Modelling the Passenger Choice Behaviour of Buying High-Speed Railway Tickets

Passenger choice behaviour of buying tickets has a great impact on the high-speed rail (HSR) revenue management. It is very critical to find out the sensitive factors that prevent passengers with high willingness to pay for a ticket from buying low-price tickets. The literature on passenger choice behaviour mainly focuses on travel mode choice, choice between a conventional train and a high-speed train and choice among high-speed trains. To extend the literature and serve revenue management, this paper investigates passenger choice behaviour of buying high-speed railway tickets. The data were collected by the stated preference (SP) survey based on Beijing-Hohhot high-speed railway. The conditional logit model was established to analyse influencing factors for business travel and non-business travel. The results show that: business passengers have the higher inherent preference for full-price tickets, while non-business passengers have the higher inherent preference for discount tickets; the number of days booked in advance and frequent passenger points have a significant impact on the ticket choice of business travellers, but not on non-business travellers; passengers are unwilling to buy tickets that depart after 16:00 for non-business travel; factors have different effects on the passengers\u27 choice in business travel and non-business travel. The results can provide parameters for revenue management models and references for the ticket-product design

How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering

Knowledge Base Question Answering (KBQA) aims to answer natural language questions based on facts in knowledge bases. A typical approach to KBQA is semantic parsing, which translates a question into an executable logical form in a formal language. Recent works leverage the capabilities of large language models (LLMs) for logical form generation to improve performance. However, although it is validated that LLMs are capable of solving some KBQA problems, there has been little discussion on the differences in LLMs' proficiency in formal languages used in semantic parsing. In this work, we propose to evaluate the understanding and generation ability of LLMs to deal with differently structured logical forms by examining the inter-conversion of natural and formal language through in-context learning of LLMs. Extensive experiments with models of different sizes show that state-of-the-art LLMs can understand formal languages as well as humans, but generating correct logical forms given a few examples remains a challenge. Most importantly, our results also indicate that LLMs exhibit considerable sensitivity. In general, the formal language with a lower formalization level, i.e., the more similar it is to natural language, is more friendly to LLMs.Comment: ACL Findings 202

Functional activity, functional connectivity and complex network biomarkers of progressive hyposmia Parkinson’s disease with no cognitive impairment: evidences from resting-state fMRI study

BackgroundOlfactory dysfunction stands as one of the most prevalent non-motor symptoms in the initial stage of Parkinson’s disease (PD). Nevertheless, the intricate mechanisms underlying olfactory deficits in Parkinson’s disease still remain elusive.MethodsThis study collected rs-fMRI data from 30 PD patients [15 with severe hyposmia (PD-SH) and 15 with no/mild hyposmia (PD-N/MH)] and 15 healthy controls (HC). To investigate functional segregation, the amplitude of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo) were utilized. Functional connectivity (FC) analysis was performed to explore the functional integration across diverse brain regions. Additionally, the graph theory-based network analysis was employed to assess functional networks in PD patients. Furthermore, Pearson correlation analysis was conducted to delve deeper into the relationship between the severity of olfactory dysfunction and various functional metrics.ResultsWe discovered pronounced variations in ALFF, ReHo, FC, and topological brain network attributes across the three groups, with several of these disparities exhibiting a correlation with olfactory scores.ConclusionUsing fMRI, our study analyzed brain function in PD-SH, PD-N/MH, and HC groups, revealing impaired segregation and integration in PD-SH and PD-N/MH. We hypothesize that changes in temporal, frontal, occipital, and cerebellar activities, along with aberrant cerebellum-insula connectivity and node degree and betweenness disparities, may be linked to olfactory dysfunction in PD patients

Clinical analysis of different intestinal reconstruction methods after primary cytoreductive surgery combined with rectal resection for advanced ovarian cancer

