Children with severe physical disabilities often require a range of technological devices to aid them with the fundamental tasks carried out in everyday life. These tasks areas may include mobility, communication, environment control and computer access for education. The most efficient, and often the most cost-effective, way of providing for these requirements is by the provision of a single, integrated system tailored to the individual's needs and abilities. BASIS, the Barnsley And Sheffield Integrated System, is an integrated control system based on a wheelchair-mounted personal computer (PC) and currently implements the following modules: wheelchair control; a spoken communication package; control of home equipment via infra-red; and a facility to run third-party software. The system presents a consistent and uniform environment to the user for selection and activation of these modules and can be controlled by one to four switches (scanning or directed access), a touch screen, a head pointer or a mouse. Safety considerations have played a central part in the design of the system. BASIS can be tailored to the user's requirements by editing a text file in software and by connecting the appropriate hardware modules to the serial and parallel ports. The graphical user interface has been designed for use by children and employs pictorial representation (icons) of available functions on a colour screen. These icons can be chosen from clip-art or drawn on computer drawing package. It is also possible to scan in and utilize drawings or photographs.(ABSTRACT TRUNCATED AT 250 WORDS)
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http://dx.doi.org/10.1016/1350-4533(94)90043-4 | DOI Listing |
Clin Cancer Res
January 2025
The University of Texas MD Anderson Cancer Center, Houston, Texas, United States.
Purpose: Renal medullary carcinoma (RMC) is a highly aggressive malignancy defined by the loss of the SMARCB1 tumor suppressor. It mainly affects young individuals of African descent with sickle cell trait, and it is resistant to conventional therapies used for other renal cell carcinomas. This study aimed to identify potential biomarkers for early detection and disease monitoring of RMC.
View Article and Find Full Text PDFArch Pathol Lab Med
January 2025
the Department of Pathology, The Ohio State University, Columbus (Parwani).
Context.—: Generative artificial intelligence (AI) has emerged as a transformative force in various fields, including anatomic pathology, where it offers the potential to significantly enhance diagnostic accuracy, workflow efficiency, and research capabilities.
Objective.
Hepatol Int
January 2025
National Clinical Research Center for Digestive Disease, State Key Lab of Digestive Health, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Background: Our previous research demonstrated that growth differentiation factor 15 (GDF15) exhibited superior predictive capability for metabolic dysfunction-associated steatohepatitis (MASH) development with an AUC of 0.86 at 10 years before disease diagnosis. However, the specific pathways and molecular mechanisms associated with GDF15 expression during MASH development remain to be fully investigated in humans.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
January 2025
Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, Shanghai, China.
Purpose: This study evaluated the differences in amyloid-β (Aβ), tau deposition, and longitudinal tau deposition between subjective cognitive decline (SCD) and objective subtle cognitive difficulties (Obj-SCD).
Methods: Participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort (n = 234) and the Huashan cohort (n = 267) included individuals with Obj-SCD, SCD, subjective memory concern (SMC), and healthy controls (HC). General linear models (GLM) were used to compare baseline and longitudinal differences in Aβ and tau among the groups, and to examine the associations between these biomarkers.
Anal Chem
January 2025
Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
Developing ambient ionization methods for direct mass spectrometry (MS) analysis is crucial for achieving sample-to-answer capabilities, especially for rapid analysis and monitoring in specific scenarios. Herein, a compact device is presented that utilizes mesh-collision microtube plasma (MC-μTP) ionization for direct online MS analysis. This device features a self-aspirating design that enables the direct analysis of various sample types.
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