Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

Background: Nasopharyngeal carcinoma (NPC) is characterized by high programmed death-ligand 1 (PD-L1) expression and abundant infiltration of non-malignant lymphocytes, which renders patients potentially suitable candidates for immune checkpoint blockade therapies. Palate, lung, and nasal epithelium clone (PLUNC) inhibit the growth of NPC cells and enhance cellular apoptosis and differentiation. Currently, the relationship between PLUNC (as a tumor-suppressor) and PD-L1 in NPC is unclear. Methods: We collected clinical samples of NPC to verify the relationship between PLUNC and PD-L1. PLUNC plasmid was transfected into NPC cells, and the variation of PD-L1 was verified by western blot and immunofluorescence. In NPC cells, we verified the relationship of PD-L1, activating transcription factor 3 (ATF3), and β-catenin by western blot and immunofluorescence. Later, we further verified that PLUNC regulates PD-L1 through β-catenin. Finally, the effect of PLUNC on β-catenin was verified by co-immunoprecipitation (Co-IP). Results: We found that PLUNC expression was lower in NPC tissues than in paracancer tissues. PD-L1 expression was opposite to that of PLUNC. Western blot and immunofluorescence showed that β-catenin could upregulate ATF3 and PD-L1, while PLUNC could downregulate ATF3/PD-L1 by inhibiting the expression of β-catenin. PLUNC inhibits the entry of β-catenin into the nucleus. Co-IP experiments demonstrated that PLUNC inhibited the interaction of DEAD-box helicase 17 (DDX17) and β-catenin. Conclusions PLUNC downregulates the expression of PD-L1 by inhibiting the interaction of DDX17/β-catenin in NPC.

In the era of big data, neuroimaging and algorithmic analyses have propelled brain science research and brain mapping. Acupuncture, widely recognized as an effective surface stimulation therapy, has demonstrated therapeutic efficacy for various brain conditions such as stroke and depression. However, the mechanisms linking acupuncture to brain function and its modulatory effects on brain activity require systematic exploration. Additionally, there is an urgent need to scientifically reinterpret traditional meridian theory and enhance its clinical applicability. Therefore, we propose the initiative of constructing a "brain mapping atlas of meridian, collateral and body surface stimulation" to explore the patterns linking the therapeutic effects of stimulating the twelve meridians, eight extraordinary vessels, divergent channels, collateral channels, sinew channels, and skin regions to brain function. This initiative aims to provide a scientific interpretation of traditional Chinese medicine meridian theory and enhance its practical applicability. This paper begins by reviewing the current state of brain mapping. It then summarizes existing research on the relationship between acupuncture and the brain, highlighting the necessity of constructing this atlas. The paper further analyzes the methodologies and technical challenges involved. Finally, the potential applications of the brain mapping atlas of meridian, collateral and body surface stimulation, and its main significance in advancing traditional meridian theory to keep pace with the times are prospected.
Humans ; Acupuncture Therapy ; Meridians ; Big Data ; Brain/physiology* ; Brain Mapping

Objective To investigate the application value of energy spectral CT low energy(keV)targeted reconstruction tech-niques combined with adaptive statistical iterative reconstruction-Veo(ASIR-V)algorithm in lower extremity computed tomography venography(CTV).Methods Forty patients with lower extremity CTV examination were retrospectively selected.Gemstone spec-tral imaging(GSI)mode was used with a transient tube voltage of 80 kVp/140 kVp and tube current in GSI Assist mode.Group A(conventional group):70 keV combined with 40％ASIR-V mono-energy images,conventional display field of view(DFOV)inclu-ding both lower extremity.Group B(low keV group):50 keV combined with 50％ASIR-V mono-energy images,DFOV as in group A.Group C(low keV targeted reconstruction group):50 keV combined with 50％to 80％ASIR-V mono-energy images(10％interval,called as groups C1-C4),targeted reconstruction(small DFOV,covered one lower extremity with left and right femurs as the center).The CT and standard deviation(SD)values of the bilateral lower extremity veins were measured on each axial image and the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.Two observers scored the venous images and the sharpness of embolus display subjectively using a 5-point scale and Kappa test was used to examine the consistency.Results In terms of vein dis-play,the score of groups B and C was better than that of group A(P＜0.05).In terms of embolus display sharpness,the scores of large and small embolus in group C increased with the increase of ASIR-V percentage initially and then gradually decreased(P＜0.05).The scores in group C2 were the highest which were superior to the scores of group B and group A(P＜0.05).The CT values of each venous segment in groups B and C were higher than those in group A(P＜0.05).In groups C1 to C4,with the increasing weight of ASIR-V,the SNR and CNR increased gradually(P＜0.05),but slightly lower than those in group B(P＜0.05).Conclusion 50 keV targeted reconstruction techniques combined with 60％ASIR-V algorithm significantly improves the contrast of lower extremity veins and the embolus display sharpness,providing more accurate clinical imaging information.

Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm in low-dose deep inferior epigastric artery(DIEA)computed tomography angiography(CTA).Methods A total of 59 patients undergoing DIEA CTA were prospectively selected and randomly divided into two groups:group A(29 cases)and group B(30 cases).Group A was the conventional radiation dose group(tube voltage 120 kVp),the tube current was dose modulation 3,and the iterative reconstruction algo-rithm was Karl 5.Group B was the low radiation dose group(tube voltage 120 kVp),the tube current was dose modulation 2,with DLIR reconstruction algorithm,and four levels of DLIR(1-4)were reconstructed and labeled as groups B1 to B4.The mean tube current,vol-ume CT dose index(CTDIvol),and dose length product(DLP)of group A and group B were recorded,and the effective dose(ED)was calculated.The CT and standard deviation(SD)values of the external iliac artery and psoas major muscle were measured on axial images of each group,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.Two observers using double-blind method independently evaluated the DIEA on volume rendering(VR)and maximum intensity projection(MIP)images of each group using a 3-point scale,and a 5-point scale was used to evaluate the overall image quality on axial images.Results Compared with group A,the mean tube current and ED in group B were decreased by 39.33％and 44.09％,respectively(P＜0.05).With the increasing of DLIR level from groups B1 to B4,the SD value of the image gradually decreased,while SNR and CNR gradually increased(P＜0.05).The CNR in groups B3 and B4 was higher than that in group A(P＜0.05).The subjective scores of the two observers were consistent(Kappa value 0.779-0.889,P＜0.05),and there was no statistical significance between group A and group B in the perforating vessels from the DIEA,intramuscular course,and the point of emergence(P＞0.05).With the increase in DLIR level,the subjective score of the overall image quality from group B1 to group B4 showed a trend of first increasing and then decreasing,and the score of group B3 was the highest(4.50±0.51)points,which had no statistical significance compared with group A(4.45±0.51)points(P＞0.05).Conclusion DLIR can effectively reduce the radiation dose of the DIEA CT A scan and ensure the image quality,among which DLIR 3 is the recommended best reconstruction grade.

Objective To explore the effect of large reconstruction matrix(1 024× 1 024)combined with Karl iterative recon-struction algorithm on adrenal gland image quality and auto-segmentation in CT images.Methods Retrospective analysis was per-formed on 40 patients with adrenal gland CT enhancement.After scanning,the original data of venous phase images were reconstruc-ted and grouped.Group A was reconstructed using conventional 512X512 matrix combined with Karl 5;group B was reconstructed using 1 024X1 024 reconstruction matrix combined with Karl iterative reconstruction algorithm(level 5,7,9)of different levels,and was denoted as group B1-B3.Two radiologists assessed the display of adrenal glands,overall image quality,and auto-segmentation stability on a 5-point scale.The CT and standard deviation(SD)values of the adrenal gland and inferior vena cava in each group were measured.The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.The deep learning(DL)-based organ segmentation model was used to segment the adrenal glands of each group of reconstructed images.The Dice coefficients and the vol-ume difference rates were calculated.Results In terms of the display of adrenal glands,overall image quality,and auto-segmentation stability,group B2 had the highest score and was better than group A(P＜0.05).With the increase of Karl levels,the SD values of adrenal gland and inferior vena cava in group B gradually decreased(P＜0.05),SNR and CNR gradually increased(P＜0.05),and there was no significant difference between group B2 and group A in SD value,SNR and CNR(P＞0.05).Dice coefficients of all groups＞0.90.The volume difference rate of adrenal gland(both sides)in group B was less than 5％,which was lower than that in group A(P＜0.05).Conclusion The use of a 1 024 × 1 024 reconstruction matrix combined with Karl 7 is able to optimize the qual-ity of the adrenal gland images without compromising the segmentation accuracy of the adrenal gland images.

