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Evolving Trainee Participation in Radiologists’ Workload: A National Medicare-Focused Analysis From 2008 to 2020

PurposeIncreasing volumes and productivity expectations, along with practice type consolidation, may be impacting trainees’ roles in the work effort of radiologists involved in education. We assessed temporal shifts in trainee participation in radiologists’ workload nationally. MethodsAll US radiologists interpreting noninvasive diagnostic imaging for Medicare fee-for-service beneficiaries were identified from annual 5% Research Identifiable Files from 2008 to 2020 (n = 35,595). Teaching radiologists were defined as those billing services using Medicare’s GC modifier, indicating trainee supervision. Billed work relative value units were used to determine the percentage of teaching radiologists’ total workload with trainee participation. Mean trainee participation in workload was calculated for teaching radiologists overall and stratified by radiologist and practice characteristics determined using National Downloadable Files. ResultsThe percentage of radiologists involved in teaching increased from 13.6% (2008) to 20.4% (2020). Among teaching radiologists, mean total workload increased 7% from 2008 to 2019 and decreased in 2020 to 2% below 2008’s level; mean teaching workload decreased 19% from 2008 to 2019 and decreased in 2020 to 31% below 2008’s level. Mean trainee participation in teaching radiologists’ total workload decreased from 35.3% (2008) to 26.3% (2019) and 24.5% (2020). Teaching radiologists showed decreased mean trainee participation when stratified by gender, experience, subspecialty, geography, practice type, and practice size. ConclusionsThe percentage of US radiologists involved in resident teaching has increased, likely reflecting academic practice expansion and academic-community practice consolidation. However, a declining percentage of teaching radiologists’ total workload involves trainees; this dispersion effect could have implications for education quality.

Hospital‐physician integration and Medicare spending: Evidence from stable angina

AbstractObjectiveTo examine the association between hospital‐cardiologist integration and Medicare spending for stable angina patients.Data Sources and Study SettingThis study used Medicare Standard Analytic Files from 2013 to 2020 and the Centers for Medicare and Medicaid Services National Downloadable File for accompanying physician data.Study DesignThis was a retrospective cohort study of Medicare beneficiaries with a new diagnosis of stable angina between 2013 and 2020.Data Collection/Extraction MethodsPatients with a new diagnosis of stable angina were categorized by whether they received care from an independent or a hospital‐integrated cardiologist.Principal FindingsTotal spending for this sample was high: an average of $103,946 per patient over 12 months. Adjusted for covariates, patients of integrated cardiologists did not spend significantly more or less than clinically comparable patients of independent cardiologists (−$3856, 95% CI: −$8631 to 920, p = 0.11). This was true for overall inpatient (−$2622, 95% CI: −6069 to 825, p = 0.14) and outpatient (−1162, 95% CI: −$3510 to 1185, p = 0.33) spending as well as cardiology‐specific inpatient and outpatient spending. Among high‐risk patients, overall spending between the integrated and independent groups was comparable, though patients of integrated cardiologists incurred lower spending than those of their independent counterparts in inpatient care (−$13,589; 95% CI: −24,432 to −2746, p = 0.01). In a supplemental analysis, findings suggested that site‐neutral payments would have resulted in lower spending among patients of integrated physicians.ConclusionsSpecific clinical settings may lend themselves to efficiencies created by integration for certain complex patients, though we do not test a causal mechanism here. Adoption of site‐neutral payment policy may also lead to lower spending among patients of integrated physicians.What is known on this topic Hospital‐physician integration has increased significantly in the United States. Policymakers and health policy experts have expressed concerns that hospital‐physician integration leads to increased health spending and may threaten healthcare affordability. While some studies link integration to greater spending, many use incomplete measures of spending, do not consider the potential benefits of care coordination, or rely on outdated data. What this study adds Spending among patients with stable angina, a common cardiovascular condition, was nearly equal, on average, across patients of integrated and independent cardiologists. Inpatient spending on high‐risk patients was somewhat lower for those under the care of integrated cardiologists. Overall, patients of integrated cardiologists incurred largely comparable spending relative to patients of independent cardiologists, indicating that the impact of hospital‐physician integration may depend on the clinical context.

