A Time Series Short-Term Prediction Method Based on Multi-Granularity Event Matching and Alignment

Accurate forecasting of time series is crucial across various domains.Many prediction tasks rely on effectively segmenting,matching,and time series data alignment.For instance,regardless of time series with the same granularity,segmenting them into different granularity events can effectively mitigate the impact of varying time scales on prediction accuracy.However,these events of varying granularity frequently intersect with each other,which may possess unequal durations.Even minor differences can result in significant errors when matching time series with future trends.Besides,directly using matched events but unaligned events as state vectors in machine learning-based prediction models can lead to insufficient prediction accuracy.Therefore,this paper proposes a short-term forecasting method for time series based on a multi-granularity event,MGE-SP(multi-granularity event-based short-termprediction).First,amethodological framework for MGE-SP established guides the implementation steps.The framework consists of three key steps,including multi-granularity event matching based on the LTF(latest time first)strategy,multi-granularity event alignment using a piecewise aggregate approximation based on the compression ratio,and a short-term prediction model based on XGBoost.The data from a nationwide online car-hailing service in China ensures the method’s reliability.The average RMSE(root mean square error)and MAE(mean absolute error)of the proposed method are 3.204 and 2.360,lower than the respective values of 4.056 and 3.101 obtained using theARIMA(autoregressive integratedmoving average)method,as well as the values of 4.278 and 2.994 obtained using k-means-SVR(support vector regression)method.The other experiment is conducted on stock data froma public data set.The proposed method achieved an average RMSE and MAE of 0.836 and 0.696,lower than the respective values of 1.019 and 0.844 obtained using the ARIMA method,as well as the values of 1.350 and 1.172 obtained using the k-means-SVR method.

Joint Biomedical Entity and Relation Extraction Based on Multi-Granularity Convolutional Tokens Pairs of Labeling

Extracting valuable information frombiomedical texts is one of the current research hotspots of concern to a wide range of scholars.The biomedical corpus contains numerous complex long sentences and overlapping relational triples,making most generalized domain joint modeling methods difficult to apply effectively in this field.For a complex semantic environment in biomedical texts,in this paper,we propose a novel perspective to perform joint entity and relation extraction;existing studies divide the relation triples into several steps or modules.However,the three elements in the relation triples are interdependent and inseparable,so we regard joint extraction as a tripartite classification problem.At the same time,fromthe perspective of triple classification,we design amulti-granularity 2D convolution to refine the word pair table and better utilize the dependencies between biomedical word pairs.Finally,we use a biaffine predictor to assist in predicting the labels of word pairs for relation extraction.Our model(MCTPL)Multi-granularity Convolutional Tokens Pairs of Labeling better utilizes the elements of triples and improves the ability to extract overlapping triples compared to previous approaches.Finally,we evaluated our model on two publicly accessible datasets.The experimental results show that our model’s ability to extract relation triples on the CPI dataset improves the F1 score by 2.34%compared to the current optimal model.On the DDI dataset,the F1 value improves the F1 value by 1.68%compared to the current optimal model.Our model achieved state-of-the-art performance compared to other baseline models in biomedical text entity relation extraction.

The impact of short-term changes in sleeping and eating patterns on glucometabolic health and gut microbiota in healthy young adults: a proof-of-concept controlled feeding study

Epidemiological studies showed that night workers are at higher risk of developing chronic metabolic diseases.However,no study has investigated the changes in circadian rhythms caused by a combined effect of sleep and diet in a real-life setting on cardiometabolic health,gut microbiota,and psychological status in healthy people.A 4-week step-wise misaligned-realigned controlled-feeding trial with a 2×2 factorial design(sleep and diet)was conducted on healthy young adults.At first,subjects experienced a one-week circadian rhythm misalignment with a high-fat fast-food diet,extended eating window,and delayed sleep schedules,then gradually transited to a complete circadian rhythm realignment with a high-fiber balanced diet,8-h timerestricted eating,and normal sleep schedules.Circadian rhythm misalignment led to significantly higher levels of fasting glucose and homeostatic model assessment for insulin resistance(HOMA-IR)of subjects compared to baseline and failed to recover to the baseline level in circadian rhythm realignments.Notably,the incremental area under the curve(iAUC)of postprandial glucose decreased with circadian rhythm adjustments as compared to that in circadian rhythm misalignment,suggesting circadian rhythm realignment by sleep or/and diet could partly restore glucose metabolism impaired by a short-term circadian rhythm misalignment.However,circadian rhythm changes did not result in overall perturbations of gut microbiota diversities.

