Research on hsa-miR-155-3p and hsa-miR-155-5p as biomarkers for systemic sclerosis and their role in regulating biological behavior

Objective: This study was to investigate the role of hsa-miR-155-3p and hsa-miR-155-5p as biomarkers and regulators of biological behavior in Systemic Sclerosis. Methods: A total of 10 SSc patients and 10 healthy controls were selected for the study. The expression levels of hsa-miR-155-3p and hsa-miR-155-5p in peripheral blood mononuclear cells of SSc patients and healthy controls were measured using RT-qPCR. The diagnostic value of these miRNAs was explored using Receiver Operating Characteristic curve analysis. Pearson or Spearman correlation analysis was performed to assess the correlation between miRNAs and clinical indicators in SSc patients. Potential target genes of hsa-miR-155-3p and hsa-miR-155-5p were predicted using miRDB, Targetscan, and miRDIP databases. GO functional annotation, KEGG pathway enrichment analysis, protein-protein interaction network construction, and selection of central genes were conducted. Results: The expression levels of hsa-miR-155-3p and hsa- miR-155-5p were significantly higher in PBMCs of SSc patients compared to healthy controls (P<0.001). The ROC curve analysis showed that hsa-miR-155-3p and hsa-miR-155-5p had a high diagnostic value for SSc (AUC=1, P<0.001). Correlation analysis revealed that hsa- miR-155-3p, hsa-miR-155-5p, and clinical indicators such as high-resolution CT, neutrophil percentage, lymphocyte percentage, and albumin to globulin ratio were correlated (P<0.05). The signaling pathways enriched with target genes of hsa-miR-155-3p and hsa-miR-155- 5p were closely associated with the occurrence and development of SSc fibrosis, immunity, and inflammation. Conclusions: hsa-miR-155-3p and hsa-miR-155-5p may be involved in regulating the occurrence and development of SSc fibrosis, immunity, and inflammation. They have the potential to serve as biomarkers for clinical diagnosis and treatment of SSc.

Image Segmentation-P300 Selector: A Brain–Computer Interface System for Target Selection

Brain–computer interface (BCI) systems, such as the P300 speller, enable patients to express intentions withoutnecessitating extensive training.However, the complexity of operational instructions and the slow pace of characterspelling pose challenges for some patients. In this paper, an image segmentation P300 selector based on YOLOv7-mask and DeepSORT is proposed. The proposed system utilizes a camera to capture real-world objects forclassification and tracking. By applying predefined stimulation rules and object-specificmasks, the proposed systemtriggers stimuli associated with the objects displayed on the screen, inducing the generation of P300 signals in thepatient’s brain. Its video processing mechanism enables the system to identify the target the patient is focusing oneven if the object is partially obscured, overlapped, moving, or changing in number. The system alters the target’scolor display, thereby conveying the patient’s intentions to caregivers. The data analysis revealed that the selfrecognitionaccuracy of the subjects using this method was between 92% and 100%, and the cross-subject P300recognition precision was 81.9%–92.1%. This means that simple instructions such as “Do not worry, just focuson what you desire” effectively discerned the patient’s intentions using the Image Segmentation-P300 selector. Thisapproach provides cost-effective support and allows patients with communication difficulties to easily express theirneeds.

Fufang E’jiao Jiang’s effect on immunity,hematopoiesis,and angiogenesis via a systematic“compound-effect-target”analysis

Fufang E’jiao Jiang(FEJ)as a healthy food consisting of medicine food homology materials approved by China’s Ministry of Health has been extensively applied to replenish qi and nourish blood,and it has a positive impact on women’s health.To find out the material basis and mechanism of FEJ,a systematic“compoundeffect-target”analysis including chemical composition resolution,zebrafish,network pharmacology,molecular docking,transcriptome,and bibliometric analysis was adopted.124 chemical components including ginsenosides,and phenylethanoid glycosides in FEJ were discovered,and effects of FEJ on promoting the generation of immune cells,erythropoiesis and angiogenesis in zebrafish were exhibited.Based on network pharmacology,molecular docking and in vivo activity assay,6 compounds including jionoside A1,isoacteoside,echinacoside,acteoside,lobetyolin,and rehmannioside D were identified as active components of FEJ.Transcriptome data showed that several pathways such as complement and coagulation cascades,ECM-receptor interaction,and PI3K-Akt signaling pathway were associated with proangiogenic effect of FEJ.19 common targets were obtained through combined analysis of network pharmacology and transcriptomics,and 5 targets of them were verified by PCR.The bibliometric analysis of these common targets revealed that FEJ was related to energy metabolism,pathway in cancer,etc.,which was consistent with the results of network pharmacology and transcriptome.The studies suggested that FEJ could replenish qi and nourish blood through multi-compound and multi-targets.