ObjectiveTo compare different intestinal reconstruction methods after intestinal resection for advanced ovarian malignancy.MethodsRetrospective data of patients with advanced ovarian malignancy were collected and then assigned into three groups: primary intestinal anastomosis, protective enterostomy and colostomy. General clinical characteristics, intraoperative findings and postoperative outcomes were compared between the three groups.ResultsA total of 530 cases were included for final analysis. The colostomy group had a lower serum albumin level, larger volume of ascites, higher likelihood of multiple intestinal resections and lower likelihood of rectal resection, lower peritoneal cancer index, more intraoperative blood loss, transfusions and infusions, lower likelihood of optimal cytoreductive surgery and shorter interval time to chemotherapy than the other two groups (p < 0.05). The primary intestinal anastomosis group exhibited a larger blood transfusion volume, higher incidence rates of anastomotic leak and electrolyte disturbance, and longer times to first flatus, first feeding and drain removal than the other two groups (p < 0.05).ConclusionsColostomy can be adopted for advanced ovarian cancer patients with a large ascites volume, hypoproteinemia, large intraoperative blood and fluid loss volumes, multiple intestinal resections, anastomoses located below the peritoneal reflection, high PCI and suboptimal cytoreductive surgery. For patients with good intraoperative and postoperative outcomes, one anastomosis, an anastomosis located above the peritoneal reflection, low PCI or optimal cytoreductive surgery, intestinal anastomosis can be carried out to restore the normal physiological function of the intestine. For patients with a large volume of ascites (≥500 mL), multiple anastomoses or an anastomosis located below the peritoneal reflection, intestinal anastomosis combined with protective enterostomy has an advantage over intestinal anastomosis alone

Exosomal miR-24-3p mediates myoblast-macrophage crosstalk to promote abdominal muscle repair

ObjectiveThe objective of this study was to explore the role of exosomal miR-24-3p in facilitating communication between myoblasts and macrophages, and to assess its potential in promoting abdominal muscle repair.MethodsWe utilized C2C12 myoblasts and RAW 264.7 macrophages, inducing the latter into an M2 phenotype. miR-24-3p levels were manipulated via transfection, and exosomes were isolated from M2 macrophages using ultracentrifugation. Exosome characterization was performed using TEM and Western blot. In vitro assays evaluated C2C12 cell proliferation, migration, and differentiation. In vivo, a cardiotoxin-induced mouse model of muscle injury was used to assess the effects of exosomal miR-24-3p on muscle repair, including histological assessment and analysis of cytokine and metabolic markers.ResultsOur results demonstrated that exosomal miR-24-3p, when isolated from M2 macrophages, was effectively internalized by C2C12 cells and significantly enhanced their metabolic activity, proliferation, and migratory capabilities. Moreover, it induced cellular differentiation, as observed under microscopic examination. In the abdominal muscle injury model, the administration of exosomal miR-24-3p led to a reduction in muscle fiber damage, fibrosis, and inflammation. It also promoted the restoration of glucose and lipid metabolism, which is critical for the energy demands of regenerating muscle. Furthermore, exosomal miR-24-3p upregulated the expression of genes associated with muscle cell proliferation and differentiation, suggesting its potential role in muscle repair.ConclusionIn conclusion, exosomal miR-24-3p plays a significant role in facilitating abdominal muscle repair by mediating the interaction between myoblasts and macrophages

Preparation Process Optimization and Stability Study of Loquat Flower Flavonoid Nanoparticles

In order to improve the stability of loquat flower flavonoids, loquat flower flavonoids/zein/pectin nanoparticles (LF/Z/P Nps) were prepared by anti-solvent precipitation method. Taking the embedding rate, particle size and Zeta potential as indicators, the effects of polysaccharide species, flavonoids concentration, zein concentration, alcohol-to-water ratio and pectin concentration on the preparation of nanoparticles were explored. The preparation process of nanoparticles was optimized by response surface experiment, and the characteristics of nanoparticles were studied. The results showed that the optimal preparation conditions were determined as follows: Loquat flower flavonoids concentration of 0.135 mg/mL, zein concentration of 2.2 mg/mL, alcohol-to-water ratio of 1:4, and pectin concentration of 0.78 mg/mL. Under these conditions, the embedding rate of nanoparticles was 86.20%±0.91%, the average particle size was 132.13±1.31 nm, the PDI was 0.16±0.01, and the Zeta potential was −33.97±1.46 mV. The nanoparticles were sensitive to pH and Na+, but could effectively maintain the antioxidant and stability of loquat flower flavonoids. In this study, LF/Z/P Nps with good stability were prepared by reverse-solvent precipitation method, which laid a certain theoretical basis for improving the processing adaptability of loquat flower flavonoids