Objective To investigate the influence of spectral CT monochromatic imaging technique on image quality and liver vol-ume measurement in computed tomography portal venography(CTPV).Methods A total of 120 patients who underwent contrast-enhanced abdominal CT examination were prospectively selected and randomly divided into group A and group B.The group A(n=60)was scanned with conventional parameters such as 120 kVp,Smart mA mode,and image reconstruction of 60％adaptive statistical iterative reconstruction-Veo(ASIR-V);while the group B(n=60)was with instantaneous switching 80/140 kVp,gemstone spectral imaging(GSI)Assist mode,and image reconstruction of 60％ASIR-V.In group B,six subgroups of images from 75 to 50 keV(with 5 keV interval)were recorded as subgroups B1 to B6.On the axial images,the CT values and standard deviation(SD)values of por-tal vein,liver and erector spinae were measured,and then the contrast-to-noise ratio(CNR)of portal vein and liver were calculated.The Liver Segmentation software was used to segment the liver in groups A and B,the liver volumes by automatic segmentation and manual segmentation(golden standard)were recorded,and then the volume difference rate was calculated.The overall image quality and automatic liver segmentation results were evaluated by two radiologists using a 5-point scale.Results In terms of overall image quality,subgroup B6 achieved the highest score and was superior to group A(P＜0.001).In terms of liver segmentation,subgroup B3 had the highest score and was superior to group A(P＜0.001).With the decrease of keV,the CT values,SD values and CNR of portal vein and liver in group B were gradually increased(P＜0.05),in which subgroup B6 was higher than that in group A(P＜0.001).The volume difference rate initially decreased and then increased with the decrease of keV.Except for subgroups B2 and B3,the differences were statistically significant between other subgroups and group A(P＜O.001),and the subgroup B3 had the lowest volume difference rate.Conclusion Spectral CT monochromatic ima-ging technique has an influence on CTPV image quality and liver volume measurement.The 50 keV images are the best for displaying portal vein,and the automatic liver segmentation volume of 65 keV images is closest to the real liver volume.

Objective To explore the application value of 1 024×1 024 reconstruction matrix combined with iterative reconstruc-tion algorithm(Karl)in deep inferior epigastric artery(DIEA)computed tomography angiography(CTA).Methods A total of 40 patients who underwent DIEA CTA were prospectively selected and the original data were reconstructed by grouping.Group A was reconstructed using a conventional 512×512 matrix combined with Karl 5 grade.Group B was reconstructed using 1 024×1 024 recon-struction matrix combined with Karl 5,7,and 9 grades,respectively,and 3 subgroups B1-B3 were obtained.The CT and standard devia-tion(SD)values of the external iliac artery and psoas major muscle were measured on axial images,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.A 3-point scale was used to evaluate the perforating vessels from the DIEA,intramuscular course,point of emergence,superficial inferior epigastric artery(SIEA)and superficial inferior epigastric vein(SIEV)on volume ren-dering(VR)and maximum intensity projection(MIP)images by two observers,and a 5-point scale was used to evaluate the overall image quality on axial images.Results With the increase of Karl grade in groups B1 to B3,the SD value of the external iliac artery decreased gradually(P＜0.05),while SNR and CNR increased gradually(P＜0.05).The SD values of the external iliac artery in group B2 and group B3 were lower than those in group A(P＜0.05),and SNR and CNR were higher than those in group A(P＜0.05).There was a good consistency in the subjective evaluation between the two observers(Kappa values=0.773-0.872,P＜0.05).The perforating vessels from the DIEA,intramuscular course,point of emergence,SIEA and SIEV display and overall image quality subjective scores of group B2 and group B3 were better than those of group A(P＜0.05),and the scores of group B2 showed the greatest improvement.Conclusion The 1 024 × 1 024 reconstruction matrix combined with the Karl 7 reconstruction algorithm can optimize the image quality and improve the display of the DIEA and perforator microvessels.