BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

BACKGROUND: The contraction behaviors of cardiomyocytes (CMs), especially contraction synchrony, are crucial factors reflecting their maturity and response to drugs. A wider field of view helps to observe more pronounced synchrony differences, but the accompanied greater computational load, requiring more computing power or longer computational time. METHODS: We proposed a method that directly correlates variations in optical field brightness with cardiac tissue contraction status (CVB method), based on principles from physics and photometry, for rapid video analysis in wide field of view to obtain contraction parameters, such as period and contraction propagation direction and speed. RESULTS: Through video analysis of human induced pluripotent stem cell (hiPSC)-derived CMs labeled with green fluorescent protein (GFP) cultured on aligned and random nanofiber scaffolds, the CVB method was demonstrated to obtain contraction parameters and quantify the direction and speed of contraction within regions of interest (ROIs) in wide field of view. The CVB method required less computation time compared to one of the contour tracking methods, the LucasKanade (LK) optical flow method, and provided better stability and accuracy in the results. CONCLUSION This method has a smaller computational load, is less affected by motion blur and out-of-focus conditions, and provides a potential tool for accurate and rapid analysis of cardiac tissue contraction synchrony in wide field of view without the need for more powerful hardware.

Objective To analyze the literature related to diphenidol tablets poisoning,the characteristics of poisoning were summarized to provide reference for controlling the suicidal abuse risk of diphenidol tablets.Methods The global literature on suicide,overdose,poisoning,shock,and death related to difenidol published from January 1,2011 to December 31,2022 was analyzed,including gender,age,dosage,cardiac(blood)concentration,poisoning symptoms,etc.Results Young women were the majority of people with poisoning.The highest proportion of the age group is 11 to 30 years group.Patients who take medication doses greater than 3 000 mg may have a higher risk of death;patients with a heart(blood)concentration greater than 6 μg·mL-1 may have a higher risk of death.Malignant arrhythmia,consciousness disorders,coma,and apnea are common serious adverse events during poisoning.Conclusion It is recommended that the drug regulatory authorities should require the Listing permit holder of difenidol tablets to add the risk and symptoms of poisoning into the instructions.It is suggested that restricting individual consumers from purchasing large amounts of difenidol tablets in the short term.It is recommended that canceling the high-dose sales packaging of difenidol tablets.It is suggested that converting difenidol tablets into prescription drugs,even consider canceling the registration certificate of difenidol tablets.

Objective To investigate the clinical effect of modified suspension reduction method combined with percuta-neous vertebroplasty in the treatment of osteoporotic thoracolumbar compression fractures.Methods From February 2020 to October 2021,92 patients with thoracolumbar osteoporotic compression fracture were treated by percutaneous vertebroplasty.According to different treatment methods,they were divided into the observation group and the control group.The observation group was treated with modified suspension reduction and then percutaneous vertebroplasty,while the control group was treated with percutaneous vertebroplasty alone.The observation group(47 cases),including 20 males and 27 females,the age ranged from 59 to 76 years old with an average of(69.74±4.50)years old,fractured vertebral bodies:T10(2 cases),T11(7 cases),T12(19 cases),L1(14 cases),L2(5 cases);the control group(45 cases),including 21 males and 24 females,the age ranged from 61 to 78 years old with an average of(71.02±3.58)years old,fractured vertebral bodies:T10(3 cases),T11(8 cases),T12(17 cas-es),L1(12 cases),L2(5 cases);The leakage of bone cement were observed,the visual analogue scale(VAS),Oswestry lumbar dysfunction index(ODI),anterior vertebrae height(AVH),Cobb angle of kyphosis and the amount of bone cement injected before and after operation were recorded and compared between the two groups.Results All patients were followed up,ranged from 6 to1O with an average of(8.45±1.73)months.Two patients ocurred bone cement leakage in observation group and 3 pa-tients in control group.AVH of observation group increased(P＜0.05)and Cobb angle of injured vertebrae decreased(P＜0.05).Cobb angle of injured vertebrae and AVH of the control group were not significantly changed(P＞0.05).Cobb angle of injured vertebrae of the observation group was lower than that of control group(P＜0.05)and AVH was higher than that of the control group(P＜0.05).In the observation group,VAS before operation and 1 week,3 and 6 months after operation respective-ly were(7.32±1.05)scores,(3.56±1.18)scores,(1.83±0.67)scores,(1.27±0.34)scores,and ODI were(40.12±14.69)scores,(23.76±10.19)scores,(20.15±6.39)scores,(13.45±3.46)scores.In the control group,VAS before operation and 1 week,3 and 6 months after operation respectively were(7.11±5.26)scores,(3.82±0.68)scores,(1.94±0.88)scores,(1.36± 0.52)scores,and ODI were(41.38±10.23)scores,(25.13±14.22)scores,(20.61±5.82)scores,(14.55±5.27)scores.The scores of VAS and ODI after operation were lower than those before operation(P＜0.05),but there was no significant difference between the two groups(P＜0.05).Conclusion Modified suspension reduction method combined with PVP surgery for osteo-porotic thoracolumbar compression fractures has achieved good clinical results,which can effectively relieve lumbar back pain,restore vertebral height,correct kyphosis,improve lumbar function and patients'quality of life.