Atmospheric nitrogen deposition affects forest plant and soil system carbon:nitrogen:phosphorus stoichiometric flexibility:A meta-analysis

Background:Nitrogen(N)deposition affects forest stoichiometric flexibility through changing soil nutrient availability to influence plant uptake.However,the effect of N deposition on the flexibility of carbon(C),N,and phosphorus(P)in forest plant-soil-microbe systems remains unclear.Methods:We conducted a meta-analysis based on 751 pairs of observations to evaluate the responses of plant,soil and microbial biomass C,N and P nutrients and stoichiometry to N addition in different N intensity(050,50–100,>100 kg·ha^(-1)·year^(-1)of N),duration(0–5,>5 year),method(understory,canopy),and matter(ammonium N,nitrate N,organic N,mixed N).Results:N addition significantly increased plant N:P(leaf:14.98%,root:13.29%),plant C:P(leaf:6.8%,root:25.44%),soil N:P(13.94%),soil C:P(10.86%),microbial biomass N:P(23.58%),microbial biomass C:P(12.62%),but reduced plant C:N(leaf:6.49%,root:9.02%).Furthermore,plant C:N:P stoichiometry changed significantly under short-term N inputs,while soil and microorganisms changed drastically under high N addition.Canopy N addition primarily affected plant C:N:P stoichiometry through altering plant N content,while understory N inputs altered more by influencing soil C and P content.Organic N significantly influenced plant and soil C:N and C:P,while ammonia N changed plant N:P.Plant C:P and soil C:N were strongly correlated with mean annual precipitation(MAT),and the C:N:P stoichiometric flexibility in soil and plant under N addition connected with soil depth.Besides,N addition decoupled the correlations between soil microorganisms and the plant.Conclusions:N addition significantly increased the C:P and N:P in soil,plant,and microbial biomass,reducing plant C:N,and aggravated forest P limitations.Significantly,these impacts were contingent on climate types,soil layers,and N input forms.The findings enhance our comprehension of the plant-soil system nutrient cycling mechanisms in forest ecosystems and plant strategy responses to N deposition.

Systematic functional interrogation of genome-wide association studies locus 17p13.3 deciphered role and genetic control of FAM57A in colorectal cancer development

Objective: Genome-wide association studies(GWAS) have identified over 150 risk loci linked to colorectal cancer(CRC), including the 17p13.3 locus with the tag single nucleotide polymorphism(SNP) rs12603526 in the Asian population. However, the specific causal gene and the functional regulatory mechanisms in this region remain unresolved, necessitating further investigation to elucidate the underlying mechanisms of CRC.Methods: We employed an RNA interference-based functional approach to identify genes critical for CRC cell proliferation at the GWAS locus 17p13.3. Bioinformatic fine-mapping analysis was conducted to prioritize causal variants. A large-scale study involving 7,013 cases and 7,329 controls from a Chinese population, along with another cohort of 5,158 cases and 20,632 controls from the UK Biobank, was performed to validate the association between the candidate variant and the gene. A series of biological experiments was conducted to explore the function of the candidate gene and its regulatory mechanisms.Results: We identified FAM57A as a key oncogene that promotes CRC cell proliferation, and confirmed its carcinogenic role through in vitro proliferation assays. The variant rs526835 was prioritized as a causal candidate for CRC risk, located in a functional region with enhancer properties, and showed a significant quantitative association with FAM57A expression. The rs526835 [T] variant was associated with a 1.17-fold increase in CRC risk [95%confidence interval(95% CI): 1.11-1.23, P=1.23×10^(−9)] in the large-scale Chinese cohort, which was further corroborated in the UK Biobank cohort. Mechanistically, we demonstrated that rs526835 enhances a promoterenhancer interaction mediated by the transcription factor JUN, leading to increased expression of FAM57A.Conclusions: We reveal the underlying mechanisms of CRC predisposition at the GWAS locus 17p13.3.Additionally, our findings highlight the critical role of FAM57A in CRC pathogenesis and introduce a novel enhancer-promoter interaction between FAM57A and rs526835, which could inform future precision prevention and personalized cancer therapies.