Multi-Granularity Neighborhood Fuzzy Rough Set Model on Two Universes

The two universes multi-granularity fuzzy rough set model is an effective tool for handling uncertainty problems between two domains with the help of binary fuzzy relations. This article applies the idea of neighborhood rough sets to two universes multi-granularity fuzzy rough sets, and discusses the two-universes multi-granularity neighborhood fuzzy rough set model. Firstly, the upper and lower approximation operators are defined in the two universes multi-granularity neighborhood fuzzy rough set model. Secondly, the properties of the upper and lower approximation operators are discussed. Finally, the properties of the two universes multi-granularity neighborhood fuzzy rough set model are verified through case studies.

Research on Public Engineering Emergency Decision-Making Based on Multi-Granularity Language Information

To effectively deal with fuzzy and uncertain information in public engineering emergencies,an emergency decision-making method based on multi-granularity language information is proposed.Firstly,decision makers select the appropriate language phrase set according to their own situation,give the preference information of the weight of each key indicator,and then transform the multi-granularity language information through consistency.On this basis,the sequential optimization technology of the approximately ideal scheme is introduced to obtain the weight coefficient of each key indicator.Subsequently,the weighted average operator is used to aggregate the preference information of each alternative scheme with the relative importance of decision-makers and the weight of key indicators in sequence,and the comprehensive evaluation value of each scheme is obtained to determine the optimal scheme.Lastly,the effectiveness and practicability of the method are verified by taking the earthwork collapse accident in the construction of a reservoir as an example.

Regulation of sleep by astrocytes in the hypothalamic ventrolateral preoptic nucleus

Astrocytes are functionally dynamic cells that support neurons in multiple ways throughout an organism’s lifespan.The astrocytic regulation of neuronal activity has been increasingly recognized in recent years.Astrocytes are now recognized as playing a more complex role than mere bystanders in the central nervous system.However,their role in regulating the sleep neurocircuitry is not well understood.From this perspective,we highlight the role of astrocytes in sleep modulation,with a particular focus on regulatory mechanisms related to the ventrolateral preoptic nucleus(VLPO)of the hypothalamus.We briefly discuss recent literature reporting the role of VLPO astrocytes in regulating sleep-associated behaviors.

A Method for Determining the Importance of Critical Emergency Indicators Based on Multi-granularity Uncertain Language

In view of the complexity of emergencies and the subjectivity of decision-makers,a method of determining key emergency indicators based on multi-granularity uncertainty language is proposed.Firstly,decision members use preferred uncertain language phrases to represent the importance of each key indicator and use transformation functions to carry out the consistent transformation of this multi-granularity uncertain language information.Secondly,the group evaluation vector is obtained by using the extended weighted average operator of uncertainty,and then the weight vector of each key index is obtained by using the decision theory of uncertain language.Finally,an example is given to verify the practicability and effectiveness of the proposed method.

Persistent alterations in gray matter in COVID-19 patients experiencing sleep disturbances:a 3-month longitudinal study

