Background The Inner Mongolia Autonomous Region is a vast area with a wide array of ecological environments, resulting in considerable regional variations in air pollution characteristics. Current research is limited by a scarcity of systematic, region-wide studies and risk assessments. Objective To assess the health risks associated with inhalation exposure to nine heavy metal and metalloid elements in atmospheric fine particulate matter (PM_2.5) for the population of the Inner Mongolia Autonomous Region. Methods From the 10th to the 16th of each month throughout 2023, atmospheric PM_2.5 samples were collected at designated monitoring sites in 12 leagues (cities) across the Inner Mongolia Autonomous Region to analyze the characteristics and trends in concentration. The health risk assessment model developed by the United States Environmental Protection Agency was employed to evaluate both the non-carcinogenic and carcinogenic risks associated with the heavy metal elements beryllium (Be), cadmium (Cd), chromium (Cr), hydrargyrum (Hg), plumbum (Pb), manganese (Mn), and nickel (Ni) and the metalloid elements stibium (Sb) and arsenic (As). Results In 2023, a total of 1206 valid PM_2.5 samples were analyzed from the Inner Mongolia Autonomous Region. The annual average PM_2.5 concentrations in Inner Mongolia, as well as in the cities of Ordos, Wuhai, and the Alxa League, all exceeded the national limit of 35 μg·m⁻³. The PM_2.5 concentrations across the leagues (cities) exhibited a clear seasonal variation, peaking in winter, followed by spring, and reaching a minimum in summer and autumn. The median PM_2.5 concentration in Ordos throughout the year was higher than that in the other leagues (cities) of the region. Concerning health risks, the non-carcinogenic risks associated with the 9 elements detected in each league (city) were all below 1, indicating acceptable levels. However, the non-carcinogenic risk values for Mn, Cr, and As were relatively high; specifically, Ordos City displayed the highest non-carcinogenic risk values for Mn (7.74×10⁻¹) and Cr (2.97×10⁻²), while Chifeng City recorded the highest value for As (2.34×10⁻³). The carcinogenic risk values for As, Cd, Cr, and Ni fell within the range of 1×10⁻⁹ to 1×10⁻⁵, representing an acceptable level. The health risks varied with age, and the elderly residents faced the highest non-carcinogenic and carcinogenic health risks. Conclusion While the carcinogenic and non-carcinogenic risks from heavy metals and metalloids within atmospheric PM_2.5 in the Inner Mongolia Autonomous Region are generally within acceptable limits, the potential risks that Mn, As, and Cr pose to the health of elderly people warrants particular attention, and Ordos and Chifeng cities exhibit notably higher health risks among other areas. It is recommended that regular, long-term monitoring be conducted, taking into account the specific conditions at monitoring sites across each league (city), and that targeted air quality management strategies be implemented to protect public health.

Objective To observe the value of synthetic MRI(SyMRI)MAGnetic resonance image Compilation(MAGiC)sequence parameters for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.Methods Sixty-six patients with pathologically confirmed cervical cancer were retrospectively enrolled and divided into cervical squamous cell carcinoma group(n=56)and cervical adenocarcinoma group(n=10).Quantitative MAGiC parameters were collected and compared between groups,and those being significantly different were combined to construct a logistic regression model.The performance of each parameter alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results In cervical adenocarcinoma group,lesions's T1 and T2 were higher,while R1 and R2 were lower than those in cervical squamous cell carcinoma group(all P＜0.05).No statistically significant difference of proton density was found between groups(P＞0.05).The AUC of T1,T2,R1,R2 alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was 0.959,0.945,0.961,0.942 and 0.996,respectively,and no significant difference was found between each two ones(Z=0.267 to 1.396,all P＞0.05).Conclusion SyMRI had high value for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.