Virtual Keyboard:A Real-Time Hand Gesture Recognition-Based Character Input System Using LSTM and Mediapipe Holistic

In the digital age,non-touch communication technologies are reshaping human-device interactions and raising security concerns.A major challenge in current technology is the misinterpretation of gestures by sensors and cameras,often caused by environmental factors.This issue has spurred the need for advanced data processing methods to achieve more accurate gesture recognition and predictions.Our study presents a novel virtual keyboard allowing character input via distinct hand gestures,focusing on two key aspects:hand gesture recognition and character input mechanisms.We developed a novel model with LSTM and fully connected layers for enhanced sequential data processing and hand gesture recognition.We also integrated CNN,max-pooling,and dropout layers for improved spatial feature extraction.This model architecture processes both temporal and spatial aspects of hand gestures,using LSTM to extract complex patterns from frame sequences for a comprehensive understanding of input data.Our unique dataset,essential for training the model,includes 1,662 landmarks from dynamic hand gestures,33 postures,and 468 face landmarks,all captured in real-time using advanced pose estimation.The model demonstrated high accuracy,achieving 98.52%in hand gesture recognition and over 97%in character input across different scenarios.Its excellent performance in real-time testing underlines its practicality and effectiveness,marking a significant advancement in enhancing human-device interactions in the digital age.

Effects of Inoculation with Phosphate Solubilizing Bacteria on the Physiology,Biochemistry,and Expression of Genes Related to the Protective Enzyme System of Fritillaria taipaiensis P.Y.Li

Fritillaria taipaiensis P.Y.Li is a widely used medicinal herb in treating pulmonary diseases.In recent years,its wild resources have become scarce,and the demand for efficient artificial cultivation has significantly increased.This article is the first to apply phosphate solubilizing bacteria isolated from the rhizosphere soil of F.taipaiensis P.Y.Li to the cultivation process of F.taipaiensis P.Y.Li.The aim is to identify suitable reference strains for the artificial cultivation and industrial development of F.taipaiensis P.Y.Li by examining the effects of various phosphate solubilizing bacteria and their combinations on photosynthesis,physiological and biochemical properties,and gene expression related to the protective enzyme system in F.taipaiensis P.Y.Li.The experiment,conducted in pots at room temperature,included a control group(CK)and groups inoculated with inorganic phosphorussolubilizing bacteria:W1(Bacillus cereus),W2(Serratia plymuthica),W12(Bacillus cereus and Serratia plymuthica),and groups inoculated with organophosphorus-solubilizing bacteria:Y1(Bacillus cereus),Y2(Bacillus cereus),Y12(Bacillus cereus and Bacillus cereus),totaling seven groups.Compared to CK,most growth indices in the bacterial addition groups showed significant differences,with W12 achieving the highest values in all indices except the leaf area index.The content of photosynthetic pigments,photosynthetic parameters,and osmoregulatory substances increased variably in each bacterial treatment group.W12 exhibited the highest content of chlorophyll a and soluble protein,while W1 had the highest free proline content.The activities of peroxidase(POD),superoxide dismutase(SOD),and catalase(CAT)in all inoculated groups were higher than in CK,with significant changes in SOD and CAT activities.The malondialdehyde(MDA)content in all inoculated groups was lower than in CK,with Y12 being the lowest,at approximately 30%of CK.Gene expression corresponding to these three enzymes also increased variably,with POD expression in Y2 being the highest at 2.73 times that of CK.SOD and CAT expression in Y12 were the highest,at 1.84 and 4.39 times that of CK,respectively.These results indicate that inoculating phosphate solubilizing bacteria can enhance the growth of F.taipaiensis P.Y.Li,with the mixed inoculation groups W12 and Y12 demonstrating superior effects.This lays a theoretical foundation for selecting bacterial fertilizers in the cultivation process of F.taipaiensis P.Y.Li.