3-generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: An open-source catalog of findings.

The relatively few conditions and family member types (e.g., sibling, parent) considered in investigations of family health history in autism spectrum disorder (ASD, or autism) limits understanding of the role of family history in autism etiology. For more comprehensive understanding and hypothesis-generation, we produced an open-source catalog of autism associations with family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. All live births in Denmark, 1980-2012, of Denmark-born parents (1,697,231 births), and their 3-generation family members were followed through April 10, 2017 for each of 90 diagnoses (including autism), emigration or death. Adjusted hazard ratios (aHR) were estimated via Cox regression for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person; aHRs also calculated for sex-specific co-occurrence of each disorder. We obtained 6462 individual family history aHRS across autism overall (26,840 autistic persons; 1.6% of births), by sex, and considering intellectual disability (ID); and 350 individual co-occurrence aHRS. Results are cataloged in interactive heat maps and down-loadable data files: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries: https://public.tableau.com/app/profile/diana.schendel/viz/ASDPlots_16918786403110/e-Figure5. While primarily for reference material or use in other studies (e.g., meta-analyses), results revealed considerable breadth and variation in magnitude of familial health history associations with autism by type of condition, family member type, sex of the family member, side of the family, sex of the index person, and ID status, indicative of diverse genetic, familial, and nongenetic autism etiologic pathways. Careful attention to sources of autism likelihood in family health history, aided by our open data resource, may accelerate understanding of factors underlying neurodiversity.

A Diffusion Tensor Imaging White Matter Atlas of the Domestic Canine Brain

Abstract There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to permit comparative studies of brain pathology and function. To help facilitate these studies, we have created a detailed, MRI-based white matter atlas of the canine brain using diffusion tensor imaging. This technique, which relies on the movement properties of water, permits the creation of a three-dimensional diffusivity map of white matter brain regions that can be used to predict major axonal tracts. To generate an atlas of white matter tracts, thirty neurologically and clinically normal dogs underwent MRI imaging under anesthesia. High-resolution, three-dimensional T1-weighted sequences were collected and averaged to create a population average template. Diffusion weighted imaging sequences were collected and used to generate diffusivity maps, which were then registered to the T1-weighted template. Using these diffusivity maps, individual white matter tracts—including association, projection, commissural, brainstem, olfactory and cerebellar tracts—were identified with reference to previous canine brain atlas sources. To enable the use of this atlas, we created downloadable overlay files for each white matter tract identified using manual segmentation software. In addition, using diffusion tensor imaging tractography, we created tract files to delineate major projection pathways. This comprehensive white matter atlas serves as a standard reference to aid in the interpretation of quantitative changes in brain structure and function in clinical and research settings.

Leading medical schools for female neurosurgery graduates.

The authors sought to determine the medical schools with the highest number and proportion of female graduates currently practicing neurosurgery and to identify medical school characteristics that increase female representation in neurosurgery, with the goal of addressing the gender disparity. The authors used the Physician Compare National Downloadable File from the Centers for Medicare & Medicaid Services. Physicians indicating neurosurgery as their primary specialty were extracted. Duplicates, physicians with medical school education listed as "other," and those expected to be in residency, fellowship, or research years (graduation years 2014-2023) were removed. Medical schools with the highest number and proportion of female neurosurgery graduates were stratified. A review of the current literature was conducted to identify characteristics of the institutions with high female representation. A total of 3486 neurosurgeons (319 female [9.2%], 3167 male [90.8%]) were identified. Yale University (n = 12), Columbia University (n = 8), Johns Hopkins University (n = 8), Stanford University (n = 8), and the University of Maryland (n = 8) had the most female neurosurgery graduates. Schools with the highest proportion of female neurosurgery graduates included the University of California, San Diego (25%); the State University of New York Upstate Medical University (25%); Pennsylvania State University (22.2%); the University of Maryland (21.1%); and the University of Florida (18.4%). Achieving gender diversity in neurosurgery necessitates a multifaceted approach. Institutions with a higher number and proportion of female neurosurgery graduates emphasized female-female mentorship, fostered diversity initiatives, and implemented inclusive policies. To increase female representation in neurosurgery, it is crucial to establish robust mentorship programs that provide aspiring female neurosurgeons with the guidance, support, and motivation required to navigate a traditionally male-dominated field.

