Ticket Fare Optimization for China’s High-Speed Railway Based on Passenger Choice Behavior

Although China’s high-speed railway (HSR) is maturing after more than ten years of construction and development, the load factor and revenue of HSR could still be improved by optimizing the ticket fare structure. Different from the present unitary and changeless fare structure, this paper explores the application of multigrade fares to China’s HSR. On the premise that only one fare grade can be offered for each origin-destination (O-D) at the same time, this paper addresses the questions of how to adjust ticket price over time to maximize the revenue. First, on the basis of piecewise pricing strategy, a ticket fare optimization model is built, which could be transformed to convex program to be solved. Then, based on the analysis of passenger arrival regularity using historical ticket data of Beijing-Shanghai HSR line, several experiments are performed using the method proposed in the paper to explore the properties of the optimal multigrade fare scheme

Enteric Delivery of Regenerating Family Member 3 alpha Alters the Intestinal Microbiota and Controls Inflammation in Mice With Colitis

Background & Aims Paneth cell dysfunction causes deficiencies in intestinal C-type lectins and antimicrobial peptides, which leads to dysbiosis of the intestinal microbiota, alters the mucosal barrier, and promotes development of inflammatory bowel diseases. We investigated whether transgenic (TG) expression of the human regenerating family member 3 alpha gene ( REG3A ) alters the fecal microbiota and affects development of colitis in mice. Methods We performed studies with C57BL/6 mice that express human regenerating family member 3 alpha (hREG3A) in hepatocytes, via the albumin gene promoter. In these mice, hREG3A travels via the bile to the intestinal lumen. Some mice were given dextran sodium sulfate (DSS) to induce colitis. Feces were collected from mice and the composition of the microbiota was analyzed by 16S ribosomal RNA sequencing. The fecal microbiome was also analyzed from mice that express only 1 copy of human REG3A transgene but were fed feces from control mice (not expressing hREG3A) as newborns. Mice expressing hREG3A were monitored for DSS-induced colitis after cohousing or feeding feces from control mice. Colitis was induced in another set of control and hREG3A-TG mice by administration of trinitrobenzene sulfonic acid; some mice were given intrarectal injections of the hREG3A protein. Colon tissues were collected from mice and analyzed by histology and immunohistochemistry to detect mucin 2, as well as by 16S ribosomal RNA fluorescence in situ hybridization, transcriptional analyses, and quantitative polymerase chain reaction. We measured levels of reactive oxygen species (ROS) in bacterial cultures and fecal microbiota using 2′,7′-dichlorofluorescein diacetate and flow cytometry. Results The fecal microbiota of mice that express hREG3A had a significant shift in composition, compared with control mice, with enrichment of Clostridiales (Ruminococcaceae, Lachnospiraceae) and depletion of Bacteroidetes (Prevotellaceae); the TG mice developed less-severe colitis following administration of DSS than control mice, associated with preserved gut barrier integrity and reduced bacterial translocation, epithelial inflammation, and oxidative damage. A similar shift in the composition of the fecal microbiota occurred after a few months in TG mice heterozygous for REG3A that harbored a wild-type maternal microbiota at birth; these mice developed less-severe forms of colitis following DSS administration. Cohoused and germ-free mice fed feces from REG3A- TG mice and given DSS developed less-severe forms of colitis and had reduced lipopolysaccharide activation of the toll-like receptor 4 and increased survival times compared with mice not fed feces from REG3A -TG mice. REG3A TG mice developed only mild colonic inflammation after exposure to 2,4,6-trinitrobenzene sulfonic acid, compared with control mice. Control mice given intrarectal hREG3A and exposed to 2,4,6-trinitrobenzene sulfonic acid showed less colon damage and inflammation than mice not given intrarectal hREG3A. Fecal samples from REG3A- TG mice had lower levels of ROS than feces from control mice during DSS administration. Addition of hREG3A to bacterial cultures reduced levels of ROS and increased survival of oxygen-sensitive commensal bacteria ( Faecalibacterium prausnitzii and Roseburia intestinalis ). Conclusions Mice with hepatocytes that express hREG3A, which travels to the intestinal lumen, are less sensitive to colitis than control mice. We found hREG3A to alter the colonic microbiota by decreasing levels of ROS. Fecal microbiota from REG3A -TG mice protect non-TG mice from induction of colitis. These findings indicate a role for reduction of oxidative stress in preserving the gut microbiota and its ability to prevent inflammation

Concentration on Glass Separatory Funnel Wall of Anionic Surfactants by Ion Association with Methylene Blue

It is interesting to study whether or not the MB-AS associate can be adsorbed onto a glass container surface. In this paper, we report that an addition of a small amount of heptane is effective to promote adsorption of the AS-MB associate onto the wall of a glass separatory funnel. It is also found that the adsorption of free MB onto the glass surface can be suppressed to a considerable extent by adding sulfuric acid. The present method can be used to determine AS (DBS or DS) of the 10μg/l level in tap and river water samples

Chinese university students’ preferences for physical activity incentive programs: a discrete choice experiment

