Absent in melanoma 2 attenuates proliferation and migration and promotes apoptosis of human colorectal cancer cells by activating P38MAPK signaling pathway

Colorectal cancer(CRC)stands among the top prevalent cancers worldwide and holds a prominent position as a major contributor to cancer-related mortality globally.Absent in melanoma 2(AIM2),a constituent of the interferoninducible hematopoietic interferon-inducible nuclear antigens with 200 amino acid repeats protein family,contributes to both cancer progression and inflammasome activation.Despite this understanding,the precise biological functions and molecular mechanisms governed by AIM2 in CRC remain elusive.Consequently,this study endeavors to assess AIM2’s expression levels,explore its potential antitumor effects,elucidate associated cancer-related processes,and decipher the underlying signaling pathways in CRC.Our findings showed a reduced AIM2 expression in most CRC cell lines.Elevation of AIM2 levels suppressed CRC cell proliferation and migration,altered cell cycle by inhibiting G1/S transition,and induced cell apoptosis.Further research uncovered the participation of P38 mitogen-activated protein kinase(P38MAPK)in AIM2-mediated modulation of CRC cell apoptosis and proliferation.Altogether,our achievements distinctly underscored AIM2’s antitumor role in CRC.AIM2 overexpression inhibited proliferation and migration and induced apoptosis of CRC cells via activating P38MAPK signaling pathway,indicating AIM2 as a prospective and novel therapeutic target for CRC.

IR-YOLO: Real-Time Infrared Vehicle and Pedestrian Detection

Road traffic safety can decrease when drivers drive in a low-visibility environment.The application of visual perception technology to detect vehicles and pedestrians in infrared images proves to be an effective means of reducing the risk of accidents.To tackle the challenges posed by the low recognition accuracy and the substan-tial computational burden associated with current infrared pedestrian-vehicle detection methods,an infrared pedestrian-vehicle detection method A proposal is presented,based on an enhanced version of You Only Look Once version 5(YOLOv5).First,A head specifically designed for detecting small targets has been integrated into the model to make full use of shallow feature information to enhance the accuracy in detecting small targets.Second,the Focal Generalized Intersection over Union(GIoU)is employed as an alternative to the original loss function to address issues related to target overlap and category imbalance.Third,the distribution shift convolution optimization feature extraction operator is used to alleviate the computational burden of the model without significantly compromising detection accuracy.The test results of the improved algorithm show that its average accuracy(mAP)reaches 90.1%.Specifically,the Giga Floating Point Operations Per second(GFLOPs)of the improved algorithm is only 9.1.In contrast,the improved algorithms outperformed the other algorithms on similar GFLOPs,such as YOLOv6n(11.9),YOLOv8n(8.7),YOLOv7t(13.2)and YOLOv5s(16.0).The mAPs that are 4.4%,3%,3.5%,and 1.7%greater than those of these algorithms show that the improved algorithm achieves higher accuracy in target detection tasks under similar computational resource overhead.On the other hand,compared with other algorithms such as YOLOv8l(91.1%),YOLOv6l(89.5%),YOLOv7(90.8%),and YOLOv3(90.1%),the improved algorithm needs only 5.5%,2.3%,8.6%,and 2.3%,respectively,of the GFLOPs.The improved algorithm has shown significant advancements in balancing accuracy and computational efficiency,making it promising for practical use in resource-limited scenarios.

InGaZnO-based photoelectric synaptic devices for neuromorphic computing

Photoelectric synaptic devices could emulate synaptic behaviors utilizing photoelectric effects and offer promising prospects with their high-speed operation and low crosstalk. In this study, we introduced a novel InGaZnO-based photoelectric memristor. Under both electrical and optical stimulation, the device successfully emulated synaptic characteristics including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), long-term potentiation (LTP), and long-term depression (LTD). Furthermore, we demonstrated the practical application of our synaptic devices through the recognition of handwritten digits. The devices have successfully shown their ability to modulate synaptic weights effectively through light pulse stimulation, resulting in a recognition accuracy of up to 93.4%. The results illustrated the potential of IGZO-based memristors in neuromorphic computing, particularly their ability to simulate synaptic functionalities and contribute to image recognition tasks.