Sleep disturbances are among the most prevalent neuropsychiatric symptoms in individuals who have recovered from severe acute respiratory syndrome coronavirus 2 infections.Previous studies have demonstrated abnormal brain structures in patients with sleep disturbances who have recovered from coronavirus disease 2019(COVID-19).However,neuroimaging studies on sleep disturbances caused by COVID-19 are scarce,and existing studies have primarily focused on the long-term effects of the virus,with minimal acute phase data.As a result,little is known about the pathophysiology of sleep disturbances in the acute phase of COVID-19.To address this issue,we designed a longitudinal study to investigate whether alterations in brain structure occur during the acute phase of infection,and verified the results using 3-month follow-up data.A total of 26 COVID-19 patients with sleep disturbances(aged 51.5±13.57 years,8 women and 18 men),27 COVID-19 patients without sleep disturbances(aged 47.33±15.98 years,9 women and 18 men),and 31 age-and gender-matched healthy controls(aged 49.19±17.51 years,9 women and 22 men)were included in this study.Eleven COVID-19 patients with sleep disturbances were included in a longitudinal analysis.We found that COVID-19 patients with sleep disturbances exhibited brain structural changes in almost all brain lobes.The cortical thicknesses of the left pars opercularis and left precuneus were significantly negatively correlated with Pittsburgh Sleep Quality Index scores.Additionally,we observed changes in the volume of the hippocampus and its subfield regions in COVID-19 patients compared with the healthy controls.The 3-month follow-up data revealed indices of altered cerebral structure(cortical thickness,cortical grey matter volume,and cortical surface area)in the frontal-parietal cortex compared with the baseline in COVID-19 patients with sleep disturbances.Our findings indicate that the sleep disturbances patients had altered morphology in the cortical and hippocampal structures during the acute phase of infection and persistent changes in cortical regions at 3 months post-infection.These data improve our understanding of the pathophysiology of sleep disturbances caused by COVID-19.

Decoding the nexus:branched-chain amino acids and their connection with sleep,circadian rhythms,and cardiometabolic health

The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and,either directly or indirectly,overall body health,encompassing metabolic and cardiovascular well-being.Given the heightened metabolic activity of the brain,there exists a considerable demand for nutrients in comparison to other organs.Among these,the branched-chain amino acids,comprising leucine,isoleucine,and valine,display distinctive significance,from their contribution to protein structure to their involvement in overall metabolism,especially in cerebral processes.Among the first amino acids that are released into circulation post-food intake,branched-chain amino acids assume a pivotal role in the regulation of protein synthesis,modulating insulin secretion and the amino acid sensing pathway of target of rapamycin.Branched-chain amino acids are key players in influencing the brain's uptake of monoamine precursors,competing for a shared transporter.Beyond their involvement in protein synthesis,these amino acids contribute to the metabolic cycles ofγ-aminobutyric acid and glutamate,as well as energy metabolism.Notably,they impact GABAergic neurons and the excitation/inhibition balance.The rhythmicity of branchedchain amino acids in plasma concentrations,observed over a 24-hour cycle and conserved in rodent models,is under circadian clock control.The mechanisms underlying those rhythms and the physiological consequences of their disruption are not fully understood.Disturbed sleep,obesity,diabetes,and cardiovascular diseases can elevate branched-chain amino acid concentrations or modify their oscillatory dynamics.The mechanisms driving these effects are currently the focal point of ongoing research efforts,since normalizing branched-chain amino acid levels has the ability to alleviate the severity of these pathologies.In this context,the Drosophila model,though underutilized,holds promise in shedding new light on these mechanisms.Initial findings indicate its potential to introduce novel concepts,particularly in elucidating the intricate connections between the circadian clock,sleep/wake,and metabolism.Consequently,the use and transport of branched-chain amino acids emerge as critical components and orchestrators in the web of interactions across multiple organs throughout the sleep/wake cycle.They could represent one of the so far elusive mechanisms connecting sleep patterns to metabolic and cardiovascular health,paving the way for potential therapeutic interventions.

转座子Sleeping Beauty和PiggyBac

近10年来,得益于转座子Sleeping Beauty(SB)和PiggyBac(PB)的发现和完善,转座子作为一种遗传工程工具在脊椎动物的基因遗传研究中得到广泛应用.SB和PB宿主范围极其广泛,从单细胞生物到哺乳动物都能够发挥作用.转座过程需要转座序列和转座酶的存在,类似于"剪切"、"粘贴"的方式.转座子载体系统转座时可携带一段外源DNA序列,利用这一特性可以用于实现目的基因的转移,现已广泛用于转基因动物、基因功能研究、基因治疗等领域.当转座系统与基因捕获技术相结合,不仅可研究插入突变基因的功能,还能通过所携带的报告基因获得捕获基因的表达图谱.作为非病毒载体的SB和PB转座系统,由于具有高容量、高效率和高安全性等优势,并且PB在转座后不留任何足迹,不会造成遗传物质的不可预测改变,在动物基因工程以及基因治疗方面具有诱人的前景.