Does Smoking Weaken the Immune System: A Narrative Review

Smoking has a complex impact on the immune system, affecting both innate and adaptive immunity. It can exacerbate pathogenic immune responses and attenuate defensive immunity, leading to a higher susceptibility to infections and certain diseases. The chemicals in cigarette smoke, such as nicotine and carbon monoxide, can alter immune cell functions and inflammatory responses. Smoking can also have long-term effects on the immune system, with some changes persisting even after quitting [1]. According to a Penn Medicine Physician, the Medical Oncologist Dr. David Porter, “People who are smokers tend to get sicker from infections”, “It may be that smoking impacts the immune system’s ability to respond appropriately”. Thus, such individuals within smoking exposure history might be considered as immunocompromised due to the altered and weakened immune system. Cigarette smoking is a prevalent habit with far-reaching health implications. Among its many adverse effects, smoking significantly alters the immune system’s functionality [1].

PV Capacity Evaluation Using ASTM E2848: Techniques for Accuracy and Reliability in Bifacial Systems

A variety of test methodologies are commonly used to assess if a photovoltaic system can perform in line with expectations generated by a computer simulation. One of the commonly used methodologies across the PV industry is an ASTM E2848. ASTM E2848-13, 2023 test method provides measurement and analysis procedures for determining the capacity of a specific photovoltaic system built in a particular place and in operation under natural sunlight. This test method is mainly used for acceptance testing of newly installed photovoltaic systems, reporting of DC or AC system performance, and monitoring of photovoltaic system performance. The purpose of the PV Capacity Test and modeled energy test is to verify that the integrated system formed from all components of the PV Project has a production capacity that achieves the Guaranteed Capacity and the Guaranteed modeled AEP under measured weather conditions that occur when each PV Capacity Test is conducted. In this paper, we will be discussing ASTM E2848 PV Capacity test plan purpose and scope, methodology, Selection of reporting conditions (RC), data requirements, calculation of results, reporting, challenges, acceptance criteria on pass/fail test results, Cure period, and Sole remedy for EPC contractors for bifacial irradiance.

System Assimilation of E-Skills in Tertiary Institutions to Empower Graduates in South Africa

The value of system assimilation is to improve working relationships between tutors and learners while increasing workflow efficiency among tertiary institutions with low operational costs. E-skills could be described as electronic education development, to assist ICT professionals to reach their future career goals and aim to help users boost their ICT skills. In a society that is expanding, it is also a crucial issue to take into account. Researchers have turned their attention to this topic because of its significance and contribution to the empowerment of graduates in digital education. Many scholars have proposed many methods for integrating e-skills into society with impressive results, but the rising rate of graduate unemployment in South Africa is gradually becoming a big worry in our society. A model based on Activity Theory (AT) and e-skills will be developed in our tertiary institution to equip graduates with skills that will increase their employability and provide more individualized work opportunities as part of this study’s effort to solve this issue. With the use of the Statistical Package for the Social Sciences (SPSS) and Cronbach’s Alpha for validity and reliability testing, the study will create an experimental performance to assess the approach taken to measure e-skills in tertiary institutions to empower graduates in South Africa. The study established that system development and e-skilled models for tertiary institutions are growing gradually, especially in South African institutions, that empower graduates with profitable employability with experiences to improve work operation in the industries. In conclusion, system development and e-skills are very demanding but important to empower graduate employability to determine competency in the professional workforce.

Security Vulnerability Analyses of Large Language Models (LLMs) through Extension of the Common Vulnerability Scoring System (CVSS) Framework

Large Language Models (LLMs) have revolutionized Generative Artificial Intelligence (GenAI) tasks, becoming an integral part of various applications in society, including text generation, translation, summarization, and more. However, their widespread usage emphasizes the critical need to enhance their security posture to ensure the integrity and reliability of their outputs and minimize harmful effects. Prompt injections and training data poisoning attacks are two of the most prominent vulnerabilities in LLMs, which could potentially lead to unpredictable and undesirable behaviors, such as biased outputs, misinformation propagation, and even malicious content generation. The Common Vulnerability Scoring System (CVSS) framework provides a standardized approach to capturing the principal characteristics of vulnerabilities, facilitating a deeper understanding of their severity within the security and AI communities. By extending the current CVSS framework, we generate scores for these vulnerabilities such that organizations can prioritize mitigation efforts, allocate resources effectively, and implement targeted security measures to defend against potential risks.

