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Performance of evaluation of computed tomography scanners using a phantom model.

A phantom was designed to test computed tomography (CT) scanner performance relative to spatial resolution, contrast resolution, field uniformity, spatial linearity, artifact resistance, and radiation dose. Translate/rotate, stationary detector with rotating x-ray tube, and rotate-only scanners were tested under conditions that produced the best possible results for each machine within the dose ranges used in clinical practice. Machines can be ranked according to results for each parameters tested. The range of performance exhibited on machines tested was unrelated to class of scanner. Further, machine dedication to a particular body region did not necessarily secure superior results for that region. Spatial resolution at low contrast levels (poor on most machines) seems to be the most sensitive test of performance.

Humans

Lifetime covered earnings and quarters of coverage of retired and disabled workers, 1972.

This article presents information on the lifetime covered earnings of retired-worker and disabled worker beneficiaries under OASDHI, the year of their first earnings credits, their quarters of coverage, and the relationship of these factors to 1972 benefit levels. Among both groups, relatively more women began earning credits after 1940; they also worked fewer years in covered employment and had lower lifetime earnings overall. Their benefits were thus smaller than those of men. White men tended to have higher lifetime covered earnings than did black and other men, but the latter sometimes had lifetime earnings that exceeded those of white women with equal quarters of coverage. Black women and those of other minority races tended to have the lowest lifetime covered earnings. Both retired and disabled workers whose covered employment began after 1950 were likely to have benefits as high or higher than the benefits of those with earlier credits--a reflection of rising wage levels and higher taxable maximums, as well as the "new start" computation method. as well as the "new start" computation method.

Adult

Transmission computed tomography, Tc-99m MAA scintigraphy, and plain chest radiography after experimentally produced acute pulmonary arterial occulusion in the dog.

We have occluded segmental and subsegmental pulmonary arteries in the dog with Swan-Ganz balloon catheters or i.v. injection of autologous clot, and have studied the chest with transmission computed tomography (TCT), Tc-99m-MAA gamma imaging, and plain radiographs. The arterial occlusions were between 1 and 5 hr old at the time of imaging. Radiographs revealed no lesions. Tc-99m MAA scanns revealed ten of 11 lesions. When a TCT image was made before i.v. injection of Renografin-60, two of 11 lesions were identified; after Renografin the score was four out of ten. The appearance of lesions on TCT was highly variable. Tc-99m-MAA gamma imaging, therefore, is far more accurate than TCT in the identification of small experimentally produced acute pulmonary arterial occlusions in the dog, and our study fails to suggest a secure place for TCT in the diagnosis of small, acute human pulmonary emboli. The commonly-held assumption that postembolic lung is oligemic is questioned.

Animals

Hormone priming and metabolic engineering of phytohormone crosstalk in rice under combined biotic and abiotic stresses: a multi-omics perspective for climate-resilient crop development.

Rice (Oryza sativa L.) is the caloric backbone for more than half of humanity, yet it remains one of the most vulnerable crops to the simultaneous biotic and abiotic stresses exacerbated by climate change. Phytohormone priming and the complex crosstalk networks governed by transcription factor hubs like WRKY, MYB, and NAC serve as the central adaptive mechanism for stress resilience. This review synthesizes how multi-omics integration, including spatial and single-cell transcriptomics, is resolving the molecular architecture of hormonal priming and epigenetic stress memory. We critically evaluate advanced metabolic engineering and genome-editing strategies such as CRISPR-Cas9, base/prime editing, and synthetic gene circuits that enable precision modifications to decouple stress tolerance from historical yield penalties. Furthermore, we discuss the emerging roles of microbiome-assisted priming via synthetic consortia and the application of artificial intelligence and digital twins (continuously updated computational models of crop physiology) for predictive stress management. By integrating these diverse technological pillars, we propose a systems-level roadmap for developing climate-resilient rice cultivars capable of maintaining yield stability across a volatile combinatorial stress landscape. This synthesis provides a framework for translating mechanistic hormonal insights into field-applicable cultivars to ensure global food security.

CRISPR

Regional geochemical mapping.

