Results 201 to 210 of about 11,865,686 (236)
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin +12 more
wiley +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
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Group communication protocol for large group
1993 18th Conference on Local Computer Networks, 2002The authors discuss how to provide reliable group communication for a large number of entities interconnected by a high-speed one-channel network. A group of entities is partitioned into disjoint subgroups, named component clusters, interconnected by gateways, in order to reduce the processing time and data unit length.
Makoto Takizawa 0001 +2 more
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International Journal of Group Psychotherapy, 1970
(1970). A Large Group. International Journal of Group Psychotherapy: Vol. 20, No. 2, pp. 210-218.
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(1970). A Large Group. International Journal of Group Psychotherapy: Vol. 20, No. 2, pp. 210-218.
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Group Therapy with Multiple Therapists in a Large Group
American Journal of Psychiatry, 1970Group therapy meetings involving 35 to 45 patients and ten or 11 therapists were initiated with the limited goal of reducing tension on the ward. This goal was surpassed; it was even possible, despite the size of the meetings, to accomplish meaningful exploration of affect-laden areas.
P, Herschelman, D, Freundlich
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Scalable feedback for large groups
IEEE/ACM Transactions on Networking, 1999We investigate the scalability of feedback in multicast communication and propose a new method of probabilistic feedback based on exponentially distributed timers. By analysis and simulation for up to 10/sup 6/ receivers, we show that feedback implosion is avoided while feedback latency is low.
Jörg Nonnenmacher, Ernst W. Biersack
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Protocol for large-scale group
Proceedings. 13th International Workshop on Database and Expert Systems Applications, 2004We discuss a novel type of group communication protocol for a large number of processes. Group communication among a large number of processes implies large computation and communication overheads for manipulating and transmitting messages since computation and communication overheads are O(n/sup 2/) for number n of processes. In this paper, we discuss
Kojiro Taguchi, Makoto Takizawa 0001
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