Research and Practice of the P.E. Information Teaching Design System

In this paper, the physical education information teaching design system is researched and developed based on VB6.0 optimization platform. According to the national physical education and health course standards and the fundamental theories of the constructivisrn, the author adopts the modular-design development method to design two functional areas which are the displaying of the teaching design contents and the online information database （nine modules in total） on the basis of the P.E. teaching design flow. Importantly, this system features the compatibility, scalability and practical applicability, and can effectively improve the ability of P.E. teachers to design their teaching, and hence provides a guarantee for the improvement of teaching quality and efficiency.

清肾颗粒对大鼠NRK-52E细胞转分化模型miR-23b和PINK1/Parkin通路的影响

目的 探讨TGF-β1诱导大鼠NRK-52E细胞转分化模型中miR-23b对PINK1/Parkin通路的靶向调节机制,并阐明清肾颗粒含药血清对NRK-52E细胞转分化的干预机理。方法 采用超高效液相色谱(UPLC)指纹图谱法对清肾颗粒进行全指纹图谱分析。构建TGF-β1诱导大鼠NRK-52E细胞转分化模型,转染siRNA后分为模拟物空载对照组、miR-23b-5p模拟物组、抑制剂空载对照组、miR-23b-5p抑制剂组,观察miR-23b-5p对PINK1表达量的影响。再将NRK-52E细胞分组为正常组、TGF-β1组、清肾颗粒组、miR-23b-mimic-NC组、miR-23b-mimic组、miR-23b-mimic+清肾颗粒组,Western blot法检测NRK-52E细胞中Pink1、Parkin、LC3Ⅱ、Beclin-1、P62、α-SMA蛋白表达,RT-qPCR法检测NRK-52E细胞中miR-23b-5p、Pink1、Parkin、Beclin-1、α-SMA mRNA的表达,双荧光素酶报告基因实验检测miR-23b-5p与PINK1的靶向关系。结果 UPLC指纹图谱法鉴定出清肾颗粒中11个活性成分。miR-23b-5p过表达后,PINK1 mRNA表达量也显著增加(P<0.05);而miR-23b-5p表达沉默后,PINK1 mRNA表达量也显著减少(P<0.05)。双荧光素酶报告显示,Rno-miR-23b-5p能显著下调Rno-PINK1-WT荧光素酶活性(P<0.05),但未能下调突变Rno-PINK1-mut荧光素酶活性(P>0.05)。清肾颗粒含药血清干预实验发现,TGF-β1组的miR-23b-5p、Pink1、Parkin、Beclin-1、LC3Ⅱ表达及LC3Ⅱ/Ⅰ比值均明显低于正常组,P62和α-SMA表达明显高于正常组(P<0.05)。清肾颗粒组和miR-23b-mimic组的miR-23b-5p、Pink1、Parkin、Beclin-1、LC3Ⅱ表达及LC3Ⅱ/Ⅰ比值均明显高于TGF-β1组,P62和α-SMA表达明显低于TGF-β1组(P<0.05)。miR-23b-mimic+清肾颗粒组的表现更优于miR-23b-mimic组(P<0.05)。结论 清肾颗粒能够上调NRK-52E细胞内miR-23b-5p表达,并通过增强PINK1/Parkin通路介导的线粒体自噬活性,抑制NRK-52E细胞转分化进程。

希夏邦马峰地区始新世地壳加厚和隆升过程

中新世中期之前喜马拉雅山脉的隆升历史和深部动力机制,还存在极大的争议、缺乏基本的数据约束。喜马拉雅造山带核部高级变质岩的埋藏和折返过程可以约束地壳加厚和山脉隆升过程,但是现有的变质记录主要为渐新世晚期-中新世中期,始新世变质作用的分布范围、形成过程和地质意义仍然未被充分挖掘。本文首先厘定了希夏邦马峰(8027m)山体的基本岩石组成:下部为高喜马拉雅正/副片麻岩,上部为肉切村群变粒岩及贯入其中的淡色花岗岩席。进一步对1964年希夏邦马峰登山科考采集的眼球状片麻岩进行了变质作用相平衡模拟和独居石微区原位U-Th-Pb定年,确定了始新世变质记录的P-T-t演化轨迹:M1阶段中P/T型变质压力峰期,条件为~1.0GPa、~740℃(~22℃/km),变质年龄为~37Ma;后近等温降压至M2阶段低P/T型变质温度峰期,条件为0.5~0.4GPa、~760℃(45~57℃/km),变质年龄为~25Ma;在~18Ma左右冷却至固相线以下。希夏邦马峰~37Ma的中P/T型变质和地壳加厚事件与北喜马拉雅穹隆、高喜马拉雅主体、前陆飞来峰等地区的记录一致(40~37Ma,20~25℃/km),表明印度-亚洲初始碰撞约20Myr后中上地壳被堆叠埋藏至>33km以下,发生了广泛的整体性加厚和深熔作用。该事件与喜马拉雅内陆残留海最终退却的时间吻合,是喜马拉雅山脉初始隆升的诱因。喜马拉雅山脉不是晚新生代以来隆升的,而是经历了自始新世中期以来的长期地壳堆叠和隆升过程。