Group Size and Composition of Black-and-White Snub-nosed Monkey (Rhinopithecus bieti) Estimated by Faecesof Sleeping Sites at Baima Snow Mountain

This study was designed to introduce a new method of estimating group size and composition of black-andwhite snub-nosed monkeys （Rhinopithecus bieti ） on the basis of faecal amount at sleeping sites at Mt. Baima Nature Reserve. The monkeys spend nights in the form of one-male, multi-female units （OMUs） and all-male units （AMU）, and their faecal pellets can be classified into three categories： adult males （the largest）, adult females （moderate） and immatures （the smallest） based on their size. Total pellets were counted under sleeping trees used for two nights at Nanren village （99°04′E, 28°34′N, northwest of Yunnan Province, China） in each of four seasons in 2000- 2001. Moreover, data on group composition were collected when the monkeys were passing through an open gully in November 2001. Since the number of adults in OMUs shows a positive significant correlation with the amount of pellets amount in each season, the mean number of feces produced per night per individual is the slope of the regression lines. Thus, group size and composition can be relatively reliably and accurately estimated by the faeces under trees compared with the previous methods of estimation, including the use of monkeys＇ activities and tracks such as broken branches on steep slopes, in deep gorges and under lower visibility. The use of pellets for population estimates displayed 9.4% deviation in regards to population size of adult females. Some causes of the bias were also discussed. The method might be applicable to other monkey groups of this species if their habitats and main foods are similar to those of the study group.

Sleeping Beauty转座酶转基因小鼠模型的建立

目的建立表达Sleeping Beauty(SB)转座酶转基因小鼠模型,为研究SB转座子在小鼠中的应用提供工具动物。方法利用人的泛素C启动子驱动SB转座酶基因的表达,利用显微注射方法建立C57BL/6J表达SB转座酶的转基因小鼠。PCR鉴定首建鼠的基因型,Western Blot(WB)和免疫组织化学(IHC)检测SB转座酶基因在小鼠生殖腺睾丸中的表达情况,筛选睾丸中高表达SB转座酶的转基因小鼠。结果通过显微注射方式产生了4只首建小鼠,其中3只能稳定传代,利用WB和IHC成功的筛选出一株在睾丸中高表达SB转座酶的转基因小鼠。结论成功建立了睾丸组织中高表达SB转座酶转基因小鼠动物模型,为将SB转座子应用于建立基因修饰小鼠模型提供非常重要的工具动物。

Multi-granularity spatial-temporal access control model for web GIS

The multi-granularity spatial-temporal-related access control（MSTAC） model was proposed to meet the spatial access control requirements for the service-oriented spatial data infrastructure（SDI）. MSTAC extends the attribute constraints of role-based access control（RBAC）, which includes the user＇s location attribute, the role＇s time constraint, the layer vector constraint of a map class, the scale and time constraints of a geographic layer, the topological constraints of geographic features, the semantic attribute expression constraints of geographic features, and the field constraint of feature views. Through this model, authorized users would be limited to access different granularity spatial datasets, such as the map granularity, the graphic layer granularity, the feature object granularity and the feature view granularity. Finally, the MSTAC model is achieved in a web GIS, which shows the positive and negative authorizations to different services in different data granularities and time periods.

精子特异性Sleeping Beauty转座酶转基因小鼠模型的建立

目的建立精子特异性表达Sleeping Beauty(SB)转座酶转基因小鼠模型,为研究SB转座子在小鼠中的应用提供工具。方法克隆精子特异性启动子用以驱动SB转座酶基因的表达,建立精子特异性表达SB转座酶的载体,利用显微注射方法建立以C57BL/6J为背景的精子特异性表达SB转座酶的转基因小鼠。PCR鉴定首建鼠的基因型,western blot(WB)和免疫组织化学(IHC)检测SB转座酶基因在小鼠生殖腺睾丸中的表达情况,筛选睾丸中高表达SB转座酶的转基因小鼠。结果显微注射方式获得了5只首建小鼠,其中3只能稳定传代,利用WB和IHC成功的筛选出一株在精子中高表达SB转座酶的转基因小鼠。结论成功建立了精子特异性高表达SB转座酶转基因小鼠模型,为将SB转座子作为一种基因工程工具应用于小鼠基因修饰模型的建立提供非常重要的工具资源。

