Exploring the Creation and Humanization of Digital Life: Consciousness Simulation and Human-Machine Interaction

Digital life, a form of life generated by computer programs or artificial intelligence systems, it possesses self-awareness, thinking abilities, emotions, and subjective consciousness. Achieving it involves complex neural networks, multi-modal sensory integration [1, 2], feedback mechanisms, and self-referential processing [3]. Injecting prior knowledge into digital life structures is a critical step. It guides digital entities' understanding of the world, decision-making, and interactions. We can customize and personalize digital life, it includes adjusting intelligence levels, character settings, personality traits, and behavioral characteristics. Virtual environments facilitate efficient and controlled development, allowing user interaction, observation, and active participation in digital life's growth. Researchers benefit from controlled experiments, driving technological advancements. The fusion of digital life into the real world offers exciting possibilities for human-digital entity collaboration and coexistence.Comment: 10 page

Core competitiveness strategic thinking in China's maternal and child healthcare hospitals: an exploratory study

In recent years, China has achieved rapid economic and social development. To keep up with the economic growth, China adopted two-child policy and started to reform the medical system. Against such backdrop, there is a huge increase in the demand for women and children's health services. However, the overall service capacity of the maternal and child care service centers in China cannot satisfy the growing demand. Therefore, it is necessary to update development strategies so as to achieve a sustainable and healthy development. Based on the resource-based view, this thesis studies the core competitiveness of the hospitals. First, we conducted three rounds of Delphi consultation with 32 hospital managers and research experts in public health from eight different institutions to finalize the evaluation index for the core competitiveness specially developed for Chinese maternal and child care service centers. In order to validate the evaluation index, we have proceeded with correlation analysis of core competitiveness with five other maternal and child care service centers of same level in China. An in-depth the case study of Shunde Maternal and Child Healthcare Hospital. and through SWOT analysis, we have proposed strategies for improving the core competitiveness of Shunde Maternal and Child Healthcare Hospital to adapt to new situations. Last but not least, through analysis of the key influencing factors of the hospital’s development in the past decade, we have proved the importance of improving the core competitiveness so as to adapt to changes of the environment. This study found that VRIO resources and capabilities, dynamic capabilities and unique hospital culture are the three key factors to ensure excellent performances for Shunde Maternal and Child Healthcare Hospital. To be more specific, hospitals should adopt specialization strategies, develop a talent team, improve management and service abilities, develop cooperative medical service system, improve abilities to treat critical and difficult diseases and establish a culture that encourages innovation and people-oriented.Nos anos mais recentes, assistiu-se na China, um acelerado desenvolvimento socioeconómico. A par disso, assistiu-se à introdução da política de “dois filhos” bem como de outras medidas públicas reformativas do sistema de saúde que estão a ser implementadas com grande sucesso. Porém, a capacidade total das maternidades e hospitais pediátricos está, no entanto, longe de ser capaz de satisfazer toda a procura nesta nova era. Consequentemente, é necessário repensar as estratégias de desenvolvimento de modo a atingir um desenvolvimento sustentado da saúde. Com base na teoria de recursos, a presente tese promoveu uma análise sobre as competências nucleares dos hospitais. Em primeiro lugar, aplicou-se o método Delphi com três fases de consulta onde intervieram 32 gestores hospitalares e peritos em saúde pública de oito diferentes instituições para a construção de um índice de avaliação de competências nucleares de centros de maternidade e de pediatria. Para validação do índice de avaliação realizaram-se análises de correlação de competências nucleares com outros cinco centros de maternidade do mesmo nível que o "Shunde Maternal and Child Healthcare Hospital". Elaborou-se um estudo de caso aprofundado do Shunde Maternal and Child Healthcare Hospital e, com base neste e na aplicação da análise SWOT foram formuladas estratégias para a melhoria das capacidades organizacionais nucleares do hospital. Por outro lado, a análise de fatores essenciais de desenvolvimento do hospital nos últimos 10 anos, este estudo demonstrou, ainda, a importância da relevação das capacidades organizacionais nucleares na adaptação do hospital às variações da envolvente global. O presente estudo permitiu concluir que os recursos e capacidades organizacionais VRIO, o domínio das capacidades dinâmicas e a cultura específica do hospital são os três fatores chave de estratégia para que os hospitais pediátricos e de maternidade possam ter um desempenho superior. As medidas mais importantes no quadro das capacidades organizacionais nucleares a reter são a estratégia de especialização, a construção do um sistema de retenção de talentos, melhoria de competências de gestão, a construção de um sistema médico integrado e o estabelecimento de uma cultura de inovação e cuidado com as mães e progénitos

Nonlinear Robust Control of Trajectory-Following for Autonomous Ground Electric Vehicles

This chapter proposes a nonlinear robust H-infinity control approach to enhance the trajectory-following capabilities of autonomous ground electric vehicles (AGEV). Given the inherent influence of driving maneuvers and road conditions on vehicle trajectory dynamics, the primary objective is to address the control challenges associated with trajectory-following, including parametric uncertainties, system nonlinearities, and external disturbance. Firstly, taking into account parameter uncertainties associated with the tire’s physical limits, the system dynamics of the AGEV and its uncertain vehicle trajectory-following system are modeled and constructed. Subsequently, an augmented system for control-oriented vehicle trajectory-following is developed. Finally, the design of the nonlinear robust H-infinity controller (NRC) for the vehicle trajectory-following system is carried out, which is designed based on the H-infinity performance index and incorporates nonlinear compensation to meet the requirements of the AGEV system. The controller design involves solving a set of linear matrix inequalities derived from quadratic H-infinity performance and Lyapunov stability. To validate the efficacy of the proposed controller, simulations are conducted using a high-fidelity CarSim® full-vehicle model in scenarios involving double lane change and serpentine maneuvers. The simulation results demonstrate that the proposed NRC outperforms both the linear quadratic regulator (LQR) controller and the robust H-infinity controller (RHC) in terms of vehicle trajectory-following performance

Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks

The recognition of disease and chemical named entities in scientific articles is a very important subtask in information extraction in the biomedical domain. Due to the diversity and complexity of disease names, the recognition of named entities of diseases is rather tougher than those of chemical names. Although there are some remarkable chemical named entity recognition systems available online such as ChemSpot and tmChem, the publicly available recognition systems of disease named entities are rare. This article presents a system for disease named entity recognition (DNER) and normalization. First, two separate DNER models are developed. One is based on conditional random fields model with a rule-based post-processing module. The other one is based on the bidirectional recurrent neural networks. Then the named entities recognized by each of the DNER model are fed into a support vector machine classifier for combining results. Finally, each recognized disease named entity is normalized to a medical subject heading disease name by using a vector space model based method. Experimental results show that using 1000 PubMed abstracts for training, our proposed system achieves an F1-measure of 0.8428 at the mention level and 0.7804 at the concept level, respectively, on the testing data of the chemical-disease relation task in BioCreative V

Sequence analysis of functional Apisimin-2 cDNA from royal jelly of Chinese honeybee and its expression in Escherichia coli. Asia

Apisimin is one of the functional peptides from royal jelly. The aim of this study was to analyze and in vitro express a new gene encoding Acc-apisimin-2 from Chinese honeybee (Apis cerana cerana) in Escherichia coli. Ninety-six clones containing apisimin expressed sequence tag (EST) were identified from 8568 effective ESTs of the cDNA library of Chinese honeybee worker heads. The coding region of the matured peptide from one clone containing Acc-apisimin-2 gene was sub-cloned into the prokaryotic expression vector pGEX-4T-2. The recombinant vector then was transformed into E. coli BL21 (DE3) for expression. The expression product was analyzed with SDS-PAGE and Western blot. The total length of the Acc-apisimin-2 cDNA was 379 bp, containing an open-reading frame (ORF) of 237 nucleotides encoding a 78 amino acid residue precursor. The Acc-apisimin-2 gene shared 100% homologies with Am-apisimin from A. mellifera, but 93% and 91％ homologies with Aciapisimin from A. cerana indica and the previously reported Acc-apisimin-1 sequence (AY278991) on a nucleotide level, respectively. The GST-Acc-apisimin-2 fusion protein expressed in the recombinant vector was about 31 kDa in size and accumulated up to about 22.1% of the total bacterial proteins. About 50% of the recombinant protein was soluble. The fusion protein purified through affinity chromatography was cross reactive with GST antibody, which confirmed the successful expression of GST-Acc-apisimin-2

Construction and immunological characterization of CD40L or GM-CSF incorporated Hantaan virus like particle

Infection of Hantaan virus (HTNV) usually causes hemorrhagic fever with renal syndrome (HFRS). China has the worst epidemic incidence of HFRS as well as high fatality. Inactivated whole virus has been used for HFRS vaccination, however there are still problems such as safety concerns. CD40 ligand (CD40L) and granulocyte macrophage colony-stimulating factor (GM-CSF) are well-known immune stimulating molecules that can enhance antigen presenting, lymphocytes activation and maturation, incorporation of CD40L and GM-CSF to the surface of virus like particles (VLPs) can greatly improve the vaccination effect. We constructed eukaryotic vectors expressing HTNV M segment and S segment, as well as vectors expressing HTNV M segment with CD40L or GM-CSF, our results showed successful production of CD40L or GM-CSF incorporated HTNV VLPs. In vitro stimulation with CD40L or GM-CSF anchored HTNV VLP showed enhanced activation of macrophages and DCs. CD40L/GM-CSF incorporated VLP can induce higher level of HTNV specific antibody and neutralizing antibody in mice. Immunized mice splenocytes showed higher ability of secreting IFN-γ and IL-2, as well as enhancing CTL activity. These results suggest CD40L/GM-CSF incorporated VLP can serve as prospective vaccine candidate

Investigation of wavelength-tunable supercontinuum light sources

The supercontinuum phenomenon has drawn great research attention since its discovery. In general, supercontinuum is resulted from the synergy of some fundamental complex nonlinear processes. Although theses contributors are already indentified to be group-velocity dispersion, self-phase modulation, cross-phase modulation, stimulated Raman scattering, four-wave mixing and higher-order dispersion, their relative functions during the process still remain blurry. In order to identify the functions of each process and make foundation for supercontinuum light sources. Theoretical study and modeling are conducted under the framework of nonlinear fiber optic and the numerical modeling are performed on the MATLAB platform. The simulations conducted presents symmetry and asymmetry in different set-ups. And pulse’s red-shift and blue-shift are identified in the results of the simulations. Discussions are made upon these findings. Furthermore, based on these findings, a method to control supercontinuum generation is brought forward.Bachelor of Engineerin

Lp Solutions of BSDEs with Stochastic Lipschitz Condition

We are concerned with the solutions of a special class of backward stochastic differential equations which are driven by a Brownian motion, where the uniform Lipschitz continuity is replaced by a stochastic one. We prove the existence and uniqueness of the solution in Lp with p>1