3-generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: an open-source catalogue of findings.

The relatively few conditions and family members investigated in autism family health history limits etiologic understanding. For more comprehensive understanding and hypothesis-generation we produced an open-source catalogue of autism associations with family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions. All live births in Denmark, 1980-2012, of Denmark-born parents (1,697,231 births), and their 3-generation family members were followed through April 10, 2017 for each of 90 diagnoses (including autism), emigration or death. Adjusted hazard ratios (aHR) were estimated via Cox regression for each diagnosis-family member type combination, adjusting for birth year, sex, birth weight, gestational age, parental ages at birth, and number of family member types of index person; aHRs also calculated for sex-specific co-occurrence of each disorder. We obtained 6,462 individual family history aHRS across autism overall (26,840 autistic persons; 1.6% of births), by sex, and considering intellectual disability (ID); and 350 individual co-occurrence aHRS. Results are catalogued in interactive heat maps and down-loadable data files: https://ncrr-au.shinyapps.io/asd-riskatlas/ and interactive graphic summaries: https://public.tableau.com/views/ASDPlots_16918786403110/e-Figure5. While primarily for reference material or use in other studies (e.g., meta-analyses), results revealed considerable breadth and variation in magnitude of familial health history associations with autism by type of condition, family member type, sex of the family member, side of the family, sex of the index person, and ID status, indicative of diverse genetic, familial, and non-genetic autism etiologic pathways. Careful attention to sources of autism likelihood in family health history, aided by our open data resource, may accelerate understanding of factors underlying neurodiversity.

AI-Powered Legal Documentation Assistant

The Legal Documentation Assistant offers a unique method to obtain legal rights, specializing in copyright, trademark, and banking using a combination of artificial intelligence (AI) technologies. Through the synergy of legal expertise and technological innovation, our dynamic website is designed to offer clients real-time assistance and guidance to help them efficiently navigate complex legal requirements. Our personalised bots provide tailored support and answer queries, ensuring clients receive the help they need. At the core of our platform is a combination of AI-powered chatbots designed to provide clients with real-time help and guidance. These bots provide personalized support, answer questions, explain legal concepts and guide customers through multiple procedures. In addition, our platform enables seamless file editing, allowing clients to customize legal templates to suit their needs. By sharing downloadable files in modern formats, we increase the convenience of people even as we sell legal requirements. Through the synergy of legal knowledge and technological innovation, our platform aims to democratize access to empower people and businesses to navigate the methods themselves. We believe that our method is an important step in bridging the gap between legal information and realistic applications.

Implementation of Personal Cloud using Cryptography

Abstract: This Python-based personal cloud application leverages Flask and cryptography to establish a secure file storage system. Employing the Fernet encryption algorithm, the server encrypts uploaded files, ensuring data confidentiality. Users can securely upload, store, and download files, with each file automatically encrypted upon upload and decrypted for download. While this example prioritizes simplicity, a production-ready system should include robust user authentication, access controls, and further security enhancements. The abstract encapsulates the project's essence, highlighting its focus on file security within a personal cloud environment while acknowledging the need for additional features in a real-world deployment.

PDB NextGen Archive: centralizing access to integrated annotations and enriched structural information by the Worldwide Protein Data Bank.

The Protein Data Bank (PDB) is the global repository for public-domain experimentally determined 3D biomolecular structural information. The archival nature of the PDB presents certain challenges pertaining to updating or adding associated annotations from trusted external biodata resources. While each Worldwide PDB (wwPDB) partner has made best efforts to provide up-to-date external annotations, accessing and integrating information from disparate wwPDB data centers can be an involved process. To address this issue, the wwPDB has established the PDB Next Generation (or NextGen) Archive, developed to centralize and streamline access to enriched structural annotations from wwPDB partners and trusted external sources. At present, the NextGen Archive provides mappings between experimentally determined 3D structures of proteins and UniProt amino acid sequences, domain annotations from Pfam, SCOP2 and CATH databases and intra-molecular connectivity information. Since launch, the PDB NextGen Archive has seen substantial user engagement with over 3.5 million data file downloads, ensuring researchers have access to accurate, up-to-date and easily accessible structural annotations. Database URL: http://www.wwpdb.org/ftp/pdb-nextgen-archive-site.