Differential expression of miRNAs and mRNAs in the livers of largemouth bass Micropterus salmoides under heat stress

Global warming threatens freshwater ecosystems and compromises fish survival.To elucidate the role of miRNAs in the livers of heat stressed largemouth bass,juvenile fish was subject to heat stress under 37°C.Both mRNA-seq and miRNA-seq were conducted on the liver tissues under control and heat stress conditions.Differential gene expression analysis and enrichment analysis were performed on mRNA and miRNA expression profiles.A total of 406 differentially expressed genes(DEGs)were discovered,of which 212 were up-regulated and 194 were down-regulated.Most of the DEGs were significantly implicated in the regulation of“protein processing in endoplasmic reticulum”,“proteasome”,“steroid biosynthesis”,and“ornithine decarboxylase inhibitor activity”pathways.In addition,47 differentially expressed miRNAs(DEMs)were identified in largemouth bass livers under heat stress,including 21 up-regulated and 25 down-regulated miRNAs.A negatively regulated miRNA-mRNA network including 12 miRNAs and 19 mRNAs was constructed with DEMs involved in“protein degradation”,“calcium ion regulation”,“cell apoptosis”,and“lipid metabolism”.Moreover,this study indicated novel-miR-144 activated the IRE1 signaling pathway by targeting txndc5 to induce liver apoptosis in largemouth bass under heat stress.This study revealed the involvement of miRNA regulation in largemouth bass in response to heat stress.

Recognition and management of stent malposition in the portal vein during endoscopic retrograde cholangiopancreatography:A case report

BACKGROUND Portal vein injury is an uncommon complication of endoscopic retrograde cholangiopancreatography(ERCP),for which stent malpositioning in the portal vein is very rare and can lead to fatal events.We report a case of biliary stent migration to the portal vein and a novel method for its safe removal under the guidance of portal angiography.Moreover,we reviewed the literature and summarized reports on the identification and management of this condition.CASE SUMMARY A 59-year-old woman with pancreatic cancer presented with abdominal pain and a high fever 20 days after the placement of two plastic biliary stents under the guidance of ERCP.Blood cultures and laboratory tests revealed sepsis,which was treated with antibiotics.A contrast-enhanced computed tomography scan revealed that one of the biliary stents in the main portal vein was malpositioned.To safely remove the stent,portal angiography was performed to visualize the portal vein and to allow the management of any bleeding.The two stents were removed without obvious bleeding,and an uncovered self-expanding metal stent was placed in the common bile duct for drainage.The patient had an uneventful 6-month follow-up period,except for self-resolving portal vein thrombosis.CONCLUSION The combination of endoscopic and angiographic techniques allowed uneventful management of stent malposition in the portal vein.

控制碘化铅形貌两步连续刮涂法大面积制备甲脒基钙钛矿薄膜

钙钛矿太阳能电池在实现高性能光伏器件方面展现出巨大的商业化应用前景,但面临着一个最主要的挑战是开发工业化规模生产的大面积高质量钙钛矿薄膜制备工艺。在本研究中,为解决大面积印刷难题,通过两步连续刮涂法制备甲脒基钙钛矿吸光层。两步法中第一步沉积的PbI_(2)很容易形成致密的薄膜,这将导致后续沉积的有机胺盐无法和PbI_(2)充分完全反应,在钙钛矿薄膜中残留PbI_(2),这会严重影响载流子的传输。为了实现理想的多孔PbI_(2)薄膜结构,我们通过在PbI_(2)前驱体溶液中引入四亚甲基亚砜(THTO)。通过形成PbI_(2)·THTO络合物,PbI_(2)的结晶过程被有效控制,易形成片状的PbI_(2)晶粒并沿着垂直基底方向上排列,得到了理想的纳米通道。这为后续的有机胺盐渗入提供了理想的纳米通道。最终5 cm×5 cm模组实现了18.65%的功率转化效率,并具有出色的存储和热稳定性。这一结果展现了两步连续刮涂法策略在制备大面积钙钛矿太阳能电池方面具备一定的优势。

