The "integrated time-space" perspective of life in traditional Chinese medicine holds that structure and function respectively belong to the realms of space and time. The orderly integration of time and space not only supports the existence and development of life， but also serves as the foundation for biological evolution. Based on this standpoint， this paper proposes the spatiotemporal structural theory of visceral manifestation， characterized by the fusion of time and space， the integration of internal and external dimensions， and the absence of primary or secondary distinctions. Using the individual human body as the boundary， it delineates the man and nature spatiotemporal structure， based on the theory of the "correspondence between man and nature"， and the internal spatiotemporal structure of the living body. The man and nature spatiotemporal structure， with yin-yang and the five phases as its core， reveals the correspondence and connectivity between the external environment and the internal zang-fu organs within the spatiotemporal dimension. The internal temporal structure of the body refers to the collective physiological rhythms related to the zang-fu organs， while the spatial structure refers to the tangible forms， spatial positions， and connective structures of the zang-fu organs. The proposal of the spatiotemporal structural theory of visceral manifestation represents a rational reconstruction and practical exploration of the essential connotations of visceral manifestation， aiming to provide new perspectives for subsequent theoretical research and clinical applications.

Objective Electrocardiogram(ECG)signal quality degrades when the level of activity is high and motion artifacts are severe.Poor quality signals may result in false alarms,poor patient monitoring,imprecise measurement,and misleading diagnosis.The quantitative assessment of ECG signal quality forms the basis of automatic ECG noise reduction and heart disease diagnosis.Methods The ECG signal quality index(SQI)was obtained by statistically analyzing the heartbeat similarity and the slope character,respectively,namely rSQI and kSQI.Results Using MIT-BIH Noise Stress Test Database to test,both rSQI and kSQI decreased when the Signal Noise Ratio(SNR)decreased,which revealed the ECG signal quality.Based on the quasiperiodic property,the waveform similarity,as a beat-to-beat index,is obtained by cross correlation between two ECG cycles with high precision but heavy computation.Slope-based method dispenses with QRS detection and is very simple and real-time,but its sensitivity is lower than similarity-based method and it only get statistical data.Conclusion Both morphology similarity and slope character algorithms could provide objective estimation of ECG quality.Slope-based method is an attractive measure due to its simplicity and mathematical convenience,while similarity-based method is more accurate and robust for ECG quality assessment.

Objective To explore the role in sleep staging from blood volume pulse(BVP)and triaxial acceleration(ACC)of body movement obtained by wristband.Methods The BVP and ACC obtained by Empatica E4 wristband were used from all 100 cases of sleep disorder subjects in the DREAMT public database.Two frequency domain characteristics(eS,LF/HF)and one time domain characteristic(vA)of the BVP baseline and the activity counts(CS)of the ACC were used for sleep-awakening classification based on random forest.Results The results of sleep-awakening classification of all 100 cases of sleep disorder subjects were obtained by leaving-one-out strategy.The accuracy is 79.8%and the Kappa coefficient is 0.56 by 4 features from BVP and ACC;the accuracy is 70.4%and the Kappa coefficient is 0.36 by 3 features of BVP;the accuracy is 75.1%and the Kappa coefficient is 0.47 based on activity counts.Conclusion The BVP and ACC obtained by the wristband can be used for the rough estimation of sleep and awakening for sleep disorder subjects,among which the importance of ACC is higher than that of BVP.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Objective:To construct a prediction model for the clinical supply of blood components in Xi′an City from 2023 to 2025.Methods:Based on the blood supply data of the Blood Management Information System of Shaanxi Provincial Blood Center from January 2013 to December 2022, a gray prediction model and an exponential curve fitting model were used to construct the prediction model, and the optimal prediction model was determined according to the error parameters of the relevant indicators of the model. The supply of blood components in Xi′an from 2023 to 2025 was predicted.Results:The fitting equations of the exponential curve fitting model to predict the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were, x（1）（ t+1）=1.16e 0.04t， x（1）（ t+1）=1.04e 0.12t and x（1）（ t+1）=1.01e 1.10t, respectively. The mean absolute errors (mean relative errors) of the exponential curve fitting model in predicting the supply of suspended red blood cells, platelets and cryoprecipitate in Xi′an were 10 488.7 (0.05%), 2 114.9 (0.08%) and 3 089.6 (0.07%), respectively, which were lower than those of the gray prediction model, about 10 488.7 (3.44%), 2 152.78 (8.20%) and 3 441.35 (7.92%), respectively. The exponential curve fitting model predicted that the clinical supply of blood components in Xi′an would increase year by year from 2023 to 2025, and the clinical supply of suspended red blood cells, platelets, and cryoprecipitate in Xi′an would increase to 409 467 U, 69 818 therapeutic volume and 94 724 U, respectively by 2025. Conclusion:The exponential curve fitting model can make a good prediction of the clinical supply of blood components in Xi′an City.