Objective To observe the value of synthetic MRI(SyMRI)MAGnetic resonance image Compilation(MAGiC)sequence parameters for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.Methods Sixty-six patients with pathologically confirmed cervical cancer were retrospectively enrolled and divided into cervical squamous cell carcinoma group(n=56)and cervical adenocarcinoma group(n=10).Quantitative MAGiC parameters were collected and compared between groups,and those being significantly different were combined to construct a logistic regression model.The performance of each parameter alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was evaluated with receiver operating characteristic(ROC)curve and the area under the curve(AUC).Results In cervical adenocarcinoma group,lesions's T1 and T2 were higher,while R1 and R2 were lower than those in cervical squamous cell carcinoma group(all P＜0.05).No statistically significant difference of proton density was found between groups(P＞0.05).The AUC of T1,T2,R1,R2 alone and their combination for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma was 0.959,0.945,0.961,0.942 and 0.996,respectively,and no significant difference was found between each two ones(Z=0.267 to 1.396,all P＞0.05).Conclusion SyMRI had high value for differentiating cervical squamous cell carcinoma and cervical adenocarcinoma.

Objective:To analyze the current development status and spatial distribution characteristics of traditional Chinese medicine (TCM) hospitals in China, predict the changing trends of the number of TCM hospitals, the number of beds, and the number of physicians, and provide references for the development of TCM hospitals and the formulation of related policies.Methods:From the official websites of the National Bureau of Statistics and the State Administration of Traditional Chinese Medicine, the total population and number of TCM hospitals of 31 provinces (excluding China′s Hong Kong, Macao, and Taiwan) in China from 2013 to 2022 were included, as well as the number of beds and practicing (assistant) physicians in TCM hospitals from 2013 to 2021. The grey prediction model was applied to predict the changing trends of the number of TCM hospitals, beds and physicians. Using the global Moran′s I index in spatial autocorrelation analysis, the distribution of TCM hospitals per 10 000 people in China was analyzed by spatial correlation analysis, and local G coefficient was analyzed by local hot spots.Results:From 2013 to 2027, the number of TCM hospitals, beds and practicing (assistant) TCM physicians in China all showed an increasing trend year by year. The number of TCM hospitals per 10 000 people in China showed a spatial correlation between 2013 and 2022 ( P<0.05). The hot spots of TCM hospitals were mainly concentrated in North China and Northeast China, while the cold spots were mainly concentrated in southeast coastal areas and Northwest China. Conclusions:The number of TCM hospitals in China is increasing year by year, but it is necessary to control the reasonable increase and avoid blind expansion. It is necessary to formulate regional policies of TCM hospitals according to local conditions and pay attention to the individuation of policies. Focus on hot and cold areas to promote balanced development of TCM hospitals.

Objective To explore the quantitative electroencephalography(qEEG)characteristics of the prefrontal cortex in patients with mild cognitive impairment(MCI)during digital screening tasks for MCI screening.Methods A total of 592 MCI patients(MCI group)and 317 normal cognitively elderly individuals(control group)were recruited from 40 communities in Nanjing,Jiangsu Province,from July to August,2024.All participants were as-sessed using Montreal Cognitive Assessment-Beijing Version(MoCA-BJ).Prefrontal EEG data were collected using a portable EEG device,and power spectral analysis was performed via Fast Fourier Transform.An XG-Boost algorithm was employed to construct an MCI identification model based on qEEG power features,and the model's performance was evaluated using receiver operating characteristic(ROC)curve.Results Compared with the control group,prefrontal δ,α,and β band power increased during screening tasks in MCI group(P<0.05);δ power was negatively correlated with MoCA-BJ total scores,and visuospatial/executive func-tion,attention and delayed recall scores(r=-0.269,-0.169,-0.133,-0.171,P<0.001);α power was negative-ly correlated with MoCA-BJ total scores,attention and delayed recall scores(r=-0.113,-0.075,-0.091,P<0.05).The XGBoost model based on δ and α power was excellent in MCI identification,with an area under the curve of 0.91,accuracy of 0.81,precision of 0.89,F1 score of 0.84,recall of 0.80,and specificity of 0.81.Conclusion MCI patients exhibit increased power in the prefrontal δ and α frequency bands during digital screening tasks,which is associated with cognitive decline.An XGBoost model based on qEEG power features can enable early prediction of MCI.