Deep Learning Based Automatic Charging Identification and Positioning Method for Electric Vehicle

Electric vehicle charging identification and positioning is critically important to achieving automatic charging.In terms of the problem of automatic charging for electric vehicles,a dual recognition and positioning method based on deep learning is proposed.The method is divided into two parts:global recognition and localization and local recognition and localization.In the specific implementation process,the collected pictures of electric vehicle charging attitude are classified and labeled.It is trained with the improved YOLOv4 networkmodel and the corresponding detectionmodel is obtained.The contour of the electric vehicle is extracted by the BiSeNet semantic segmentation algorithm.The minimum external rectangle is used for positioning of the electric vehicle.Based on the location relationship between the charging port and the electric vehicle,the rough location information of the charging port is obtained.The automatic charging equipment moves to the vicinity of the charging port,and the camera near the charging gun collects pictures of the charging port.The model is detected by the Hough circle,the KM algorithmis used for featurematching,and the homography matrix is used to solve the attitude.The results show that the dual identification and location method based on the improved YOLOv4 algorithm proposed in this paper can accurately locate the charging port.The accuracy of the charging connection can reach 80%.It provides an effective way to solve the problems of automatic charging identification and positioning of electric vehicles and has strong engineering practical value.

Improved RRT^(∗)Algorithm for Automatic Charging Robot Obstacle Avoidance Path Planning in Complex Environments

A new and improved RRT∗algorithm has been developed to address the low efficiency of obstacle avoidance planning and long path distances in the electric vehicle automatic charging robot arm.This algorithm enables the robot to avoid obstacles,find the optimal path,and complete automatic charging docking.It maintains the global completeness and path optimality of the RRT algorithmwhile also improving the iteration speed and quality of generated paths in both 2D and 3D path planning.After finding the optimal path,the B-sample curve is used to optimize the rough path to create a smoother and more optimal path.In comparison experiments,the new algorithmyielded reductions of 35.5%,29.2%,and 11.7%in search time and 22.8%,19.2%,and 9%in path length for the 3D environment.Finally,experimental validation of the automatic charging of electric vehicles was conducted to further verify the effectiveness of the algorithm.The simulation experimental validation was carried out by kinematic modeling and building an experimental platform.The error between the experimental results and the simulation results is within 10%.The experimental results show the effectiveness and practicality of the algorithm.

Research and Application of Log Defect Detection and Visualization System Based on Dry Coupling Ultrasonic Method

In order to optimize the wood internal quality detection and evaluation system and improve the comprehensive utilization rate of wood,this paper invented a set of log internal defect detection and visualization system by using the ultrasonic dry coupling agent method.The detection and visualization analysis of internal log defects were realized through log specimen test.The main conclusions show that the accuracy,reliability and practicability of the system for detecting the internal defects of log specimens have been effectively verified.The system can make the edge of the detected image smooth by interpolation algorithm,and the edge detection algorithm can be used to detect and reflect the location of internal defects of logs accurately.The content mentioned above has good application value for meeting the requirement of increasing demand for wood resources and improving the automation level of wood nondestructive testing instruments.

