Self‐Assembled Aptamer‐Nanomedicine for Targeted Chemotherapy and Gene Therapy

Chemotherapy is the mainstream treatment of anaplastic large cell lymphoma (ALCL). However, chemotherapy can cause severe adverse effects in patients because it is not ALCL‐specific. In this study, a multifunctional aptamer‐nanomedicine (Apt‐NMed) achieving targeted chemotherapy and gene therapy of ALCL is developed. Apt‐NMed is formulated by self‐assembly of synthetic oligonucleotides containing CD30‐specific aptamer and anaplastic lymphoma kinase (ALK)‐specific siRNA followed by self‐loading of the chemotherapeutic drug doxorubicin (DOX). Apt‐NMed exhibits a well‐defined nanostructure (diameter 59 mm) and stability in human serum. Under aptamer guidance, Apt‐NMed specifically binds and internalizes targeted ALCL cells. Intracellular delivery of Apt‐NMed triggers rapid DOX release for targeted ALCL chemotherapy and intracellular delivery of the ALK‐specific siRNA induced ALK oncogene silencing, resulting in combined therapeutic effects. Animal model studies reveal that upon systemic administration, Apt‐NMed specifically targets and selectively accumulates in ALCL tumor site, but does not react with off‐target tumors in the same xenograft mouse. Importantly, Apt‐NMed not only induces significantly higher inhibition in ALCL tumor growth, but also causes fewer or no side effects in treated mice compared to free DOX. Moreover, Apt‐NMed treatment markedly improves the survival rate of treated mice, opening a new avenue for precision treatment of ALCL.     

大螺距连续螺旋折流板换热器制造工艺研究

针对大螺距连续螺旋折流板螺旋升角大、成型困难的问题，分析了连续螺旋板成型的基本原理，提出了螺旋导向+热成型+周向力的成型方案，设计制造了连续螺旋折流板压制成型模具，压制过程中通过模具转动得到了一个完整周期的连续螺旋折流板；分析了大螺距连续螺旋折流板钻孔加工的难点，提出了采用数控加工中心铣削加工的方案。通过合理的刀具选择和装夹设计加工出了连续螺旋折流板，解决了大螺距螺旋面管孔加工问题，为大螺距连续螺旋折流板的成型及加工提供了借鉴。     

炮掘岩巷大块矸石成因分析及防治措施

为了解决辛置煤矿东四延伸皮带巷掘进过程中由于大矸产生率过高造成巷道掘进效率低下的问题,在对大矸产生原因进行分析的基础上,提出采用锲直复合掏槽爆破方式代替原有的直眼掏槽爆破,并从巷道掘进效率、大矸产生率等方面进行详细对比分析。掘进采用锲直复合掏槽爆破方式后,大矸产生率从30%以上降低到20%以内,且最大矸石粒径从1000 mm×800 mm降低到500 mm×400 mm,巷道掘进进尺从1.5 m/d提升至3 m/d,应用效果显著。     

大倾角综放开采放煤工艺参数模拟分析

利用离散元软件PFC2D,对平舒矿沿倾向上开采时的大倾角放顶煤的冒落规律进行研究,得出不同参数下放煤过程的煤矸冒落图形。通过对不同采煤高度、放煤步距的采出率和含矸率的对比分析,得出上向放顶煤开采的最合理放煤工艺参数,为后续大倾角放顶煤不同开采方向的工艺参数优化提供了依据。     

空间红外大口径折射式低温镜头设计与验证

针对目标探测类空间红外相机大范围成像、高灵敏度探测、高精度定位等应用需求,文中提出采用像方远心光路和低温光学技术结合的解决方案,设计了物方视场角8°×8°、入瞳口径265 mm、工作温度200 K的像方远心折射式光学系统。镜头最大口径280 mm,采用多级分散的弹性支撑设计,解决大口径低温透镜装框、透镜组件支撑和镜头整体安装各环节的热应力卸载问题。在保证高刚度和低漏热的情况下,使低温下透镜的热应力对镜头能量集中度的影响降低到可接受范围内。镜头完成装调及室温下像质确认后,进行了力学振动试验,并将其制冷到200 K水平测试像质,测试结果表明,镜头能量集中度达到轴上75%,边缘视场72%。     

Using shear force,sarcomere length,particle size,collagen content,and protein solubility metrics to predict consumer acceptance of aged beef tenderness

In this study, the relationship between sensory evaluation and several objective metrics of beef tenderness was tested. Objective metrics included shear force, sarcomere length, collagen content, myofibrillar, and sarcoplasmic protein solubility and particle size analysis. These results were compared to consumer panel scores of tenderness for the same aged beef striploin (longissimus lumborum muscle) samples. There was found to be a significant relationship between sarcomere length, shear force, and particle size with tenderness scores. Collagen content and protein solubilities were not associated to tenderness scores (p > 0.05). Sarcomere length contributions for explaining tenderness variation were overlapped by the contributions of shear force (collinearity). Independent models demonstrated that the lower 95% confidence interval of the fitted regression line exceeded 50% acceptance of tenderness when shear force values <42.6 N and when particle size values <198 μm. We can recommend these as thresholds for consumer acceptance of beef tenderness, although considerations of sample type, analytical methodology, and consumer demographics should be made prior to their adoption. This provision was based on the variation in tenderness scores evident between individual panelists and experimental striploins.     

A star pattern recognition algorithm for cameras with large FOV

In most large field of view (FOV) observations, the distortion problem is inevitably and significantly more serious than in small FOV ones. In the circumstances, many traditional star identification approaches are not able to efficiently identify stars any more. In order to deal with this problem, we put forward a star identification method that is less sensitive to distortion. The method first processes stars in the central area of the image, using traditional identification logic, and then applies the region growing strategy to enlarge the identified regions iteratively until the entire image is covered. The performance of the new scheme is analysed in the presence of both simulated data and real data. The results show that the proposed algorithm has the advantage of speed, and the strategy of regional extension can efficiently identify stars in large FOV images compared with other existing algorithms.