EXPERIMENTAL PRIMARY LIVER CANCER IN TREE SHREWS EXPOSED TO HUMAN HEPATITIS B VIRUS AND AFLATOXIN B_(1)

On the basis of the successful establishment of an animal model in tree shrews experimentally in fected with human hepatitis B virus (HHBV), a study on the hepatocarcinogenic effects of HHBV and aflatoxin B1 (AFB1) by using this animal model was conducted through a lifelong experiment. Among 41 tree shrews exposed to AFB1, 17 were experimentally infected by HHBV and 24 were uninfected. After 158 weeks, significant difference of primary liver cancer (PLC) incidence was present between the HHBV infected (52.94%) and uninfected (12.5%) groups (p<0.05). No difference was found between these two groups in the amount of AFB4 ingestion. Moreover, 1/9 of the tree shrews infected only by HHBV but not exposed to AFB4 developed PLC. No PLC was found in 6 tree shrews that had neither been infected with HHBV nor been exposed to AFB4. These results suggest the possible etiologic relationship between HHBV infection and PLC, as well as the synergetic effects of HHBV and AFB4 during PLC development.

Physiological responses of people in working faces of deep underground mines

The research studied the influences of high temperature, high pressure, high humidity, noise and other harmful factors in mining conditions on the people health and safety, and investigated the impacts of confined environmental on human physiology factors, including temperature, humidity, noise, pressure,toxic and harmful gases in terms of environmental characteristics in underground mines and an artificial intelligence system for simulation of the environment in a confined space of deep mines. Our results show that the systolic pressure, diastolic pressure, mean pressure, heart rate, respiratory rate, typing test speed and memory level percentage are negatively correlated with temperature value, and positively correlated with humidity value; the human temperature and weight are positively correlated with temperature value, and negatively correlated with humidity value. This research lays the foundation for the study of interaction between the deep confined space environment and safety behavior.

ESTABLISHMENT OF K562/ADM/VER CELL SUBLINE RESISTANT TO VERAPAMIL AND ITS RESISTANT MECHANISM

Objective: To understand whether verapamil (VER) resistance development in the multidrug-resistant cell line and its mechanism. Methods: K562/ADM/VER cell subline resistant to verapamil was established through a gradual increase of VER concentration in the media. MTT method was used to assay resistance to VER, cross resistance to dipyriamole (DPM), cyclosporin A (CsA) in the cells, and HPLC and spectrofluorometer to detect intracellular accumulation of VER or ADM respectively, as well as S-P immunocytochemical technique for detection of genes expression. Results: It were observed that 7.9—fold increase in VER resistance, significantly reduced intracellular accumulation of VER or ADM and also develop across resistance to DPM and CsA in K562/ADM/VER cells, compared with its parent cell, K562/ADM. High-level of p-glycoprotein(pgp), middle-level of p53, p16, was present in two cell lines without expression of GSTPI, C-myc, C-myc, C-fos and C-erbB-2. Bc1–2 protein expression was found only in K562/ADM cells. Conclusion: K562/ADM cells were capable of being induced to develop resistance to VER.

Recent progress in econophysics： Chaos, leverage, and business cycles as revealed by agent-based modeling and human experiments

Agent-based modeling and controlled human experiments serve as two fundamental research methods in the field of econophysics. Agent-based modeling has been in development for over 20 years, but how to design virtual agents with high levels of human-like ＂intelligence＂ remains a challenge. On the other hand, experimental econophysics is an emerging field; however, there is a lack of experience and paradigms related to the field. Here, we review some of the most recent research results obtained through the use of these two methods concerning financial problems such as chaos, leverage, and business cycles. We also review the principles behind assessments of agents＇ intelligence levels, and some relevant designs for human experiments. The main theme of this review is to show that by combining theory, agent-based modeling, and controlled human experiments, one can garner more reliable and credible results on account of a better verification of theory; accordingly, this way, a wider range of economic and financial problems and phenomena can be studied.

Experimental study of human umbilica cord blood stromal cells transfected with recombinant adenoviral vector co-expressing VCAM-1

This work was funded from National Natural Science Foun-dation of China(No.39770335 and No.30070327)andChongqing Medical Key construction Foundation.Abstract:Ob-jective To establish the experimental foundation for furtherstudying the effect of VCAM-1 gene modified HUCBSCs

Multi-agents modelling of EV purchase willingness based on questionnaires

Traditional experimental economics methods often consume enormous resources of qualified human participants,and the inconsistence of a participant’s decisions among repeated trials prevents investigation from sensitivity analyses.The problem can be solved if computer agents are capable of generating similar behaviors as the given participants in experiments.An experimental economics based analysis method is presented to extract deep information from questionnaire data and emulate any number of participants.Taking the customers’willingness to purchase electric vehicles(EVs)as an example,multi-layer correlation information is extracted from a limited number of questionnaires.Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires.The authenticity of both the model and the algorithmis validated by comparing the agent-based Monte Carlo simulation results with the questionnaire-based deduction results.With the aid of agent models,the effects of minority agents with specific preferences on the results are also discussed.

Chaotic-periodic transition in a two-sided minority game

Phase transitions are being used increasingly to probe the collective behaviors of social human systems. In this study, we propose a different way of investigating such transitions in a human system by establishing a two-sided minority game model. A new type of agents who can actively transfer resources are added to our artificial bipartite resource-allocation market. The degree of deviation from equilibria is characterized by the entropy-like quantity of market complexity. Under different threshold values, Qth, two phases are found by calculating the exponents of the associated power spectra. For large values of Qth, the general motion of strategies for the agents is relatively periodic whereas for low values of Qth, the motion becomes chaotic. The transition occurs abruptly at a critical value of Qty. Our simulation results were also tested based on human experiments. The results of this study suggest that a chaotic-periodic transition related to the quantity of market information should exist in most bipartite markets, thereby allowing better control of such a transi- tion and providing a better understanding of the endogenous emergence of business cycles from the perspective of quantum mechanics.

At the Edge(Always):An Interview with Jeffrey Schnapp

In this interview,Jeffrey Schnapp conceptualizes Digital Humanities,Knowledge Design and Experimental Humanities,seen as innovative frameworks,aimed at propitiating a radically new understanding of the current challenges of the contemporary world.The overwhelming presence of digital media and artificial intelligence is scrutinized by Schnapp in order to produce theory literally at the edge.