植物油活性物质在畜禽养殖中的应用研究进展

我国是植物油脂生产和消费大国,在油料加工中会产生大量植物油脱臭馏出物、油脚和皂脚等副产物。植物油加工副产物富含植物甾醇、天然维生素E和角鲨烯等活性物质,具有调节胆固醇代谢、抑菌、抗炎、抗氧化等生物学功能以及促进动物生长和提高畜产品品质等有益功效。因此,从植物油加工副产物中提取天然活性物质并进行饲料资源化研究与应用,有助于破解当前饲料开发和养殖产业面临的现实难题。本文围绕植物甾醇、天然维生素E和角鲨烯等植物油活性物质在畜禽生产中的最新研究报道,对其应用效果与作用机制进行分析,以期为动物健康养殖提供理论依据和实践指导。

电力P2P交易中计及社会福利的产消者合作联盟

随着分布式清洁能源发电技术的发展,传统电力用户逐渐转变为电能产消者,并可采用合作联盟形式参与电力P2P(peer to peer)交易,促进分布式清洁能源就地消纳。该文通过从源端和传输端分别核算碳减排量的方法,构建一类考虑经济效益和环境效益的社会福利函数,研究分布式电能产消者通过合作联盟形式实现社会福利最大化的途径。设计一种依据产消者对联盟社会福利贡献值分配合作剩余的机制,激励产消者合作的积极性以维持联盟的稳定。算例分析表明:相较于P2G(peer-to-grid)交易和非合作P2P交易,产消者以合作联盟方式参与电力P2P交易的社会福利分别提升了62.62%、33.79%。因此,以市场化的方式组建合作联盟参与电力P2P交易并合理分配利益,可挖掘分布式清洁能源就地消纳的潜力,促进能源消费的绿色低碳转型。

基于分形维数的高速铁路地震预警系统地震P波震相识别方法

为更好保障高速铁路的运营安全,高速铁路地震预警系统的实施十分必要。5级以下的小震事件占据地震事件的95%以上,提高高速铁路预警系统在小震震相识别的速度与精度能有效保障高铁安全运营。提出一种基于分形维数的地震震相识别算法,优化传统分形维数的计算方法,提高分形维数的计算速度。引入分形斜率曲线并划分为4个阶段,分析临界点的分形斜率特征,通过识别分形斜率极值时刻判断地震波精准到达时刻。提出的算法平均误差达到0.006 3 s,标准差达到0.043 8 s,满足高速铁路地震预警系统的时效性和准确度要求。

