41 research outputs found
Method optimization of models parameters for the nonstationary traffic in telecommunication network
Результати параметрів моделі оптимізації для нестаціонарного руху в телекомунікаційних та комп'ютерних мереж наведено. Для оптимального моделювання динаміки руху метрик Евкліда і просторів Гілберта використовуються. Техніка та алгоритм оптимізації моделей розроблені. Теоретичні положення ілюструються чисельними прикладами і схемами з використанням
ofMathCADРезультаты параметров модели оптимизации для нестационарного движения в телекоммуникационных и компьютерных сетей приведены . Для оптимального моделирования динамики движения метрик Евклида и пространств Гилберта используются . Техника и алгоритм оптимизации моделей разработаны . Теоретические положения иллюстрируются численными примерами и схемами с использованием
ofMathCADResults of models parameters optimization for the nonstationary traffic in telecommunication and computer networks are given. For optimum modeling of the traffic dynamics metrics of Euclid’s and Gilbert’s spaces are used. The technique and algorithm of models optimization are developed. Theoretical positions are illustrated by numerical examples and diagrams with use ofMathCA
Порівняльний аналіз моделювання адекватності нестаціонарного трафіку в мережах телезв'язку
In paper results of the comparative analysis of modeling adequacy of the nonstationary traffic in telecommunication networks are given. For optimum modeling dynamics of the traffic metrics of spaces Euclid and Gilbert are used. The algorithm and a technique of verification of optimum models are developed. It is shown, that modeling of the nonstationary traffic in space Gilbert is preferable as gives more exact models. Theoretical positions are illustrated by numerical examples and diagrams with use of system MathCADВ бумажных результатах сравнительного анализа предоставлено моделирование адекватности нестационарного движения в сетях телесвязи. Для динамики оптимального моделирования используются метрики движения Euclid интервалов и Гилберта. Развиваются алгоритм и техника проверки оптимальных моделей. Показано, что моделирование нестационарного движения в космическом Гилберте подавляющее, поскольку предоставляет более точные модели. Теоретические позиции иллюстрируют числовые примеры и диаграммы с использованием системы MATHCADУ паперових результатах порівняльного аналізу надано моделювання адекватності нестаціонарного руху в мережах телезв'язку. Для динаміки оптимального моделювання використовуються метрики руху Euclid інтервалів і Гілберта. Розвиваються алгоритм і техніка перевірки оптимальних моделей. Показано, що моделювання нестаціонарного руху в космічному Гілберті переважне, оскільки надає точніші моделі. Теоретичні позиції ілюструють числові приклади і діаграми з використанням системи MATHCA
MetaGPT: Meta Programming for Multi-Agent Collaborative Framework
Recently, remarkable progress has been made in automated task-solving through
the use of multi-agents driven by large language models (LLMs). However,
existing works primarily focuses on simple tasks lacking exploration and
investigation in complicated tasks mainly due to the hallucination problem.
This kind of hallucination gets amplified infinitely as multiple intelligent
agents interact with each other, resulting in failures when tackling
complicated problems.Therefore, we introduce MetaGPT, an innovative framework
that infuses effective human workflows as a meta programming approach into
LLM-driven multi-agent collaboration. In particular, MetaGPT first encodes
Standardized Operating Procedures (SOPs) into prompts, fostering structured
coordination. And then, it further mandates modular outputs, bestowing agents
with domain expertise paralleling human professionals to validate outputs and
reduce compounded errors. In this way, MetaGPT leverages the assembly line work
model to assign diverse roles to various agents, thus establishing a framework
that can effectively and cohesively deconstruct complex multi-agent
collaborative problems. Our experiments conducted on collaborative software
engineering tasks illustrate MetaGPT's capability in producing comprehensive
solutions with higher coherence relative to existing conversational and
chat-based multi-agent systems. This underscores the potential of incorporating
human domain knowledge into multi-agents, thus opening up novel avenues for
grappling with intricate real-world challenges. The GitHub repository of this
project is made publicly available on: https://github.com/geekan/MetaGP
Magnetic propelled hydrogel microrobots for actively enhancing the efficiency of lycorine hydrochloride to suppress colorectal cancer
Research and development in the field of micro/nano-robots have made significant progress in the past, especially in the field of clinical medicine, where further research may lead to many revolutionary achievements. Through the research and experiment of microrobots, a controllable drug delivery system will be realized, which will solve many problems in drug treatment. In this work, we design and study the ability of magnetic-driven hydrogel microrobots to carry Lycorine hydrochloride (LH) to inhibit colorectal cancer (CRC) cells. We have successfully designed a magnetic field driven, biocompatible drug carrying hydrogel microsphere robot with Fe3O4 particles inside, which can achieve magnetic field response, and confirmed that it can transport drug through fluorescence microscope. We have successfully demonstrated the motion mode of hydrogel microrobots driven by a rotating external magnetic field. This driving method allows the microrobots to move in a precise and controllable manner, providing tremendous potential for their use in various applications. Finally, we selected drug LH and loaded it into the hydrogel microrobot for a series of experiments. LH significantly inhibited CRC cells proliferation in a dose- and time-dependent manner. LH inhibited the proliferation, mobility of CRC cells and induced apoptosis. This delivery system can significantly improve the therapeutic effect of drugs on tumors
Mathematical modeling of data transmission system in communication networks/Duomenų perdavimo ryšio tinklais matematinis modeliavimas
Probability failure in operation as well as error probability at fixed frequency band, number of users, and data transmission speed have been analyzed.