Objective:To analyze the current development status and spatial distribution characteristics of traditional Chinese medicine (TCM) hospitals in China, predict the changing trends of the number of TCM hospitals, the number of beds, and the number of physicians, and provide references for the development of TCM hospitals and the formulation of related policies.Methods:From the official websites of the National Bureau of Statistics and the State Administration of Traditional Chinese Medicine, the total population and number of TCM hospitals of 31 provinces (excluding China′s Hong Kong, Macao, and Taiwan) in China from 2013 to 2022 were included, as well as the number of beds and practicing (assistant) physicians in TCM hospitals from 2013 to 2021. The grey prediction model was applied to predict the changing trends of the number of TCM hospitals, beds and physicians. Using the global Moran′s I index in spatial autocorrelation analysis, the distribution of TCM hospitals per 10 000 people in China was analyzed by spatial correlation analysis, and local G coefficient was analyzed by local hot spots.Results:From 2013 to 2027, the number of TCM hospitals, beds and practicing (assistant) TCM physicians in China all showed an increasing trend year by year. The number of TCM hospitals per 10 000 people in China showed a spatial correlation between 2013 and 2022 ( P<0.05). The hot spots of TCM hospitals were mainly concentrated in North China and Northeast China, while the cold spots were mainly concentrated in southeast coastal areas and Northwest China. Conclusions:The number of TCM hospitals in China is increasing year by year, but it is necessary to control the reasonable increase and avoid blind expansion. It is necessary to formulate regional policies of TCM hospitals according to local conditions and pay attention to the individuation of policies. Focus on hot and cold areas to promote balanced development of TCM hospitals.

Objective To explore the quantitative electroencephalography(qEEG)characteristics of the prefrontal cortex in patients with mild cognitive impairment(MCI)during digital screening tasks for MCI screening.Methods A total of 592 MCI patients(MCI group)and 317 normal cognitively elderly individuals(control group)were recruited from 40 communities in Nanjing,Jiangsu Province,from July to August,2024.All participants were as-sessed using Montreal Cognitive Assessment-Beijing Version(MoCA-BJ).Prefrontal EEG data were collected using a portable EEG device,and power spectral analysis was performed via Fast Fourier Transform.An XG-Boost algorithm was employed to construct an MCI identification model based on qEEG power features,and the model's performance was evaluated using receiver operating characteristic(ROC)curve.Results Compared with the control group,prefrontal δ,α,and β band power increased during screening tasks in MCI group(P<0.05);δ power was negatively correlated with MoCA-BJ total scores,and visuospatial/executive func-tion,attention and delayed recall scores(r=-0.269,-0.169,-0.133,-0.171,P<0.001);α power was negative-ly correlated with MoCA-BJ total scores,attention and delayed recall scores(r=-0.113,-0.075,-0.091,P<0.05).The XGBoost model based on δ and α power was excellent in MCI identification,with an area under the curve of 0.91,accuracy of 0.81,precision of 0.89,F1 score of 0.84,recall of 0.80,and specificity of 0.81.Conclusion MCI patients exhibit increased power in the prefrontal δ and α frequency bands during digital screening tasks,which is associated with cognitive decline.An XGBoost model based on qEEG power features can enable early prediction of MCI.