妊娠高血压疾病不良妊娠结局影响因素分析

目的探讨妊娠高血压疾病患者不良妊娠结局的影响因素。方法选取2020年4月至2022年6月东莞市人民医院收治的71例妊娠高血压疾病患者为研究对象,采用质谱法测定患者维生素A、D及E水平,对妊娠高血压疾病患者不良妊娠结局可能的影响因素进行单因素和多因素分析。结果71例妊娠高血压疾病患者经随访发现19例患者妊娠结局不良,52例患者妊娠结局良好。单因素结果显示,妊娠高血压疾病患者预后与年龄、孕产史、高血压家族史、不良孕史、超敏C反应蛋白(hs-CRP)、D-二聚体(D-D)、维生素D、总胆红素无关,差异无统计学意义(P>0.05);与孕前体重指数(BMI)、病情严重程度、血尿酸、24 h尿蛋白定量、维生素A、维生素E比较,差异有统计学意义(P<0.05);多因素logistic回归结果显示,孕前BMI(β=1.213,OR=3.582,95%CI=2.482~6.313)、病情严重程度(β=1.563,OR=6.413,95%CI=5.682~8.452)、血尿酸(β=1.456,OR=4.083,95%CI=3.235~4.572)、24 h尿蛋白定量(β=2.938,OR=1.434,95%CI=1.283~4.394)、维生素A(β=1.691,OR=1.593,95%CI=1.241~1.786)、维生素E(β=1.336,OR=1.246,95%CI=1.187~1.583)是妊娠高血压疾病患者不良预后的独立危险因素,差异有统计学意义(P<0.05)。结论维生素A、D及E水平在妊娠高血压疾病患者中表达异常,其表达水平能反映疾病严重程度,且患者不良妊娠结局受多种因素的影响,不同因素能相互作用及干预,应针对上述可控因素进行干预。

Intrusion Detection System Through Deep Learning in Routing MANET Networks

Deep learning(DL)is a subdivision of machine learning(ML)that employs numerous algorithms,each of which provides various explanations of the data it consumes;mobile ad-hoc networks(MANET)are growing in promi-nence.For reasons including node mobility,due to MANET’s potential to provide small-cost solutions for real-world contact challenges,decentralized management,and restricted bandwidth,MANETs are more vulnerable to security threats.When protecting MANETs from attack,encryption and authentication schemes have their limits.However,deep learning(DL)approaches in intrusion detection sys-tems(IDS)can adapt to the changing environment of MANETs and allow a sys-tem to make intrusion decisions while learning about its mobility in the environment.IDSs are a secondary defiance system for mobile ad-hoc networks vs.attacks since they monitor network traffic and report anything unusual.Recently,many scientists have employed deep neural networks(DNNs)to address intrusion detection concerns.This paper used MANET to recognize com-plex patterns by focusing on security standards through efficiency determination and identifying malicious nodes,and mitigating network attacks using the three algorithms presented Cascading Back Propagation Neural Network(CBPNN),Feedforward-Neural-Network(FNN),and Cascading-Back-Propagation-Neural-Network(CBPNN)(FFNN).In addition to Convolutional-Neural-Network(CNN),these primary forms of deep neural network(DNN)building designs are widely used to improve the performance of intrusion detection systems(IDS)and the use of IDS in conjunction with machine learning(ML).Further-more,machine learning(ML)techniques than their statistical and logical methods provide MANET network learning capabilities and encourage adaptation to differ-ent environments.Compared with another current model,The proposed model has better average receiving packet(ARP)and end-to-end(E2E)performance.The results have been obtained from CBP,FFNN and CNN 74%,82%and 85%,respectively,by the time(27,18,and 17 s).

修正磁化模型的多组分铁磁性颗粒运动研究

铁磁性颗粒因具有铁磁性被广泛应用于化工环保、生化工程和能源等各个领域,磁场具有的穿透性质,对于采用铁磁性颗粒的系统,可通过改变磁场控制系统内颗粒的运动状态.文章基于传统的磁化模型,采用相对参考系转换方法,提出了适用范围更广的修正P-E磁化模型,可以计算铁磁性颗粒在任意方向磁场作用下所受磁化力.通过有限体积法(FVM)与离散单元法(DEM)耦合进行数值模拟,验证了修正P-E磁化模型的精确性,并模拟多组分颗粒在磁场中的运动,对比了铁磁性颗粒与惰性颗粒在不同配比及不同磁场条件下的运动特性,对颗粒分布、颗粒速度矢量和颗粒总能量变化3个方面进行分析.结果表明:在多组分颗粒系统中,铁磁性颗粒依旧保持成链特性,但成链速度与长度降低;随着铁磁性颗粒占比提高,铁磁性颗粒初始能量增大,聚链数量与成链长度将有所增加,约束惰性颗粒能力增强;此外,施加水平与竖直方向磁场时,多组分颗粒系统达到稳定速度最快,可以通过增大铁磁性颗粒占比有效提升稳定速度,使系统更快趋于稳定;而施加含有倾角的磁场时,随着铁磁性颗粒占比升高,铁磁性颗粒达到稳定状态需要的时间逐渐降低,较难通过改变铁磁性颗粒占比缩短稳定所需时间.