甜玉米芯青贮对西门塔尔杂交肉牛生长性能、营养物质表观消化率及经济效益的影响

试验旨在研究甜玉米芯青贮对西门塔尔杂交肉牛生长性能、营养物质表观消化率及经济效益的影响,选择体重250 kg左右健康的西门塔尔杂交肉牛22头随机分为2组,其中试验A组粗饲料为全株玉米青贮+玉米秸秆,试验B组粗饲料为甜玉米芯青贮+玉米秸秆,试验期60 d。结果表明:B组平均日增重显著高于A组(P<0.05),料重比显著低于A组(P<0.05);B组中性洗涤纤维表观消化率显著高于A组(P<0.05);B组的头均日收益,比A组高7.96元。综上所述,饲喂甜玉米芯青贮的育肥效果和经济效益比饲喂全株玉米青贮好。

Vital Sign Signal Extraction Based on mmWave Radar

This research develops an algorithm for health monitoring and uses the Infineon BGT60TR13C shield 60GHz radar to build a set of software and hardware demonstration platforms for algorithm verification. The algorithm can monitor the position, breathing, heartbeat and other information of the elderly in real time, which is used to judge the health status of the elderly and improve the convenience for early warning and rescue of abnormal situations in time. However, limited by the transmission power of this radar and the number of transmitting and receiving antennas, the current detection range of the algorithm is relatively small, and the ability to distinguish between multiple persons is limited. This problem can be optimized by replacing other types of radars in the future.

急性心肌梗死后血浆可溶性生长刺激表达基因2蛋白与左心室重构的关系

目的探讨接受急诊经皮冠状动脉介入(percutaneous coronary intervention,PCI)治疗的急性心肌梗死(acute myocardial infarction,AMI)患者血浆可溶性生长刺激表达基因2(soluble growth stimulation expressed gene 2,sST2)蛋白与左心室结构和功能的关系。方法入选2017-06-01 ~ 2018-05-31南京市第一医院首次确诊AMI并行急诊PCI治疗患者92例,术后第5天采集患者血标本,根据血清sST2浓度水平将患者分为sST2升高组(sST2≥ 35 ng/mL)和sST2正常组(sST2 < 35 ng/mL),超声心动图评价患者左心室重构和心功能。结果 AMI患者PCI术后第5天血清sST2浓度升高患者的左心室舒张末内径(1eft ventricular end diastolic diammeter, LVEDD)、左心室舒张末容积(1eft ventricular end diastolic volume,LVEDV)和左心室质量指数(1eft ventricular mass index, LVMI)明显高于sST2 正常患者(P < 0.01或P < 0.05),左心室射血分数(1eft ventricular ejection fraction, LVEF)则明显低于sST2 正常组(P < 0.05),但两组氨基末端B型脑钠肽前体(N-terminal pro-brain natriuretic peptide,NT-proBNP)浓度并无统计学差异。sST2和高血压是左室重构的独立预测因素。结论血浆sST2浓度升高是AMI早期左心室偏心性重构的独立相关因素。

乙烯基MQ硅树脂对室温硫化硅橡胶泡沫隔热材料性能的影响

以α,ω-二羟基聚硅氧烷(SR-107)为基胶,甲基含氢硅油(PMHS)为发泡剂,空心玻璃微珠(HGB)为填料,在铂类催化剂及抑制剂的作用下发泡,制备了室温硫化硅橡胶(RTV)泡沫隔热材料。针对化学发泡制备的RTV泡沫隔热材料拉伸强度低的问题,以乙烯基MQ硅树脂(VMQS)作为改性剂进行补强。对改性后发泡反应所需PMHS和催化剂的用量进行确定,制备了SR-107与VMQS不同配比的RTV/VMQS泡沫隔热材料。通过测量导热系数、拉伸强度和热重分析等,对RTV/VMQS的隔热性能、力学性能和热稳定性能进行了表征。结果表明,VMQ的补强效果明显,拉伸强度比仅用SR-107为基胶时提高了2.60倍;RTV/VMQS具有较强的热稳定性,其初始热分解温度均在400~415℃之间。

