Digital Expert System Research Articles

Scoping review: Technology‐based nursing interventions for urinary incontinence for individuals 65 years and older

AbstractTo review and summarize the available evidence on technology‐based nursing interventions for urinary incontinence. Scoping review. A review of english and German research articles published up to April 2024 examining nursing interventions in older people (> = 65 years) was conducted. Studies were retrieved by searching the Medline electronic database via PubMed and CINAHL database. Eight studies met the inclusion criteria. The review followed the updated methodological guidance for the conduct of scoping reviews published in 2020. Eight studies and three different types of interventions based on digital technologies were identified: sensor‐based interventions, app‐based interventions and computer‐based digital expert systems. The interventions showed positive and no effects. The studies showed a high variety in terms of study designs, settings, measurement instruments, measured outcomes and were consequently not comparable. The current research density is too low to recommend interventions. Therefore, more high‐quality studies are needed. Studies should be designed to be comparable, if possible. The definition of a core outcome set is therefore indicated. There is a research gap that should be closed by high‐quality and comparable studies so that patients can benefit from evidence‐based incontinence care in the future. Defining core outcomes can help to better compare future studies. Technology‐based interventions should be investigated specifically for older people in the future as, in addition to the potential for improved incontinence care, they also have the potential to reduce the burden on caregivers and conserve staff resources. No patient or public contribution.

APPLE AND PEAR SCAB ONTOLOGY

An important issue in horticulture is ensuring plant disease, such as scab, prevention and treatment. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area [1]) and economically important fruit crops specified worldwide and in Latvia. Scab diseases caused by ascomycetous fungi Venturia inaequalis and V.pyrina are economically the most important diseases worldwide. Research projects have produced research data covering various aspects of plant-pathogen interactions, but there is no internal linkage analysis, as well as implementation of other types of data (such as environmental and meteorological data, etc.). Establishing such a data integration system would allow the identification of new regularities in plant-pathogen interactions, and provide mechanisms for disease control decisions. Semantic analysis is one of information technology approaches to finding relationships in data. The product of analysis is ontology. There are plant disease ontologies which provide classification of diseases and describe their reasons. However, there is no ontology which describes a specific plant and relations among its farming parameters and disease probability. Such an ontology for apple and pear scab is presented in this paper. The constructed ontology can be applied to develop guidelines or digital expert systems.

Digital Systems in Medical Science and Modern Dentistry

Digital expert systems, commonly used in medicine, can be implemented successfully in the analysis and planning of treatments in dentistry. In implant-prosthetic therapy, these software applications epresent necessary adjuvant tools in optimizing therapeutic decisions regarding the pro-implant and implant stages as well as in creating a therapeutic planning algorithm. PRODENT Acad Expert (data recording and database) and PRODENT Indices (calculation of biological indices and recommendation for the optimal treatment solution) (Neo-Tech, Romania) are tools that allows the registration and entry of data in the database, registration of clinical and biological indices in pretreatment and post-implant stage, respectively the recommendation of an optimal prosthetic solution. The use of this application is necessary in monitoring changes related to the biological components of the stomatognathic system in postimplant stage. Expert applications for the assessment of mucosal and bone support, planning of bone addition procedures and positioning of dental implants laid the foundations of digital implantology (Implant 3D, Universe; NobleGuide, Nobel Biocare; Digital Smile Design, DSD; SimPlant, Dental Materialize; Virtual Implant Placement, BioHorizons; ImplantMaster, iDent; Implant 3D, Media Lab; EasyGuide, Keystone Dental). The Digital Smile Design favors the planning of prosthetic therapy and the design of the future prosthetic work in accordance with the aesthetic principles and the requirements of the patients, based on a motivational mock-up. Literature data demonstrate the increase in the long-term success rate in digital-assisted implant-prosthetic therapy and justify the widespread expansion of the use of digital applications in current contemporary dental practice.

Self-learning Expert Systems in Textile Technology: Development of a Socio-Technical Approach

Digital learning factories prepare a showcase to demonstrate the utilization of new digital technologies in production. The production of technical and domestic textiles in European countries requires a lean and error free approach in order to maintain competency against production in low wage countries. Digital expert systems can support setting and troubleshooting processes in a textile production. A procedure model for the introduction of a self-learning expert system (SES) based on AI developed and validated in a socio-technical approach will be introduced in this article. The introduction of the SES can be practiced in the model textile production line in DCC of ITA Group in Aachen, Germany. The procedure model considers all required social and technical components in a textile production. The development and design processes take place in cooperation with all relevant groups of actors like employees and managers. Its technical core is a process model which in a first step enables companies to identify the most important quality-relevant defects and the process input variables that cause them. A SES suitable for the company will then be introduced in order to support the employees in setting the process input variables, thus avoiding defects and simplifying their elimination by suggesting most relevant causes. The procedure model still contains approaches for the iterative-participative development of the SES in order to ensure acceptance by the production employees.

Studying of Digital Agricultural Expert System based on Internet

Under the background of information, it is introduced that new type digital agriculture expert system was accomplished through integrating 3S technique, network and agriculture expert system. The structure of system base on B/S framework. Then the deign and implement of project is dicussed. At last an instance run in GanSu province, illuminates the system applic ation.