Matrix-based key to the click beetle genera of Canada and USA with a summary of habitat use (Coleoptera, Elateridae).

The Elateridae, or click beetles are abundant and diverse in most terrestrial ecosystems in North America, acting as plant pests and filling many other ecological roles. The 112 genera of Elateridae Leach, 1815, or click beetles, known from Canada and USA are included in a first comprehensive digital interactive key to adults. A link to an online peer-reviewed LUCID key to elaterid genera and downloadable LUCID files are provided. Diagnostic morphological summaries using information from the 61 characters and 158 character states of the matrix key are presented for all genera. A table summarizes current understanding of habitat use by all elaterid genera in Canada and USA from literature, collections, citizen science, and our own observations. Diversity of elaterid genera was high throughout warm and cool temperate regions, especially in mountainous areas and mesic woodlands. Larvae of most genera were associated with soil, litter and decaying wood.

The Decline of Small Practice in Colorectal Surgery: Practice Consolidation From 2015-2022

IntroductionPhysicians have gravitated toward larger group practice arrangements in recent years. However, consolidation trends in colorectal surgery have yet to be well described. Our objective was to assess current trends in practice consolidation within colorectal surgery and evaluate underlying demographic trends including age, gender, and geography. MethodsWe performed a retrospective cross-sectional study using the Center for Medicare Services National Downloadable File from 2015 to 2022. Colorectal surgeons were categorized by practice size and by region, gender, and age. ResultsFrom 2015 to 2022, the number of colorectal surgeons in the United States increased from 1369 to 1621 (+18.4%), while the practices with which they were affiliated remained relatively stable (693-721, +4.0%). The proportion of colorectal surgeons in groups of 1-2 members fell from 18.9% to 10.7%. Conversely, those in groups of 500+ members grew from 26.5% to 45.2% (linear trend P < 0.001). The midwest region demonstrated the highest degree of consolidation. Affiliations with group practices of 500+ members saw large increases from both female and male surgeons (+148.9% and +86.9%, respectively). New surgeons joining the field since 2015 overwhelmingly practice in larger groups (5.3% in groups of 1-2, 50.1% in groups of 500+). ConclusionsColorectal surgeons are shifting toward larger practice affiliations. Although this change is happening across all demographic groups, it appears unevenly distributed across geography, gender, and age. New surgeons are preferentially joining large group practices.

AdmetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties.

Absorption, distribution, metabolism, excretion and toxicity (ADMET) properties play a crucial role in drug discovery and chemical safety assessment. Built on the achievements of admetSAR and its successor, admetSAR2.0, this paper introduced the new version of the series, admetSAR3.0, as a comprehensive platform for chemical ADMET assessment, including search, prediction and optimization modules. In the search module, admetSAR3.0 hosted over 370000 high-quality experimental ADMET data for 104652 unique compounds, and supplemented chemical structure similarity search function to facilitate read-across. In the prediction module, we introduced comprehensive ADMET endpoints and two new sections for environmental and cosmetic risk assessments, empowering admetSAR3.0 to provide prediction for 119 endpoints, more than double numbers compared to the previous version. Furthermore, the advanced multi-task graph neural network framework offered robust and reliable support for ADMET prediction. In particular, a module named ADMETopt was added to automatically optimize the ADMET properties of query molecules through transformation rules or scaffold hopping. Finally, admetSAR3.0 provides user-friendly interfaces for multiple types of input data, such as SMILES string, chemical structure and batch molecule file, and supports various output types, including digital, chart displays and file downloads. In summary, admetSAR3.0 is anticipated to be a valuable and powerful tool in drug discovery and chemical safety assessment at http://lmmd.ecust.edu.cn/admetsar3/.