胸腰椎结核不同手术入路临床疗效的对比

目的比较不同手术入路进行胸腰椎结核一期病灶清除、植骨融合、内固定的临床效果.方法通过对2004年1月-2019年1月137例胸腰椎结核患者根据病情需要采取前路、后路、前后路联合入路病灶清除、植骨融合、内固定术治疗,患者年龄11岁-74岁,平均37岁,前入路59例,后入路40例,前后联合入路38例.对三种不同手术入路手术时间、出血量、症状改善、术后融合情况进行比较.结果前、后入路方式治疗胸腰椎结核在手术时间、出血量方面差异无统计学意义(P>0.05),三种手术入路手术治疗前后在症状改善、畸形矫正方面差异有统计学意义(P<0.05),三种手术入路治疗胸腰椎结核临床疗效差异无统计学意义(P>0.05).结论根据患者全身情况、病灶大小及破坏程度、脊柱畸形程度,正确选择手术入路及手术方式,可以取得胸腰椎结核良好的治疗效果.随着微创手术方式及设备的发展,结核前路手术可逐渐由开放手术向微创手术转变.

锰掺杂氧化铜稀磁半导体薄膜的微结构和磁性

采用射频磁控溅射制备Mn掺杂CuO薄膜样品。X射线衍射结果说明薄膜样品为单相结构且沿(111)取向生长。通过样品的XRD精修得到样品的结构和晶格参数,掺杂后薄膜晶体结构有微小畸变。薄膜的高分辨透射电镜研究证明了对结构和晶粒大小等的精修结果,且同时说明Mn以替代Cu的形式掺入了CuO晶格中。通过对样品M-T曲线的分析,得到样品的居里温度为96.5K,近邻Mn离子之间的耦合为铁磁性,并由居里外斯拟合得到Mn离子的有效磁矩为3.1_(μB)。这说明磁性不是来自于团聚的Mn原子或铜锰的其它氧化物,而很可能来自于替住的锰离子所形成的Mn-O-Cu-O-Mn之间的铁磁性耦合。

Quantitative Survivability Analysis Using Probability Model Checking: A Study of Cluster-Based Vehicle Networks with Dual Cluster Heads

As an important part of future 5G wireless networks,a vehicular network demands safety,reliability and connectivity.In this context,networking survivability is usually considered an important metric to evaluate network performance.In this paper,we propose a survivability model for vehicle communication networking based on dual cluster heads,wherein a backup cluster head(CH)will be activated if the primary CH fails,thereby effectively enhancing the network lifetime.Additionally,we introduce a software rejuvenation strategy for the prime CH to further improve the survivability of the entire network.Using the Probabilistic Symbolic Model Checker(PRISM),we verify and discuss the proposed survivability model via numerical simulations.The results show that network survivability can be effectively improved by introducing an additional CH and further enhanced by adopting the software rejuvenation technique.

Stereotactic surgery for refractory epilepsy complicated by mental disorders A retrospective case analysis

BACKGROUND： Anti-epilepsy and anti-psychosis drugs have traditionally been used in the clinic to treat epilepsy complicated by mental disorders. However, there is still no effective therapy for refractory epilepsy patients suffering from persistent mental disorders. OBJECTIVE： To explore the therapeutic effects of stereotactic multi-element localization and multi-target radiofrequency ablation on patients with refractory primary epilepsy and mental disorders. DESIGN： A retrospective case analysis. SETTING： Department of Neurosurgery, the 454 Hospital of Chinese PLA. PARTICIPANTS： Between June and November 2004, 13 patients with refractory primary epilepsy complicated by persistent mental disorders were admitted to the Department of Neurosurgery, the 454 Hospital of Chinese PLA. The patient group consisted of nine males and four females, with an average age of 25 years （range 18-39 years）, and a course of disease ranging 3-11 years. Diagnosis of mental disorders was in accordance with Chinese Classification of Mental Disorders. Written informed consent was obtained from all patients and their families, and the treatment protocol was approved by the Ethics Committee of the Hospital. METHODS： Under venous inhalation anesthesia, the disease targets, including bilateral corpus callosum, bilateral amygdala, and bilateral medial septal area, as well as unilateral Forel-H area, were coagulated by RFG-3CF radiofrequency thermocoagnlation at 75-80 ℃ for 60-70 seconds. During thermocoagulation, the targets were identified using deep-brain microelectrodes and localized according to electrophysiology and electric resistance values. MAIN OUTCOME MEASURES： One year post-surgery, epileptic seizures were assessed on the basis of the Tan classification, and psychogenic （non-epileptic） seizures were evaluated using a 5-grade system. RESULTS： All enrolled 13 epileptic patients were included in the final analysis. The results of follow-up evaluations demonstrated that epilepsy was well-controlled. In total, nine patients did not experience relapse, and the frequency of seizures was reduced by 75% in two patients, and 50%-74% in another two patients. Psychogenic seizures were ameliorated in 11 cases （class 1, recovery） and improved significantly in two cases （class 2, significant improvement）. CONCLUSION： Radiofrequency ablation of bilateral corpus callosum, bilateral amygdala, bilateral medial septal area, and unilateral Forel-H area exhibits certain efficacy in treating epileptic patients suffering from persistent mental disorders.