One of the prime requirements for effective study of environmental geochemistry in relation to health is the production of multi-element atlases showing the distribution of the elements on the regional scale. The choice of method for compiling such atlases can vary according to a number of geological, environmental and other factors. The overriding consideration, however, is to assist (in conjunction with other relevant sources of information) in defining, quickly and cheaply, potential problem areas wherein to concentrate more detailed studies to ensure maximum return from the funds and scientific manpower available. Numerous sampling and analytical techniques have been employed. Each technique and approach has its own scope, limitation and problems of interpretation. Whatever method is chosen, the use of computer-based statistical data reduction, analysis and map compilation is mandatory. Although it was apparent more than 20 years ago that geochemical atlases would eventually become a national cartographic requirement, regional geochemical mapping is still in the experimental stage. This trend is now evident in activity in a number of countries. The methods being employed, however, are so diverse that there is an urgent need for international collaboration aimed at securing data that are as mutually compatible as possible, having regard to the conditions, needs and resources of the individual countries involved.

Cobalt

The bilateral isodense subdural hematoma on computerized tomographic scan.

Blood causes striking changes on computerized tomography. However, chronic subdural hematomas may become isodense with brain and therefore not visible directly. Midline and ventricular displacement, effacement of cortical sulci, narrowing of white matter on one side, and ventricular distortion should suggest a unilateral isodense process. Bilateral isodense subdural hematomas pose a major problem on computerized tomography since there are no indications of a mass lesion. A negative report could lull the clinician into a false sense of security. In these cases, general disappearance of sulci and considerable narrowing of ventricles are helpful findings. A particularly important and overlooked sign is an abnormally decreased bicaudate cerebroventricular index. Above all, a high degree of suspicion is vital.

Aged

Word-processing equipment for hospital pharmacy applications.

Experiences with the use of three word-processing machines in the pharmacy departments of two hospitals are reported. Criteria used in evaluating the equipment included keyboard design, disc storage capabilities, software practicality, print format options and security of data. The applications studied were label production, storage of personnel information, scheduling of repetitive tasks, and composition of drug bulletins and procedure manuals. The Wang System 10A was the least useful. The Lanier LTE-2S required the shortest training period for routine tasks. The IBM System 6/442 was the most flexible. Word-processing equipment may be used effectively in the hospital pharmacy department to handle time-consuming, repetitive tasks.

Computers

Data security in information systems by language analysis.

The paper describes how a language analyser (parser) is used as interface between a user and the functions of an information system. A specific user is at log-on forced into a sublanguage analyser, which only recognizes statements relevant to this specific user. Every attempt to use non-allowed functions is rejected, and the user is guided into his sublanguage. The language analyser is defined completely separately from the semantics of the information system, and it can be automatically generated outgoing from a definition of language functions.

Computers

Advances in diagnostic radiology: problems and prospects.

The advances in diagnostic radiology are summarized under the headings of new techniques, new procedures and new programs. The most dramatic progress has occurred in the field of imaging technology, where computerized tomography (CT) has revolutionized the approach to brain imaging. Less obvious and secure is the position of body CT imaging, partly a result of technological deficiencies but also, as a result of imaging potential. Improved image amplification and angiographic techniques have made possible interventional radiographic procedures that hold great promise for the future. Radiologists with an interest in diagnostic oncology must play a dominant role in helping guide these new advances and direct the more appropriate application of conventional radiographic techniques in the diagnosis and followup of neoplastic diseases.

Brain Neoplasms

Application of Omics Technologies for Cowpea Improvement.

Cowpea (Vigna unguiculata) is a vital crop for food security, nutrition, and climate resilience in sub-Saharan African and other semi-arid regions. However, its improvement is constrained by the complexity of polygenic traits such as drought tolerance, pest resistance, and seed quality. Conventional breeding, while foundational, remains insufficient to address these challenges at the required pace. Recent advances in multi-omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, provide new opportunities to dissect complex traits, identify candidate genes, and accelerate the development of resilient, high-yielding cultivars. This review presents a critical synthesis of current applications of omics technologies in cowpea improvement, highlighting their contributions to stress adaptation, nutritional enhancement, and precision breeding. The review also examines key technical and institutional constraints limiting the adoption of omics-assisted breeding in cowpea, including inadequate research infrastructure, challenges in multi-omics data integration, and limited technical capacity across breeding programs in sub-Saharan Africa. It discusses strategies to address these barriers through regional collaboration, investment in bioinformatics capacity, and the integration of computational approaches into breeding pipelines. Overall, the review concludes that combining multi-omics technologies with artificial intelligence and machine learning has strong potential to improve genotype-phenotype prediction, accelerate breeding decisions, and support the development of climate-resilient and nutritionally enhanced cowpea cultivars.

cowpea

Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review.