Abstract 7420: Optimizing proteomic data access and analysis in the cloud: Leveraging Terra's integration with the Proteomic Data Commons

Abstract The Proteomic Data Commons (PDC) hosts cancer proteomics data with the goal of making this data available to the public to support development of cancer diagnostics, treatment, and progression tracking. As a part of the Cancer Research Data Commons (CRDC), the Terra platform provides a cloud workbench for the PDC data. FireCloud is a Broad Institute project funded by NCI to empower cancer researchers to access data, run analysis tools and collaborate securely in the cloud. It is powered by Terra, a secure, scalable cloud-native platform developed by the Broad Institute, Microsoft, and Verily, an Alphabet company. It provides batch workflow execution, interactive analysis including data visualization, and ~2,900 publicly available tools with the ability to import more tools from Dockstore. The integration of PDC and Terra enables researchers to leverage the data navigation and file-level search capabilities on the PDC web browser (pdc.cancer.gov) and export selected data manifests to a Terra workspace. This integrated hand-off specifically allows metadata and cloud links to PDC data in Portable Format for Bioinformatics (PFB) to be transferred to Terra and used in analysis with cloud resources. A featured workspace for Terra-PDC integration includes tools for (i) downloading data files and relevant additional metadata; (ii) organizing the data and metadata for running the FragPipe workflow, a comprehensive collection of tools for reading and processing raw Mass Spec (MS) data; and (iii) implementing a pre-configured FragPipe workflow to process isobarically labeled MS data from Tandem Mass Tag (TMT) or Isobaric tags for relative and absolute quantitation (iTRAQ) experiments using information automatically imported from PDC via the PFB import. The pipelines can also be customized as needed to process any type of raw MS data the PDC supports. In addition, Terra connects to the NCI Genomic Data Commons (GDC) and hosts The Cancer Genome Atlas (TCGA) and Therapeutically Applicable Research to Generate Effective Treatments (TARGET) datasets allowing users to pull in other data types for co-analysis. As a whole, using the CRDC cloud resources, in conjunction with Terra, allows analysis of data on a massive scale, enabling multi-omic integration spanning the genomic and proteomic commons data, with easy sharing of data and tools. Citation Format: Emily LaPlante, Bingxing Huo, DR Mani, Ratna R. Thangudu. Optimizing proteomic data access and analysis in the cloud: Leveraging Terra's integration with the Proteomic Data Commons [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7420.

Dual Pathways of Value Creation from Digital Strategic Posture: Contingent Effects of Competitive Actions and Environmental Uncertainty

Dual Pathways of Value Creation from Digital Strategic Posture: Contingent Effects of Competitive Actions and Environmental Uncertainty IN STOCK SKU 48.1.15 Publication History Received: October 9, 2019 Revised: December 20, 2020; February 23, 2022; November 7, 2022; June 7, 2023 Accepted: August 3, 2023 Published Online in Issue: March 1, 2024 https://doi.org/ Downloadable File Article PDF $15.00 Add to Cart Abstract Digital strategic posture (DSP) is defined as a firm’s overall strategic stance toward investing in information technology (IT) initiatives relative to that of rival firms. This study examines how a firm’s DSP affects firm performance. Drawing on the competitive dynamics perspective and contingency view, we demonstrate that DSP influences competitive actions through dual pathways. First, DSP enables firms to take competitive actions that are more appropriate given the level of environmental uncertainty (captured by industry dynamism). In particular, our findings suggest that a proactive DSP enables relatively more innovation-oriented actions in dynamic industries while enabling relatively more operations-oriented actions in less dynamic industries. Second, DSP plays a facilitating role in firms’ execution of competitive actions such that a firm’s value from its proactive DSP is enhanced when there is a fit between the type of the firm’s competitive actions and its level of environmental uncertainty. Specifically, we find that firms with a more proactive DSP achieve superior firm performance from innovation-oriented actions in dynamic industries and from operations-oriented actions in less dynamic industries. Taken together, our findings suggest that a proactive DSP not only allows firms to take appropriate competitive actions that fit their environmental conditions but also contributes to firms’ performance by facilitating the execution of these appropriate actions, thus enhancing their efficacy. Additional Details Author , , , and Year 2024 Volume 48 Issue 1 Keywords Digital strategic posture, competitive actions, innovation-oriented actions, operations-oriented actions, competitive dynamics, contingency view, business value of IT, IT strategy, industry dynamism Page Numbers 409-426

