Machine Learning Reduced Gene/Non-Coding RNA Features That Classify Schizophrenia Patients Accurately and Highlight Insightful Gene Clusters

RNA-seq has been a powerful method to detect the differentially expressed genes/long non-coding RNAs (lncRNAs) in schizophrenia (SCZ) patients; however, due to overfitting problems differentially expressed targets (DETs) cannot be used properly as biomarkers. This study used machine learning to reduce gene/non-coding RNA features. Dorsolateral prefrontal cortex (dlpfc) RNA-seq data from 254 individuals was obtained from the CommonMind consortium. The average predictive accuracy for SCZ patients was 67% based on coding genes, and 96% based on long non-coding RNAs (lncRNAs). Machine learning is a powerful algorithm to reduce functional biomarkers in SCZ patients. The lncRNAs capture the characteristics of SCZ tissue more accurately than mRNA as the former regulate every level of gene expression, not limited to mRNA levels.     

Investigation of the Anti-Methicillin-Resistant Staphylococcus aureus Activity of (+)-Tanikolide- and (+)-Malyngolide-Based Analogues Prepared by Asymmetric Synthesis

Herein, we report antibacterial and antifungal evaluation of a series of previously prepared (+)-tanikolide analogues. One analogue, (4S,6S)-4-methyltanikolide, displayed promising anti-methicillin-resistant Staphylococcus aureus activity with a MIC of 12.5 µg/mL. Based on the antimicrobial properties of the structurally related (−)-malyngolide, two further analogues (4S,6S)-4-methylmalyngolide and (4R,6S)-4-methylmalyngolide bearing a shortened n-nonyl alkyl side chain were prepared in the present study using a ZrCl₄-catalysed deprotection/cyclisation as the key step in their asymmetric synthesis. When these were tested for activity against anti-methicillin-resistant Staphylococcus aureus, the MIC increased to 50 µg/mL.     

Recent Advances in Boron Nitride Based Hybrid Polymer Nanocomposites

Boron nitride (BN) is an eminent inorganic compound having many interesting characteristics such as improved oxidation resistance, mechanical strength, good thermal conductivity (TC), higher bandgap, high chemical stability, thermal stability, high hydrophobicity, and electrical insulation. The use of BN as a filler in polymers is a well-established strategy to tailor the properties of polymer composites. Recent studies depict an interesting urge to reap the synergistic effect of various nanofillers with BN in the form of hybrids. Hence the consolidation of the works on BN based hybrid fillers would definitely attract researchers so that these new filler systems could be transformed into useful polymer nanocomposites in future. This review article focuses on the synthesis and characterization of various boron nitride based hybrids in detail. Moreover, the review also throws light on different BN hybrid reinforced polymer nanocomposites (PNCs) and their thermal, electrical, electronic as well as biomedical applications in a detailed manner. Thus the review anticipates serving as a tool toward understanding the recent trends in the field of boron nitride hybrid based ternary polymer composites.     

重芳烃轻质化催化剂n（Ni）/n（Ni+Mo）的优化与分析

以β分子筛为载体,在保持金属总负载量不变的情况下,采用等体积浸渍法制备了4种不同n（Ni）/n（Ni+Mo）的催化剂。分别采用X射线衍射（XRD）、比表面积测试（BET）、氨程序升温脱附（NH₃-TPD）、氢程序升温还原（H₂-TPR）、氢程序升温脱附（H₂-TPD）和热重-差热分析（TG-DTG）等方法对催化剂进行了表征。结果表明,4种催化剂的酸量和酸强度相近,在n（Ni）/n（Ni+Mo）等于基准+0.2时,Mo与载体之间的相互作用最弱,其氢气吸附量最多且积炭量最少;采用某炼厂重整C₁₀⁺ 重芳烃对4种催化剂进行评价,结果表明n（Ni）/n（Ni+Mo）等于基准+0.2催化剂具有最优的催化活性和稳定性。上述结果表明,影响重芳烃轻质化催化剂活性和稳定性的关键因素是催化剂氢气吸附量的多少,氢气吸附量越多金属表面的溢流氢效应越明显,积炭前驱体被溢流氢及时消除,从而保护了催化剂的加氢活性中心不被积炭覆盖,有助于催化剂在较高活性下保持稳定。     