Santrauka
Išnagrinėta aptarnavimo atmetimo tikimybė bei klaidų tikimybė fiksuotų dažnių juostose, abonentų skaičiaus ir informacijos perdavimo greičio nustatyme.
First Published Online: 14 Oct 2010
Reikšminiai žodžiai: avarijos tikimybė, naudotojų skaičius, duomenų perdavimo greitis, ryšio sistemos, ryšio kanalai
Investigation of the Expression Pattern and Functional Role of miR-10b in Intestinal Inflammation
Implications of miRNAs for animal health management in livestock remain elusive. To identify suitable miRNAs as monitoring biomarkers, piglets were randomly selected for sampling on days 0, 1, 3, 7, and 14 post-weaning. The results show that miR-10b levels in the villus upper cells of the jejunum on days 3 and 7 were significantly lower than that on day 14 post-weaning and reduced by approximately 30% on day 3 and 55% on day 7 compared to day 0. In contrast, miR-10b in crypt cells decreased by approximately 82% on day 7 and 64% on day 14 compared with day 0. Next, miR-10 knockout mice and wild-type mice were subjected to dextran sulfate sodium (DSS) for 7 days. The findings demonstrate that mice lacking miR-10b were more susceptible to DSS administration, as demonstrated by worse survival, greater weight loss, more severe tissue damage, and increased intestinal permeability. Moreover, the increased disease severity was correlated with enhanced macrophage infiltration, coincident with significantly elevated pro-inflammatory mediators and immunoglobulins. Bioinformatic analysis further reveals that the enriched pathways were mainly involved in host immune responses, and Igtp was identified as a potential target of miR-10b. These findings may provide new strategies for future interventions for swine health and production
Expression Profile of miR-199a and Its Role in the Regulation of Intestinal Inflammation
Early weaning stress impairs intestinal health in piglets. miRNAs are crucial for maintaining host homeostasis, while their implication for animal health remains unclear. To identify weaning-associated miRNAs, piglets were sampled at day 0, 1, 3, 7 and 14 after weaning. The data indicated that the highest levels of miR-199a-5p in jejunal villus upper cells were observed on day 14 after weaning, while the lowest levels in crypt cells were noted on day 7 and 14. In contrast, miR-199a-3p was down-regulated in both of these two cells on day 7 after weaning compared with day 0. Both miR-199a-5p and -3p were differently expressed along the villus–crypt axis. To further clarify the function of miR-199a, mice deficient in miR-199a were exposed to dextran sulfate sodium (DSS) to induce colitis. Results revealed that silencing of miR-199a enhanced sensitivity to DSS-induced colitis. Moreover, the increased morbidity and mortality were correlated with enhanced inflammatory cell infiltration, elevated pro-inflammatory cytokine expression, impaired barrier function, and a concomitant increase in permeability-related parameters. Bioinformatic analysis further demonstrated that lipid metabolism-related pathways were significantly enriched and Ndrg1 was verified as a target of miR-199a-3p. These findings indicate that miR-199a may be important for animal health management
Leptin ameliorates Aβ1-42-induced Alzheimer’s disease by suppressing inflammation via activating p-Akt signaling pathway
Effect of pore structure on the seepage characteristics of tight sandstone reservoirs: A case study of Upper Jurassic Penglaizhen Fm reservoirs in the western Sichuan Basin
Tight sandstone reservoirs are characterized by complex pore structures and strong heterogeneity, and their seepage characteristics are much different from those of conventional sandstone reservoirs. In this paper, the tight sandstone reservoirs of Upper Jurassic Penglaizhen Fm in western Sichuan Basin were analyzed in terms of their pore structures by using the data about physical property, mercury injection and nuclear magnetic resonance (NMR) tests. Then, the seepage characteristics and the gas–water two-phase migration mechanisms and distribution of tight sandstone reservoirs with different types of pore structures in the process of hydrocarbon accumulation and development were simulated by combining the relative permeability experiment with the visual microscopic displacement model. It is shown that crotch-like viscous fingering occurs in the process of gas front advancing in reservoirs with different pore structures. The better the pore structure is, the lower the irreducible water saturation is; the higher the gas-phase relative permeability of irreducible water is, the more easily the gas reservoir can be developed. At the late stage of development, the residual gas is sealed in reservoirs in the forms of bypass, cutoff and dead end. In various reservoirs, the interference between gas and water is stronger, so gas and water tends to be produced simultaneously. The sealed gas may reduce the production rate of gas wells significantly, and the existence of water phase may reduce the gas permeability greatly; consequently, the water-bearing low-permeability tight sandstone gas reservoirs reveal serious water production, highly-difficult development and low-recovery percentage at the late stage, which have adverse impacts on the effective production and development of gas wells