Key Enabling-Technologies of 4G and 5G Network

This paper provides a comprehensive overview of Multiple Input Multiple Output (MIMO) technology and its pivotal role in enhancing 4G (LTE) networks. MIMO technology, characterized by the use of multiple antennas at both the transmitter and receiver, enables significant improvements in data rates, coverage, and spectral efficiency. The key functionalities of MIMO technology in 4G LTE networks are elucidated, including spatial multiplexing, improved signal quality through spatial diversity, increased coverage via transmit diversity, and enhanced spectral efficiency. MIMO technology enables increased throughput and supports bandwidth-intensive applications like file downloads and video streaming by broadcasting many data streams simultaneously over the same frequency range. Furthermore, the adaptive nature of MIMO systems is discussed, highlighting their ability to dynamically adjust antenna configurations and employ adaptive beam forming techniques. These features optimize performance in real-time, maximizing signal strength, reducing interference, and enhancing overall network reliability. In summary, this paper underscores the critical importance of MIMO technology in 4G LTE networks, showcasing its ability to deliver high-speed broadband services, improve coverage in challenging environments, and efficiently utilize the available spectrum. As the backbone of modern mobile communications, MIMO-enabled 4G networks provide users with seamless connectivity and support the growing demand for data-intensive applications

Compliance With Federal Price Transparency Rules and Cost Estimation at United States Hospitals With Neurosurgical Training Programs.

The Centers for Medicare & Medicaid Services implemented federal requirements on January 1, 2021, under the Public Health Service Act that require hospitals to provide a list of payer-negotiated prices or "standard charges" in a machine-readable file and in a patient-friendly online estimator for standard services. We sought to assess compliance by United States hospitals associated with neurosurgical training programs with these federal requirements for 11 common neurosurgical procedures. We performed a cross-sectional analysis in March 2023 of 116 United States hospitals associated with a neurosurgical training program to assess compliance with the new federal requirements to have a machine-readable, downloadable file with standard charges and a patient-friendly online estimator for two spinal procedures. A total of 110/114 (96.5%) hospitals were compliant with the requirement for a machine-readable file with payer-negotiated prices. A total of 47/110 hospitals (42.7%) were compliant with downloadable machine-readable files and reported at least one payer-negotiated price for 1 of the 11 common neurosurgical procedures. A total of 45/110 (40.9%) used bundled Diagnosis-Related Group codes, and 18/110 (16.4%) did not contain any price information for neurosurgical procedures. For neurosurgical procedures, the percent difference between the average negotiated private insurance and Medicare price per procedure ranged from 17.5% to 77.6%. Medicare and private insurance data for each procedure were available on average for 10.3 states (SD = 3.8) and 15.6 states (SD = 4.8), respectively. While hospital compliance with federal requirements for machine-readable files with payer-negotiated prices was high, availability of payer-negotiated prices for 4 major insurance types across 11 common neurosurgical procedures based on Current Procedural Terminology codes was sparce. Consequently, meaningful conclusions on procedure-related charges for elective procedures are difficult for patients to make because of the unintelligible format of data and a lack of reporting of charges per Current Procedural Terminology code in a comprehensive manner.

PyExoCross: a Python program for generating spectra and cross-sections from molecular line lists

Abstract PyExoCross is a Python adaptation of the ExoCross Fortran application, PyExoCross is designed for post-processing the huge molecular line lists generated by the ExoMol project and other similar initiatives such as the HITRAN and HITEMP data bases. PyExoCross generates absorption and emission stick spectra, cross-sections, and other properties (partition functions, specific heats, cooling functions, lifetimes, and oscillator strengths) based on molecular line lists. PyExoCross calculates cross-sections with four line profiles: Doppler, Gaussian, Lorentzian, and Voigt profiles in both sampling and binned methods; a number of options are available for computing Voigt profiles which we test for speed and accuracy. PyExoCross supports importing and exporting line lists in the ExoMol and HITRAN/HITEMP formats. PyExoCross also provides conversion between the ExoMol and HITRAN data formats. In addition, PyExoCross has extra code for users to automate the batch download of line list files from the ExoMol data base.

Assessment of the gender gap in urology industry payments: An Open Payments Program data analysis.