Humans ; Parkinson Disease/diagnosis* ; Machine Learning

【Objective】 To explore the impact of the COVID-19 epidemic on platelets supply management and its countermeasures. 【Methods】 Relevant data on platelets collection, supply, daily inventory and adjustment were collected through the blood information management system of our blood center after the outbreak of the epidemic in Xi′an (from December 9, 2021 to February 2, 2022), and then compared with the data during the corresponding period of last year (from December 9, 2020 to February 2, 2021). 【Results】 In this study, in the first half month of the epidemic, the collection and supply of platelets were slightly higher than the same period of the previous year. After the first-level response to the epidemic was initiated, the collection and issuing of platelets decreased significantly compared with the same period of the previous year. Half a month after the home isolation had been gradually lifted, the collection and issuing of platelets increased significantly as compared with the home isolation period. Otherwise, the collection and issuing of platelets had been increased as compared with the same period of the previous year. 【Conclusion】 After the outbreak of the epidemic, the timely adjustment of platelet collection strategy as well as the launch of emergency plan for platelets collection and supply during the first-level response to the epidemic effectively ensured the supply of clinical platelets in Xi′an during the period of home isolation.

Objective:To preliminarily estimate and study the effect of nucleic acid testing in blood screening on the residual risk (RR) of transfusion transmitted HBV infection (TTI HBV).Methods:Using the NAT yield/WP ratio model and adopting the relevant data of information management system of practice comparison working party in the Mainland of China, this paper analyzed the trend of the RR of TTI HBV among 18 blood centers from 2015 to 2019 in China, and compared the impact of two kinds of blood screening strategies which were ELISA+ ID-NAT/MP-NAT (individual-donation nucleic acid testing or mini-pool nucleic acid testing) and ELISA + MP-NAT on RR in 2019.Results:The overall trends of the 5-year RR of HBV among 18 blood centers showed by trend chi square test were NAT single positive rate trend χ2= 39.42( P<0.01) and residual risk trend χ2= 279.792( P<0.01); The influence on RR from the differences of ELISA+ ID-NAT/MP-NAT and ELISA+ MP-NAT was statistically significant, and chi square test showed that χ2= 7.4( P<0.01). Conclusions:Since the implementation of nucleic acid testing in the blood screening in China from 2015, the residual risk of transfusion transmitted HBV infection has decreased year by year. The observed two blood screening strategies which dominated in China may lead to discrepancy in the residual risk of TTI.

The protection of language function is one of the major challenges of brain surgery. Over the past century, neurosurgeons have attempted to seek the optimal strategy for the preoperative and intraoperative identification of language-related brain regions. Neurosurgeons have investigated the neural mechanism of language, developed neurolinguistics theory, and provided unique evidence to further understand the neural basis of language functions by using intraoperative cortical and subcortical electrical stimulation. With the emergence of modern neuroscience techniques and dramatic advances in language models over the last 25 years, novel language mapping methods have been applied in the neurosurgical practice to help neurosurgeons protect the brain and reduce morbidity. The rapid advancements in brain-computer interface have provided the perfect platform for the combination of neurosurgery and neurolinguistics. In this review, the history of neurolinguistics models, advancements in modern technology, role of neurosurgery in language mapping, and modern language mapping methods (including noninvasive neuroimaging techniques and invasive cortical electroencephalogram) are presented.
Brain Mapping ; Brain Neoplasms ; Humans ; Language ; Neurosurgery ; Neurosurgical Procedures

Ischemic stroke is a severe disorder resulting from acute cerebral thrombosis. Here we demonstrated that post-ischemic treatment with ciclopirox olamine (CPX), a potent antifungal clinical drug, alleviated brain infarction, neurological deficits and brain edema in a classic rat model of ischemic stroke. Single dose post-ischemic administration of CPX provided a long-lasting neuroprotective effect, which can be further enhanced by multiple doses administration of CPX. CPX also effectively reversed ischemia-induced neuronal loss, glial activation as well as blood-brain barrier (BBB) damage. Employing quantitative phosphoproteomic analysis, 130 phosphosites in 122 proteins were identified to be significantly regulated by CPX treatment in oxygen glucose deprivation (OGD)-exposed SH-SY5Y cells, which revealed that phosphokinases and cell cycle-related phosphoproteins were largely influenced. Subsequently, we demonstrated that CPX markedly enhanced the AKT (protein kinase B, PKB/AKT) and GSK3 (glycogen synthase kinase 3) phosphorylation in OGD-exposed SH-SY5Y cells, and regulated the cell cycle progression and nitric oxide (NO) release in lipopolysaccharide (LPS)-induced BV-2 cells, which may contribute to its ameliorative effects against ischemia-associated neuronal death and microglial inflammation. Our study suggests that CPX could be a promising compound to reduce multiple ischemic injuries; however, further studies will be needed to clarify the molecular mechanisms involved.