Test and Analysis of the Sound Insulation Performance of Four Types of Timber Structure Floors under Jumping Excitation

To improve the impact sound insulation performance of building floors and meet the objective requirements for living comfort of residents,in this article,three kinds of elastic cushion materials,Portuguese cork board,BGL insulation sound insulation foam board,and EPP polypropylene plastic foam board,are applied to the sound insulation of a light frame wood floor structure of the same bedroom and compared to the ordinary floor.This study uses the transfer function method and transient excitation method to measure the sound insulation,damping ratio,and elastic modulus of materials,as well as the sound insulation of the floor under the jumping excitation method of daily behavior.Through comparative analysis,the results and factors of improving the sound insulation performance of the floor are obtained,according to which three types of elastic cushion materials and the floor covering composed of them have higher vibration and noise reduction performance.Among them,the overall sound insulation performance of BGL board floor is the highest,followed by EPP board and cork board floor,and ordinary OSB floor is the lowest.Under the jumping excitation method,three floating floors can improve the impact sound insulation performance of the middle and low-frequency bands.

Fluorescence imaging of drug target proteins using chemical probes

Fluorescence imaging can provide valuable information on the expression,distribution,and activity of drug target proteins.Chemical probes are useful small-molecule tools for fluorescence imaging with high structural flexibility and biocompatibility.In this review,we briefly introduce two classes of fluorescent probes for the visualization of drug target proteins.Enzymatically activatable probes make use of the specific enzymatic transformations that generally produce a fluorogenic response upon reacting with target enzymes.Alternatively,specific imaging can be conferred with a ligand that drives the probes to target proteins,where the labeling relies on noncovalent binding,covalent inhibition,or traceless labeling by ligand-directed chemistry.

Establishment of two-dimensional gel electrophoresis for soybean protein isolate and its application

To optimize the conditions for the establishment of two-dimensional gel electrophoresis(2-DE)of soybean protein isolate(SPI),we investigated Ampholine mixture,anodic and cathodic electrolytes,loading amount of sample,acrylamide concentration,p H gradient and gel staining method in twodimensional gel electrophoresis to optimize the protein imaging conditions in two-dimensional gel.The results of mixed-level design experiments showed that Ampholine,loading amount and gel staining method had significant effect(P<0.05)on 2-DE of SPI.The optimal conditions were Ampholine mixture(pH 3–10+pH 5–7 or pH 4–6+pH 5–7),loading amount of 2 mg sample and silver staining.Although the acrylamide concentration of the gel,the p H gradient,the anodic and cathodic electrolyte solutions had significant statistical effects on the protein separation degree,the complexity of the protein composition and the visibility of the gel images were more inclined to the 12%gel,the 3–10 pH gradient and the H3PO4/NaOH electrolyte.According to the established conditions,the hydrolyzed products of SPI emulsion were determined by 2-DE,and the dynamic changes of protein in the process of enzymatic hydrolysis were described.