Objective: To determine the internal relationships pf perceived discrimination and rejection sensitivity with social adjustment among college students with left behind experiences, so as to provide a reference for targeted prevention and intervention strategies for social adjustment issues in this population. Methods: A cluster random sampling method was used to select 2 999 college students from 3 universities in Qiqihar and Daqing, Heilongjiang Province. In October, 2024 (T1) and April 2025 (T2), the Discrimination Perception Questionnaire of college students, Rejection Sensitivity Questionnaire, and the Chinese College Student Adjustment Scale (CCSAS) were used to assess students perceptions of discrimination, rejection sensitivity, and social adjustment levels. Independent sample t-test was used for group comparisons. Traditional cross sectional comparisons and cross sectional network analysis were performed using T1 data for the core sample of 1 080 students with left behind experiences (T1). Longitudinal network analysis was performed using paired data from T1 and T2 ( n =1 024) and a preliminary cross lagged model was used to determine the relationships between variables. Sensitivity analysis was performed by including followup data from students without left behind experiences to test the robustness of the results. Results: After gender adjustment, students with leftbehind experiences had higher scores on discrimination perception (13.14±0.16) and rejection sensitivity (92.82±0.73) compared to the non left behind group (10.25±0.12) (89.12±0.55) while the social adjustment score (194.94±1.05) was lower than the non left behind group (202.82±0.79). The differences were statistically significant ( F =212.03, 16.52, 36.02, all P <0.01). Cross sectional network analysis showed that the "anticipated rejection likelihood" was the core node ( EI=-2.27 , BEI =-2.37), playing a key role in inter network connections and overall dynamic regulation. Longitudinal network comparison revealed statistically significant changes in the intensity centrality of the nodes "individual discrimination perception" and "anticipated rejection likelihood" (both P <0.05), while other nodes remained relatively stable. Cross lagged network analysis showed that the predictive effects of T1 on the variables at T2 were not statistically significant (maximum | r |=0.05, FDR corrected P >0.50), but the binomial test indicated a systematic positive correlation trend between the variables (66.7% positive correlation, P =0.04). Sensitivity analysis showed that the bridge effect of the "anticipated rejection likelihood" and "learning adjustment" nodes at T2 was more significant in the left behind group compared to the non left behind group. Conclusion The social adjustment issues of college students with left behind experiences require focused attention on the negative regulatory effect of "rejection cognition" and the positive regulatory effect of "learning adaptation".

The pulse amplitude of fingertip volume could be improved by selecting the vascular dense area and applying appropriate pressure above it. In view of this phenomenon, this paper used Comsol Multiphysics 5.6 (Comsol, Sweden), the finite element analysis software of multi-physical field coupling simulation, to establish the vascular tissue model of a single small artery in fingertips for simulation. Three dimensional Navier-Stokes equations were solved by finite element method, the velocity field and pressure distribution of blood were calculated, and the deformation of blood vessels and surrounding tissues was analyzed. Based on Lambert Beer's Law, the influence of the longitudinal compression displacement of the lateral light surface region and the tissue model on the light intensity signal is investigated. The results show that the light intensity signal amplitude could be increased and its peak value could be reduced by selecting the area with dense blood vessels. Applying deep pressure to the tissue increased the amplitude and peak of the signal. It is expected that the simulation results combined with the previous experimental experience could provide a feasible scheme for improving the quality of finger volume pulse signal.
Computer Simulation ; Fingers ; Finite Element Analysis ; Skin ; Software

Objective: To explore the clinical effect of artificial dermis on partial nail bed defects. Methods: From May 2013 to September 2016, 16 cases of 21 fingers with partial nail bed defect and bone exposure received primary repair with artificial dermis after debridement. Then the outer dressing was changed 3 days after the operation, and the dressing was changed once every 3 to 5 days. The pink dermis like tissue was placed on the wound surface 2 to 3 weeks after the operation. The wound surface was naturally epithelialized. Results: All the fingers were survived after artificial dermis repair, and the fingertip surface of nail bed defect was epithelialized naturally and healed well. Postoperative follow-up was 5 to 16 months, with an average of 8.2 months. The growth of fingernails was smooth with symmetrical appearance, natural toughness, good adhesion between the nail body and the nail bed, and no pain or hyperesthesia at the tip. Results of curative effect evaluation showed excellent in 18 fingers, good in 3 fingers. Results of patient′s satisfaction with postoperative finger appearance showed very satisfactory in 13 cases and satisfactory in 3 cases. Conclusions The method of repairing partial defect of nail bed using artificial dermis is simple with minimal damage and a good clinical effect.

Objective To investigate the association of transforming growth factor (TGF) gene rs1800469 (TGF1-509C/T) and rs1982073 (TGF1+869T/C) single nucleotide polymorphisms (SNP) with susceptibility of lung cancer. Methods The case group consisted of 193 histologically diagnosed lung cancer patients, and control group of 211 controls were selected from cancer-free patients at the same time. The single nucleotide polymorphisms of rs1800469 (TGF1-509C/T) and rs1982073(TGF1+869T/C) were analyzed by real-time fluorescent quantitative reverse transcription polymerase chain reaction method. The demographic characteristics, correlated risk factors of exposure and SNP between 2 groups were compared. Results The genotype distribution frequency of TGF1+869T/C and TGF1-509C/T in control group was accorded with Hardy-Weinberg law (P>0.05). The TT, TC and CC genotype distribution frequency in TGF1+869T/C in case group were 16.1%(31/193), 55.4%(107/193) and 28.5%(55/193), while these in control group were 22.3% (47/211), 50.2% (106/211) and 27.5% (58/211), and there were no statistical differences (P>0.05). The TT, TC and CC genotype distribution frequency in TGF1-509C/T in case group were 28.0%(54/193), 56.0%(108/193) and 16.1%(31/193), while these in control group were 27.0% (57/211), 51.2% (108/211) and 21.8% (46/211), and there were no statistical differences (P>0.05). The allele in rs1800469 (TGF1-509C/T) and rs1982073 (TGF1+869T/C) showed no association with lung cancer (P>0.05). Conclusions TGF gene SNP may not be associated with susceptibility to lung cancer in Han Chinese in North China.