SLEEP-MAD模式护理策略在结直肠癌病人术后护理中的应用

目的:探讨SLEEP-MAD模式护理策略在结直肠癌病人术后护理中的应用价值。方法:2022年5月—2023年5月选取医院收治的86例结直肠癌病人为研究对象,按照随机数字表法将病人分为观察组、对照组各43例,对照组行常规护理,观察组实施SLEEP-MAD模式护理策略,干预前后采用汉密尔顿焦虑量表(HAMA)、汉密尔顿抑郁量表(HAMD)、视觉模拟疼痛评分表(VAS)、匹兹堡睡眠质量指数量表(PSQI)、癌因性疲乏评分及欧洲癌症研究与治疗组织生命质量量表(EORTC QLQ-C30)评价病人的不良情绪、疼痛感、癌因性疲乏、睡眠质量及生活质量。结果:干预后观察组病人HAMA、HAMD、VAS、PSQI及癌因性疲乏评分低于对照组(P<0.05);干预后观察组病人EORTC QLQ-C30评分高于对照组(P<0.05)。结论:SLEEP-MAD模式护理策略可有效减轻结直肠癌病人焦虑及抑郁情绪,减轻病人术后疼痛感及癌因性疲乏,改善病人睡眠质量及生活质量。

一种包含转座子Sleeping Beauty和PiggyBac的新型多功能载体的构建

DNA转座子作为一种遗传学工具对脊椎动物的转基因、突变体产生、癌基因发现和基因治疗方面都有巨大的贡献.目前,哺乳动物中应用最为广泛、活性最高的DNA转座子为重构于鲑鱼的Sleeping Beauty(SB)转座子和来源于甘蓝蠖度尺蛾(cabbage looper moth Trichoplusia ni)的PiggyBac(PB)转座子.本研究中,我们成功构建了包含PB和SB两种转座子的杂合转座载体,命名为PBSBD.在杂合转座载体中融入了基因捕获框及loxp/Frt元件,用以实现转座过程中的基因捕获和条件性敲除.在HepG2细胞中通过检测报告基因的表达情况及阳性克隆的定位,对构建的杂合转座载体PBSBD进行了活性的初步验证.结果表明,PBSBD能够有效被2种转座酶识别,并能检测到报告基因的表达.本研究所构建的杂合转座载体PBSBD结合2种转座酶,可以应用于大规模筛选突变基因和研究基因功能.并且该杂合转座载体还可以利用SB转座酶的邻近转座特性,结合载体内所包含的loxp/Frt元件用以邻近区域DNA片段的条件性敲除,研究大片段DNA在生物体中的作用.

Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network for Visible-Infrared Person Re-Identification

Visible-infrared Cross-modality Person Re-identification(VI-ReID)is a critical technology in smart public facilities such as cities,campuses and libraries.It aims to match pedestrians in visible light and infrared images for video surveillance,which poses a challenge in exploring cross-modal shared information accurately and efficiently.Therefore,multi-granularity feature learning methods have been applied in VI-ReID to extract potential multi-granularity semantic information related to pedestrian body structure attributes.However,existing research mainly uses traditional dual-stream fusion networks and overlooks the core of cross-modal learning networks,the fusion module.This paper introduces a novel network called the Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network(ADMPFF-Net),incorporating the Multi-Granularity Pose-Aware Feature Fusion(MPFF)module to generate discriminative representations.MPFF efficiently explores and learns global and local features with multi-level semantic information by inserting disentangling and duplicating blocks into the fusion module of the backbone network.ADMPFF-Net also provides a new perspective for designing multi-granularity learning networks.By incorporating the multi-granularity feature disentanglement(mGFD)and posture information segmentation(pIS)strategies,it extracts more representative features concerning body structure information.The Local Information Enhancement(LIE)module augments high-performance features in VI-ReID,and the multi-granularity joint loss supervises model training for objective feature learning.Experimental results on two public datasets show that ADMPFF-Net efficiently constructs pedestrian feature representations and enhances the accuracy of VI-ReID.