PurposeThis study aims to explore and compare Chinese university students’ preferences for various physical activity motivation programs.Patients and methodsA cross-sectional study was conducted in China from February 25 to March 25, 2022. Participants anonymously completed an online questionnaire based on a DCE. A total of 1,358 university students participated in the survey. The conditional logit model (CLM), willingness to accept (WTA), and propensity score matching (PSM) were used to assess college students’ preferences for different attributes and levels of physical activity incentive programs.ResultsRespondents identified the number of bonus, exercise time, and academic rewards as the three most significant attributes of the athletic incentive program. The importance of each attribute varied based on individual characteristics such as gender and BMI. In CLM, college students displayed a preference for a “¥4” bonus amount (OR: 2.04, 95% CI 1.95–2.13), “20 min” of exercise time (OR: 1.85, 95% CI 1.79–1.92), and “bonus points for comprehensive test scores” as academic rewards (OR: 1.33, 95% CI 1.28–1.37). According to the WTA results, college students were willing to accept the highest cost to obtain academic rewards tied to composite test scores.ConclusionThe number of bonus, exercise time, and academic rewards emerge as the three most crucial attributes of physical activity incentive programs. Furthermore, college students with different characteristics exhibit heterogeneity in their preferences for such programs. These findings can guide the development of programs and policies aimed at motivating college students to engage in physical activities

Development and Characterization of a Liposome Imaging Agent

Applied cancer research is heavily focused on the development of diagnostic tools with high sensitivity and specificity that are able to accurately detect the presence and anatomical location of neoplastic cells, as well as therapeutic strategies that are effective at curing or controlling the disease while being minimally invasive and having negligible side effects. Recently, much effort has been placed on the development of nanoparticles as diagnostic imaging and therapeutic agents, and several of these nanoplatforms have been successfully adopted in both the research and clinical arenas. This thesis describes the development of a nanoparticulate liposome system for use in a number of applications including multimodality imaging with computed tomography (CT) and magnetic resonance (MR), longitudinal vascular imaging, image-based biodistribution assessment, and CT detection of neoplastic and inflammatory lesions. Extensive in vitro and in vivo characterization was performed to determine the physico-chemical properties of the liposome agent, including its size, morphology, stability and agent loading, as well as its pharmacokinetics, biodistribution, tumor targeting and imaging performance. Emphasis was placed on the in vivo CT-based quantification of liposome accumulation and clearance from healthy and tumor tissues in a VX2 carcinoma rabbit model, gaining insight not only on the spatial but also the temporal biodistribution of the agent. The thesis concludes with a report that describes the performance of liposomes and CT imaging to detect and localize tumor and inflammatory lesions as compared to that of 18F-fluorodeoxyglucose (FDG) – positron emission tomography (PET). The outcome of the study suggests that liposome-CT could be employed as a competitive method for whole body image-based disease detection and localization. Overall, this work demonstrated that this liposome agent along with quantitative imaging systems and analysis tools, has the potential to positively impact cancer treatment outcome through improved diagnosis and staging, as well as enable personalization of treatment delivery via target delineation. However, in order to prove clinical benefit, steps must be taken to advance this agent through the regulatory stages and obtain approval for its use in humans. Ultimately, the clinical adoption of this multifunctional agent may offer improvements for disease detection, spatial delineation and therapy guidance.Ph

Research on Passenger Flow Assignment of High-Speed Trains Based on Personalized Itinerary Choice

Under the condition that ticket fare for high-speed train could fluctuate around a benchmark price in China, aimed at predicting how the passengers will distribute among different trains given a ticket fare, the passenger flow assignment method for high-speed trains is studied. Different from the classical researches on the passenger flow assignment, by introducing a variable that represents the value of time, this research allows passengers to make their personalized choice between the principles of time minimization and expense minimization, so as to demonstrate how the passengers holding different time values respond to each ticket fare scheme. An equilibrium passenger flow assignment model based on personalized choice is built and an improved Monte-Carlo random simulation algorithm is designed for solving the model. The actual ticket sale data for Beijing-Shanghai high-speed railway are used to verify the feasibility of the proposed model and algorithm. The passenger flow assignment results under various fare schemes show how the distribution of passenger flow changes with the adjustment of ticket fare

Development and Characterization of a Liposome Imaging Agent

Applied cancer research is heavily focused on the development of diagnostic tools with high sensitivity and specificity that are able to accurately detect the presence and anatomical location of neoplastic cells, as well as therapeutic strategies that are effective at curing or controlling the disease while being minimally invasive and having negligible side effects. Recently, much effort has been placed on the development of nanoparticles as diagnostic imaging and therapeutic agents, and several of these nanoplatforms have been successfully adopted in both the research and clinical arenas. This thesis describes the development of a nanoparticulate liposome system for use in a number of applications including multimodality imaging with computed tomography (CT) and magnetic resonance (MR), longitudinal vascular imaging, image-based biodistribution assessment, and CT detection of neoplastic and inflammatory lesions. Extensive in vitro and in vivo characterization was performed to determine the physico-chemical properties of the liposome agent, including its size, morphology, stability and agent loading, as well as its pharmacokinetics, biodistribution, tumor targeting and imaging performance. Emphasis was placed on the in vivo CT-based quantification of liposome accumulation and clearance from healthy and tumor tissues in a VX2 carcinoma rabbit model, gaining insight not only on the spatial but also the temporal biodistribution of the agent. The thesis concludes with a report that describes the performance of liposomes and CT imaging to detect and localize tumor and inflammatory lesions as compared to that of 18F-fluorodeoxyglucose (FDG) – positron emission tomography (PET). The outcome of the study suggests that liposome-CT could be employed as a competitive method for whole body image-based disease detection and localization. Overall, this work demonstrated that this liposome agent along with quantitative imaging systems and analysis tools, has the potential to positively impact cancer treatment outcome through improved diagnosis and staging, as well as enable personalization of treatment delivery via target delineation. However, in order to prove clinical benefit, steps must be taken to advance this agent through the regulatory stages and obtain approval for its use in humans. Ultimately, the clinical adoption of this multifunctional agent may offer improvements for disease detection, spatial delineation and therapy guidance.Ph