The Open Payments Program (OPP), established in 2013 under the Sunshine Act, mandated medical device and pharmaceutical manufacturers to submit records of financial incentives given to physicians for public availability. The study aims to characterize the gap in real general and real research payments between man and woman urologists. The study sample included all urologists in the United States who received at least one general or research payment in the OPP database from 2015 to 2021. Recipients were identified using the National Provider Identifier and National Downloadable File datasets. Payments were analyzed by geography, year, payment type, and years since graduation. Multivariable analysis on odds of being in above the median in terms of money received was done with gender as a covariate. This analysis was also completed for all academic urologists. There was a total of 15,980 urologists; 13.6% were woman, and 86.4% were man. Compared to man urologists, woman urologists were less likely to be in the top half of total payments received (odds ratio [OR] 0.62) when adjusted for other variables. When looking at academic urologists, 18.1% were woman and 81.9% were man. However, woman academic urologists were even less likely to be in the top 50% of payments received (OR 0.55). This study is the first to characterize the difference in industry payments between man and woman urologists. The results should be utilized to educate physicians and industry, in order to achieve equitable engagement and funding for woman urologists.

Informal downloading of copyrighted content in the perception of contemporary youth

The informal circulation of copyrighted content has been observed for a long time, but only the development of new technologies and widespread access to the Internet have contributed to the evolution of this phenomenon on a global scale. The aim of the research was to learn the opinions of contemporary youth regarding both the reasons for downloading copyrighted content and the extent of this phenomenon. The article presents the results of research on the attitude of contemporary youth towards issues related to the informal content sharing on the Internet, which is an integral part of young people’s online life and is rarely considered in terms of theft and law violation. The research results confirm that informal downloading of files and programmes, despite the fact that it is a very common phenomenon in our society, is not subject to clear assessments from social, economic, and even legal perspective. The article also draws attention to the inadequacy of the current copyright law to rapidly evolving digital technologies and changing ways of consuming cultural content.

6G – NETWORK OF THE FUTURE

&amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; line-height: 150%;&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt; line-height: 150%; font-family: 'Times New Roman',serif;&amp;quot;&amp;gt;6G stands for the sixth generation of mobile networks, which represents the future of wireless communication. While 5G networks are still being developed and expanded around the world, the industry is already thinking about the next generation to meet the needs of the accelerated digital transformation and the demands of modern society. 6G networks will be even faster, more reliable, with lower latency and higher capacity than their predecessors. It is expected to deliver incredible data transfer speeds of terabytes per second, enabling instant downloads of large files and supporting technologies such as virtual and augmented reality, artificial intelligence, autonomous vehicles, Internet of Things (IoT) devices and other advanced applications.. One key features of 6G networks will be greater connectivity between people, machines and things, creating an intelligent network that will enable highly sophisticated communication scenarios. 6G networks are expected to provide the possibility of continuous connectivity with high quality of service, even in difficult environments such as rural areas, inside buildings or in motion. 6G networks will use multiple frequency bands, including terahertz frequencies, which will allow for greater capacity and higher data transfer speeds. It will also require advanced use of antenna systems, such as massive multiplexed antennas (Massive MIMO), in order to achieve a high degree of wireless efficiency. However, it is important to note that the 6G network is still in the research and development phase. Standardization and commercial implementation are expected only after 2030. Industry,&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt; &amp;lt;p class=&amp;quot;MsoNormal&amp;quot; style=&amp;quot;text-align: justify; line-height: normal;&amp;quot;&amp;gt;&amp;lt;strong&amp;gt;&amp;lt;i&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt; font-family: 'Times New Roman',serif;&amp;quot;&amp;gt;Keywords&amp;lt;/span&amp;gt;&amp;lt;/i&amp;gt;&amp;lt;/strong&amp;gt;&amp;lt;i&amp;gt;&amp;lt;span style=&amp;quot;font-size: 12.0pt; font-family: 'Times New Roman',serif;&amp;quot;&amp;gt;: 6G, networks, future, IoT, transfer, industry, standardization&amp;lt;/span&amp;gt;&amp;lt;/i&amp;gt;&amp;lt;/p&amp;gt;