Sleeping Beauty转座子介导敲低PEX2转基因载体的构建

目的借助Sleeping Beauty(SB)转座系统在小鼠肝脏中稳定过表达原癌基因MYC诱导小鼠肝癌形成,并在SB转座子pT3EF1α-c-Myc基础上构建可在小鼠体内敲低PEX2的重组转基因载体。方法借助水动力法尾静脉注射(Hydrodynamic tail vein injection,HTVI)和SB转座子系统向小鼠肝脏导入携带目的基因MYC的转座子质粒,诱导小鼠肝癌形成。以载体为模板,分别扩增U6-shNC、U6-shPEX2序列,通过T4连接获得目标载体pT3EF1α-c-MycshNC、pT3EF1α-c-Myc-shPEX2。结果 (1)实验组小鼠成功诱导出肝癌。(2)经酶切和测序等方法鉴定,构建质粒完全正确。(3)细胞瞬时转染实验质粒pT3EF1α-c-Myc-shPEX2及其对照质粒pT3EF1α-c-Myc-shNC,确定在小鼠肝癌细胞Hepa1-6中实验组质粒可以降低PEX2的mRNA水平。结论借助HTVI技术和SB转座系统过表达c-Myc成功诱导小鼠肝癌形成,并在SB转座子质粒pT3EF1a-c-Myc基础上构建了可在小鼠肝癌细胞Hepa1-6中敲低PEX2基因的重组转基因载体。

Correlation between blood pressure changes and AMS, sleeping quality and exercise upon high-altitude exposure in young Chinese men

Background: Excessive elevation of arterial blood pressure(BP) at high altitude can be detrimental to our health due to acute mountain sickness(AMS) or some AMS symptoms. This prospective and observational study aimed to elucidate blood pressure changes induced by exposure to high-altitude hypoxia and the relationships of these changes with AMS prevalence, AMS severity, sleep quality and exercise condition in healthy young men.Methods: A prospective observational study was performed in 931 male young adults exposed to high altitude at 3,700 m(Lhasa) from low altitude(LA, 500 m). Blood pressure measurement and AMS symptom questionnaires were performed at LA and on day 1, 3, 5, and 7 of exposure to high altitude. Lake Louise criteria were used to diagnose AMS. Likewise, the Athens Insomnia Scale(AIS) and the Epworth Sleepiness Scale(ESS) were filled out at LA and on day 1, 3, and 7 of exposure to high altitude.Results: After acute exposure to 3,700 m, diastolic blood pressure(DBP) and mean arterial blood pressure(MABP) rose gradually and continually(P【0.05). Analysis showed a relationship with AMS for only MABP(P【0.05) but not for SBP and DBP(P】0.05). Poor sleeping quality was generally associated with higher SBP or DBP at high altitude, although inconsistent results were obtained at different time(P【0.05). SBP and Pulse BP increased noticeably after high-altitude exercise(P【0.05).Conclusions: Our data demonstrate notable blood pressure changes under exposure to different high-altitude conditions: 1) BP increased over time. 2) Higher BP generally accompanied poor sleeping quality and higher incidence of AMS. 3) SBP and Pulse BP were higher after high-altitude exercise. Therefore, we should put more effort into monitoring BP after exposure to high altitude in order to guard against excessive increases in BP.

Sleeping on an Anti-Wrinkle Pillow Reduces Facial Wrinkles: Results from an Anatomical Study

Background: A special pillow was designed to redistribute mechanical stress during sleeping in order to slow down the formation of facial skin wrinkles. Objective: To investigate whether sleeping on a specially designed pillow reduces facial skin wrinkles. Participants and Methods: A 28-day pilot study was carried out in which fifteen healthy female volunteers aged 23 - 55 years (mean age 35. 6 ± 8.5) slept on an antiwrinkle pillow. Evaluation of facial wrinkles was conducted before commencing the study (T0), following at 14 days (T14), and at 28 days (T28) when the study ended. Wrinkle density was assessed by computerized analysis of 2D images of participants’ faces. Results: A statistically significant decrease in wrinkle density was detected while smiling around both eyes, around the right eye in a relaxed facial expression, on average in all observed facial areas, around the left periorbital area in participants who predominantly slept on their left side of the body, but not on the frontal area. Limitations: A 3D camera could be used to better visualize and analyze wrinkle density. Conclusions: Sleeping on the specially designed pillow reduces facial wrinkles.