A biophoton method for identifying the quality states of fresh Chinese herbs

Introduction: The quality of Chinese herbs is the basis for ensuring their safety and efficacy. However, the quality evaluation system is imperfect. In particular, there is a lack of quality evaluation methods for fresh Chinese herbs during growth. The biophoton is a common phenomenon and provides complete information about the interior of the living system, which is consistent with the holistic concept of traditional Chinese medicine. Therefore, we aim to correlate the biophoton characteristics with the quality states to find the biophoton parameters that can characterize the quality states of fresh Chinese herbs.Methods: The biophoton characteristics of motherwort and safflower were measured and characterized by the counts per second (CPS) in the steady state and the initial intensity (I0) and coherent time (T) of delayed luminescence. The active ingredient content was measured by ultra-high-performance liquid chromatography (UPLC). The pigment content of motherwort leaves was measured by UV spectrophotometry. The t-test and correlation analysis were performed on the experimental results.Results: The CPS and I0 of motherwort and I0 of safflower showed a significant downward trend during the growth process, and their active ingredient content showed a trend that increased and then decreased. The CPS, I0, and the content of active ingredients and pigments in a healthy state were significantly higher than those in a poor state, while T showed the opposite results. The CPS and I0 were all significantly and positively correlated with the content of active ingredients and pigments, while the T of motherwort showed the opposite results.Conclusion: It is feasible to identify the quality states of fresh Chinese herbs by using their biophoton characteristics. Both CPS and I0 have better correlations with the quality states and can be considered characteristic parameters of the quality of fresh Chinese herbs

Characteristics and Framework for Assessing Supply and Demand Relationship for Ecosystem Services Using a Trade-off and Synergy Lens

Ecosystem services (ESs) are a pivotal interface between ecological and societal systems. Comprehending the balance between what nature offers and society demands is indispensable for fostering human prosperity. This study seeks to fill the gaps in existing knowledge, including inconsistencies in terminology, limited exploration of driving mechanisms, and the lack of a comprehensive management strategy framework in ES supply and demand research. The article comprehensively reviews the conceptual connotations and assessment methods related to ES supply and demand. The paper delves into the specific traits of studies examining the interplay between supply and demand, focusing on relationship identification, driving mechanisms, threshold effects and management strategies. And the review articulates a theoretical framework to examine the interplay of ES supply and demand as well as emphasises directions for further research. The results show that: (1) a unified definition for ES supply and demand has yet to be agreed upon. The critical part played by humans in ES supply is often neglected, and there is a corresponding scarcity of demand evaluations for such services. (2) Previous research has identified trade-offs and synergies, analysed underlying forces and threshold effects, and proposed management strategies for the dynamics between ES supply and demand based on quantitative assessment. (3) Prospectively, the beneficiaries need to be considered more. Additional research is required to explore in-depth the underlying processes of multi-scale ES supply and demand. Adaptive management provides opportunities for ecosystem management

Cathepsins and cancer risk: a Mendelian randomization study

BackgroundPrevious observational epidemiological studies reported an association between cathepsins and cancer, however, a causal relationship is uncertain. This study evaluated the causal relationship between cathepsins and cancer using Mendelian randomization (MR) analysis.MethodsWe used publicly available genome-wide association study (GWAS) data for bidirectional MR analysis. Inverse variance weighting (IVW) was used as the primary MR method of MR analysis.ResultsAfter correction for the False Discovery Rate (FDR), two cathepsins were found to be significantly associated with cancer risk: cathepsin H (CTSH) levels increased the risk of lung cancer (OR = 1.070, 95% CI = 1.027–1.114, P = 0.001, PFDR= 0.009), and CTSH levels decreased the risk of basal cell carcinoma (OR = 0.947, 95% CI = 0.919–0.975, P = 0.0002, PFDR= 0.002). In addition, there was no statistically significant effect of the 20 cancers on the nine cathepsins. Some unadjusted low P-value phenotypes are worth mentioning, including a positive correlation between cathepsin O (CTSO) and breast cancer (OR = 1.012, 95% CI = 1.001–1.025, P = 0.041), cathepsin S (CTSS) and pharyngeal cancer (OR = 1.017, 95% CI = 1.001–1.034, P = 0.043), and CTSS and endometrial cancer (OR = 1.055, 95% CI = 1.012–1.101, P = 0.012); and there was a negative correlation between cathepsin Z and ovarian cancer (CTSZ) (OR = 0.970, 95% CI = 0.949–0.991, P = 0.006), CTSS and prostate cancer (OR = 0.947, 95% CI = 0.902–0.944, P = 0.028), and cathepsin E (CTSE) and pancreatic cancer (OR = 0.963, 95% CI = 0.938–0.990, P = 0.006).ConclusionOur MR analyses showed a causal relationship between cathepsins and cancers and may help provide new insights for further mechanistic and clinical studies of cathepsin-mediated cancer