BACKGROUND: Rehabilomics, or the integration of rehabilitation with genomics, proteomics, metabolomics, and other "-omics" fields, aims to promote personalized approaches to rehabilitation care. Cloud-based rehabilitation offers streamlined patient data management and sharing and could potentially play a significant role in advancing rehabilomics research. This study explored the current status and potential benefits of implementing rehabilomics strategies through cloud-based rehabilitation. OBJECTIVE: This scoping review aimed to investigate the implementation of rehabilomics strategies through cloud-based rehabilitation and summarize the current state of knowledge within the research domain. This analysis aims to understand the impact of cloud platforms on the field of rehabilomics and provide insights into future research directions. METHODS: In this scoping review, we systematically searched major academic databases, including CINAHL, Embase, Google Scholar, PubMed, MEDLINE, ScienceDirect, Scopus, and Web of Science to identify relevant studies and apply predefined inclusion criteria to select appropriate studies. Subsequently, we analyzed 28 selected papers to identify trends and insights regarding cloud-based rehabilitation and rehabilomics within this study's landscape. RESULTS: This study reports the various applications and outcomes of implementing rehabilomics strategies through cloud-based rehabilitation. In particular, a comprehensive analysis was conducted on 28 studies, including 16 (57%) focused on personalized rehabilitation and 12 (43%) on data security and privacy. The distribution of articles among the 28 studies based on specific keywords included 3 (11%) on the cloud, 4 (14%) on platforms, 4 (14%) on hospitals and rehabilitation centers, 5 (18%) on telehealth, 5 (18%) on home and community, and 7 (25%) on disease and disability. Cloud platforms offer new possibilities for data sharing and collaboration in rehabilomics research, underpinning a patient-centered approach and enhancing the development of personalized therapeutic strategies. CONCLUSIONS: This scoping review highlights the potential significance of cloud-based rehabilomics strategies in the field of rehabilitation. The use of cloud platforms is expected to strengthen patient-centered data management and collaboration, contributing to the advancement of innovative strategies and therapeutic developments in rehabilomics.

Cloud Computing

SeqUIaSCOPE: multi-omics data integration platform for single-patient clinical oncology pathway exploration.

SUMMARY: SeqUIaSCOPE is an open-source platform designed for routine clinical oncology diagnostics through case-centric integration and visualization of genomic variants, fusion events, and expression profiles. The platform combines molecular-level validation via embedded genome browsing with systems-level interpretation through dynamic pathway visualization, enabling geneticists to assess how alterations converge across biological networks. Flexible reporting with customizable templates accommodates diverse institutional requirements, while secure cluster-based or local deployment ensures compliance with data protection policies, making advanced multi-omics diagnostics accessible to academic and clinical institutions. AVAILABILITY AND IMPLEMENTATION: SeqUIaSCOPE is freely available on GitHub at https://github.com/BioIT-CEITEC/sequiascope under the MIT license and archived at Zenodo (https://zenodo.org/records/21338445). Due to the sensitive nature of patient data, the repository provides simulated datasets that mimic the structure of real clinical data for testing and exploration. Documentation and a live demo accompany these datasets, allowing users to explore the application without any prior setup. The repository also includes a Helm chart for Kubernetes deployment and Docker containers for local deployment, ensuring compatibility across Linux, macOS, and Windows. No user registration is required, and all data remains on local or institutional infrastructure.

Humans

In silico encounters: harnessing metabolic modelling to understand plant-microbe interactions.

Understanding plant-microbe interactions is vital for developing sustainable agricultural practices and mitigating the consequences of climate change on food security. Plant-microbe interactions can improve nutrient acquisition, reduce dependency on chemical fertilizers, affect plant health, growth, and yield, and impact plants' resistance to biotic and abiotic stresses. These interactions are largely driven by metabolic exchanges and can thus be understood through metabolic network modelling. Recent developments in genomics, metagenomics, phenotyping, and synthetic biology now enable researchers to harness the potential of metabolic modelling at the genome scale. Here, we review studies that utilize genome-scale metabolic modelling to study plant-microbe interactions in symbiotic, pathogenic, and microbial community systems. This review catalogues how metabolic modelling has advanced our understanding of the plant host and its associated microorganisms as a holobiont. We showcase how these models can contextualize heterogeneous datasets and serve as valuable tools to dissect and quantify underlying mechanisms. Finally, we consider studies that employ metabolic models as a testbed for in silico design of synthetic microbial communities with predefined traits. We conclude by discussing broader implications of the presented studies, future perspectives, and outstanding challenges.

Plants