enriched lncRNAs that contain XIST-like sequence features, and we demonstrate the utility of applying SEEKR on lncRNA fragments to identify potential RNA-protein interaction domains. We also highlight ways in which SEEKR can be applied to augment studies of lncRNA conservation, and we outline the best practice of visualizing RNA-seq read density to evaluate support for lncRNA annotations before their in-depth study in cell types of interest.

Cambridge : Cambridge University Press, 2018.