Objective To construct an artificial intelligence assisted diagnosis model based on deep learning for dynamically recognizing gastric lesions and their locations under gastroscopy in real time,and to evaluate its ability to detect and recognize gastric lesions and their locations.Methods The gastroscopy videos of 104 patients in our hospital was retrospectively analyzed,and the video frames were manually annotated.The annotated picture frames of lesion category were divided into the training set and the validation set according to the ratio of 8∶2,and the annotated picture frames of location category were divided into the training set and the validation set according to the patient sources at the ratio of 8∶2.These sets were utilized for training and validating the respective models.YoloV4 model was used for the training of lesion recognition,and ResNet152 model was used for the training of location recognition.The accuracy,sensitivity,specificity,positive predictive value,negative predictive value and location recognition accuracy of the auxiliary diagnostic model were evaluated.Results A total of 68 351 image frames were annotated,with 54 872 frames used as the training set,including 41 692 frames for lesion categories and 13 180 frames for location categories.The validation set consisted of 13 479 frames,comprising 10 422 frames for lesion categories and 3 057 frames for location categories.The lesion recognition model achieved an overall accuracy of 98.8%,with a sensitivity of 96.6%,specificity of 99.3%,positive predictive value of 96.3%,and negative predictive value of 99.3% in validation set.Meanwhile,the location recognition model demonstrated an top-5 accuracy of 87.1% .Conclusion The artificial intelligence assisted diagnosis model based on deep learning for real-time dynamic recognition of gastric lesions and their locations under gastroscopy has good ability in lesion detection and location recognition,and has great clinical application prospects.

This study was aimed at understanding the pollution distribution pattern of avian influenza virus in the environ-ment in poultry related places in Shandong Province,to provide a scientific basis for the prevention,control,prediction,and early warning regarding human infection with avian influenza.From 2020 to 2023,6 523 environmental samples were collected in 16 cities in Shandong Province from four types of poultry-related places.Fluorescence quantitative PCR was used for nucleic acid testing of influenza A virus.Positive samples were further identified for the H5,H7,and H9 subtypes of avian influenza virus.The epidemiological characteristics of avian influenza viruses in the poultry related environment of Shandong Province were described,and inter-rate comparisons were performed with the x2 test.During 2020-2023,6 523 environmental samples were collected,and 1 007 cases positive for avian influenza virus were detected,with a positivity rate of 15.44％.H5,H7,and H9 subtypesand mixed infections were detected.H9 was the main subtype(88.48％)in positive specimens.A significant difference in positivity rates was observed among regions(x2=431.956,P＜0.001),and the highest positivity rate was 28.93％.Significant differences in positivity rates were observed among monitoring sites(x2=304.604,P＜0.001),sample types(x2=109.678,P＜0.001),and quarters(x2=64.963,P＜0.001).The positive detection rate was highest at monitoring sites in urban and rural live poultry markets(20.12％),and the positive detection rate of samples collected by wiping meat cut-ting board surfaces was higher than that of other samples(22.56％).The peak positive detection rate occurred in spring(20.31％).Widespread contamination with avian influenza virus was observed in poultry environments in Shandong Prov-ince.The H9 subtype,the main pathogen,coexisted with H5 and H7 subtypes,thus posing a risk of human infection with avian influenza.Therefore,prevention and control of avian influenza must be strengthened in key seasons,areas,places,and links.

Objective:To study the correlation between the number of hemophagocytes and peripheral blood cells in bone marrow of patients with fever of unknown origin.Methods:A total of 465 patients with fever of unknown origin in our hospital from January 2019 to December 2021 were selected as the research objects,which was to reviewed retrospectively the correlation between the number of hemophagocytes and peripheral blood cells in bone marrow.Results:The positive rates of hemophagocytes detected in the three lines decreased group,the two lines decreased group,the one line decreased group,normal group of the three lines and at least one of the three lines increased group were 86.4％,62.1％,38.3％,34.6％and 33.3％,respectively.The number of hemophagocytes per unit area in the three lines decreased group was significantly higher than that in the other four groups(P＜0.001).The number of hemophagocytes per unit area in the two lines decreased group was higher than that in the one line decreased group,normal group of three lines and at least one of the three lines increased group(P＜0.01).There was no significant difference in the number of hemophagocytes per unit area between the group with a decreased number of one line and the other two groups with a normal number of three lines and the group with at least one increased number of three lines(P＞0.05).The missed rates of hemophagocytes in the five groups were 15.78％,22.03％,62.22％,77.78％and 53.84％,respectively.Conclusion:For patients with fever of unknown origin,especially those with obvious decrease in the number of three lines and two lines in peripheral blood cells,which should pay attention to the detection of hemophagocytes in bone marrow.Meanwhile,if the number of three lines was normal even at least one of the three lines increased,the presence of hemophagocytes in the bone marrow slice should be also carefully observed.