Ask about this productRelated genes to: Syringe fixing strap
- Gene:
- STRAP NIH gene
- Name:
- serine/threonine kinase receptor associated protein
- Previous symbol:
- -
- Synonyms:
- UNRIP, pt-wd, MAWD
- Chromosome:
- 12p12.3
- Locus Type:
- gene with protein product
- Date approved:
- 2004-04-19
- Date modifiied:
- 2016-10-05
Related products to: Syringe fixing strap
Related articles to: Syringe fixing strap
- Shoe donning and doffing are a daily challenge for older adults and persons with conditions such as diabetes, stroke, arthritis, and Parkinson's disease, yet closure mechanisms have received little attention compared with sole design and slip resistance. This narrative review examines seven shoe closure technologies from the perspectives of mechanical performance and functional accessibility for persons with reduced mobility. - Source: PubMed
Publication date: 2026/05/24
Sangeeth Kumar GMarimuthu P - Solvent-targeted recovery and precipitation (STRAP) is a dissolution-based plastic recycling process that allows the selective recovery of polymers from mixed plastic waste, but removing the residual solvent from polymer gels remains a major challenge. In this study, we investigate factors affecting the residual solvent in gels during dissolution-based recycling. Experimental measurements show that the precipitation method, cooling rate, and extended filtration time do not have a significant effect on solvent retention. We investigated six variables (solvent vapor pressure, polymer molecular weight, initial polymer-to-solvent mass ratio, predicted solubility, the total Hansen solubility parameter, and the Flory-Huggins interaction parameter) that influence solvent retention. The six variables were used to build a support vector regression-based model to predict solvent retention and determine feature contribution for six polymers commonly used in recycling and nine solvents. Our analysis reveals that solvent vapor pressure is the most influential factor, followed by polymer molecular weight, while the Flory-Huggins interaction parameter has a weaker influence. The predictive framework established in this work provides a foundation for selecting polymer-solvent systems that minimize solvent retention in dissolution-based plastic recycling. - Source: PubMed
Publication date: 2026/05/02
Kim HedamAltamimi AliLoo Whitney SVan Lehn Reid CHuber George W - Despite the success of targeted therapies in rheumatoid arthritis, the lack of predictive biomarkers of response leads to an empirical treatment approach, often delaying effective intervention due to non-response to the initially selected individualized medication regimens in approximately 40% of patients. Cellular and molecular deconvolution of synovial tissue heterogeneity reveals discrete disease phenotypes, enabling disease stratification and response prediction. Recent advances in single-cell RNA sequencing and mass cytometry have defined more refined synovial molecular signatures and cell-type abundance phenotypes, uncovering novel pathogenic cellular subsets and inflammatory crosstalk networks. These insights hold profound implications for treatment response prediction and novel target development. While progress is notable, the field remains in its infancy. The integration of synovial multi-omics with multi-modal arrays of clinical data using artificial intelligence holds promise for developing clinically actionable algorithms. Accordingly, innovative pathology-informed clinical trials are likely to be increasingly adopted, paving the way toward more precise and individualized therapy within a precision medicine framework. - Source: PubMed
Publication date: 2026/05/21
Cheng YongjingLi KetianMa MuyunZhang XuanPitzalis Costantino - To characterize the association between head impact exposure and heart rate dynamics during varsity football games. - Source: PubMed
Publication date: 2026/05/06
Zafar AbdullahMartens GéraldineGuay SamuelVinet Sophie-AndréeWagnac EricCorbin-Berrigan Laurie-AnnPrince FrançoisPantazis JadenPrince SimonDe Beaumont Louis - Three-dimensional (3D) printing technologies are increasingly used to produce patient-specific orthoses. Traditional manufacturing methods, such as plaster casting, are fast to apply but produce heavy, non-removable, and poorly ventilated immobilization devices. Many digital workflows for producing custom orthoses require expensive scanners and commercial software, limiting their widespread clinical use. This technical report presents a rapid, low-cost workflow for producing a patient-specific orthosis using a smartphone's light detection and ranging (LiDAR) scanner, free software, and fused deposition modeling (FDM) 3D printing. The workflow included 3D scanning of the injured limb using an iPhone 15 Pro LiDAR scanner (Apple Inc., Cupertino, CA, USA), mesh processing and region selection in Meshmixer (Autodesk, Inc., San Rafael, CA, USA), orthosis shell generation in Shapr3D (Shapr3D Zrt., Budapest, Hungary) with a shell thickness of 2-2.4 mm, integration of fixation elements for Velcro straps, print preparation, and additive manufacturing using an FDM 3D printer (Bambu Lab X1C; Bambu Lab, Shenzhen, China) with polylactic acid (PLA) filament. The orthosis was designed for thumb immobilization and fixed using three Velcro straps positioned around the wrist, thumb, and metacarpal region. The total production time from scanning to orthosis placement was approximately three hours. The scanning and digital modeling process took less than one hour, while the 3D printing process was the main time-consuming step. The final orthosis weighed 43 g, was ventilated, removable, and appeared to provide adequate immobilization of the thumb and wrist. The presented workflow enables rapid, low-cost, and accessible production of patient-specific orthoses using consumer-grade hardware and free software. The method enables same-day orthosis production and may be particularly useful in emergency departments, outpatient clinics, and educational settings where rapid, personalized immobilization is required. - Source: PubMed
Publication date: 2026/04/13
Papadakis KonstantinosMileva-Popova Rene DYanev Krasimir KPeychinov DimitarBogdanov Todor G