Thirty refractory relapsed acute myeloid leukemia (R/R AML) patients who received salvage allo-HSCT with MeCBA conditioning regimen from January 2018 to June 2022 at Henan Cancer Hospital were included, and their clinical data were reviewed. There were 16 males and 14 females among the 30 patients with a median age of 37 (16-53) years. There were 3 sibling allograft donor transplants, 1 unrelated donor transplant, and 26 haplotype transplants. The median course of pre-transplant chemotherapy was 4 (3-22). The time of neutrophil engraftment was 14 (9-22) days and 18 (10-40) days for platelet. The 30-day cumulative incidence of neutrophil engraftment was 100% and the 100-day cumulative incidence of platelet engraftment was 96.7% (95% CI 85.4% -97.5% ). 22 (73.3% ) patients experienced grade 1-2 gastrointestinal reactions, and there was no grade 3-4 organ toxicity. With a median follow-up of 37.1 months, the overall survival (OS) rate, event-free survival (EFS) rate, cumulative recurrence rate (CIR), and non-recurrence mortality (NRM) rate at 3 years after transplantation were 70.0% (95% CI 50.3% -83.1% ), 65.3% (95% CI 44.8% -79.8% ), 21.2% (95% CI 9.2% -44.4% ) and 16.7% (95% CI 7.3% -35.5% ), respectively.

Objective:To evaluate the efficacy of esketamine combined with propofol for colonic transendoscopic enteral tubing (TET) in pediatric patients with autism.Methods:Sixty pediatric patients with autism of both sexes, aged 3-12 yr, weighing 15-45 kg, of American Society of Anesthesiologists Physical Status classification Ⅰ or Ⅱ, who underwent painless transendoscopic enteral tubing (TET) from October 2022 to August 2023, were selected and divided into 2 groups ( n=30 each) by a random number table method: normal saline + propofol group (group NP) and esketamine + propofol group (group EP). In group NP, normal saline 10 ml was intravenously injected, and 30 s later propofol 2.0 mg/kg was given. In group EP, esketamine 0.3 mg/kg (diluted to 10 ml in normal saline) was intravenously injected, and 30 s later propofol 2.0 mg/kg was given. TET was performed when the Modified Observer′s Assessment of Alertness/Sedation Scale score ≤2. Propofol 0.5-1.0 mg/kg was added if the sedation depth was not enough, and the Modified Observer′s Assessment of Alertness/Sedation Scale score was maintained ≤2 until the end of surgery. The degree of body movement during TET was observed and recorded. The injection pain during induction, total consumption of propofol, operation time, spontaneous emergence time, and completion of operation were recorded. Adverse reactions such as respiratory depression, nausea and vomiting, hypotension, bradycardia, and postoperative agitation were recorded during operation and in the emergence period. Results:Compared with group NP, the degree of intraoperative body movement was significantly lighter, the total consumption of propofol and incidence of injection pain and intraoperative hypotension were significantly lower, and no significant change was found in the spontaneous emergence time and incidence of adverse reactions during recovery in group EP ( P<0.05). Conclusions:Esketamine (0.3 mg/kg) combined with propofol (2.0 mg/kg) can be safely and effectively used for colonic TET in pediatric patients with autism, and esketamine does not increase the risk of adverse reactions during resuscitation in a resuscitation strategy without early awakening.

A method capable of retinal vessel segmentation and three-dimensional(3D)reconstruction is proposed for the early diagnosis of diabetic retinopathy.The 3D reconstruction can avoid the misjudgments of blood vessel length,curvature and branch angle after segmentation,which will affect the early diagnosis.IAAnet algorithm for retinal image segmentation combines traditional Unet with Inception V3,atrous spatial pyramid pooling and AttentionGates to reduce information loss and avoid over-fitting,thereby improving the network's ability to extract features.The projection reconstruction method is used to restore the 3D information of blood vessels,and supports the adjustments of brightness and contrast,so that doctors can better observe the real state of blood vessels.The proposed algorithm has an accuracy,recall rate,F1 score,intersection over union and area under ROC curve of 97.68%,96.07%,97.26%,92.79%and 94.00%,respectively.Compared with other networks,IAAnet algorithm exhibits higher segmentation accuracy,and can obtain more vascular information in 3D image after 3D projection reconstruction to assist in the early diagnosis.