新钢基于多元数据采集的电弧炉炼钢过程能量监控系统

电弧炉炼钢过程中能量多元且复杂,采用单一的数据采集方式不能满足对电弧炉炼钢过程各工序能量构成分析要求。通过多元数据采集方式,准确采集电弧炉炼钢过程各工序实际生产数据,并使用Visual Studio 2013、Microsoft SQL Server 2012数据库等软件建立电弧炉炼钢过程能量监控系统。该系统通过实时动态采集到的电弧炉炼钢过程各项冶炼数据,量化电弧炉炼钢过程各工序能量,实现电弧炉炼钢过程能量监控;对电弧炉炼钢过程各工序能量消耗、能量流动、能量利用等方面进行分析,为电弧炉生产过程能量高效利用提供理论依据。     

Ce对440C不锈轴承钢夹杂物演变的影响

为探究稀土Ce对440C不锈轴承钢中夹杂物的改性作用,利用实验室MoSi₂电阻炉对440C不锈轴承钢进行稀土Ce处理,采用OM、SEM等系统分析了Ce的添加对440C不锈轴承钢脱氧及夹杂物演变的影响。结果表明,随着Ce加入量的增加,其收得率逐渐升高。Ce的加入使钢中TO质量分数由0.002 5%降低至0.001 2%。未加入Ce的钢中夹杂物主要为Al₂O₃、MnS以及镁铝尖晶石;加入质量分数为0.011 5%的Ce后,夹杂物被改性为以Ce-Al-O为主的夹杂物;当Ce的添加量达到0.036 4%时,夹杂物被完全改性为Ce-O-S夹杂物。适量的Ce可以降低夹杂物尺寸及面积比例,但过量加入会使夹杂物尺寸变大。在本试验条件下,当Ce质量分数为0.011 5%时,钢中夹杂物细小弥散效果最明显。以上结论可为Ce在高碳铬不锈轴承钢中的应用提供参考。     

渗碳工艺CAD软件的研究开发

研究开发的渗碳工艺CAD软件,采用模块结构,菜单式操作,可对不同钢种进行不同渗碳工艺的工艺参数设计和渗碳过程模拟。     

Effect of ultrasonic power and bonding force on the bonding strength of copper ball bonds

Copper wire, serving as a cost-saving alternative to gold wire, has been used in many high-end thermosonic ball bonding applications. In this paper, the bond shear force, bond shear strength, and the ball bond diameter are adopted to evaluate the bonding quality. It is concluded that the ef/~cient ultrasonic power is needed to soften the ball to form the copper bonds with high bonding strength. However, excessive ultrasonic power would serve as a fatigue loading to weaken the bonding. Excessive or less bonding force would cause cratering in the silicon.     

低速走丝电火花线切割加工几种编程方法的探讨

对低速走丝电火花线切割机加工某一类工件的4种编程方法作了详尽的分析、比较，总结出一种最优化的方法，可达到减少差错，降低成本，避免重复劳动，提高生产效率的目的。     

碳化-冻融作用下钢筋混凝土梁承载力衰减分析

为了研究碳化-冻融环境对钢筋混凝土梁承载力的影响,对钢筋混凝土试验梁进行了多重循环碳化-冻融交替作用下的加速腐蚀试验,然后对完成腐蚀试验的钢筋混凝土梁进行抗弯荷载试验.通过荷载试验获得腐蚀梁的应变变化、裂缝发展及荷载位移曲线,分析碳化-冻融耦合作用对试验梁承载力衰减的影响.结果表明:荷载试验过程中腐蚀钢筋混凝土梁的跨中截面应变基本满足平截面假定,相同荷载下受腐蚀梁的跨中应变大于未腐蚀梁的应变值;与未腐蚀钢筋混凝土梁相比受腐蚀梁的裂缝出现的较早,裂缝较宽、数量较少;从试验梁的荷载-位移曲线可知同一级别荷载作用后梁体跨中位移值随碳化-冻融腐蚀周期的增加而增大,极限荷载随腐蚀周期的增加而降低.根据试验梁荷载试验的实测数据提出了钢筋混凝土梁在全寿命周期内承载力时变衰减系数的计算公式,并通过有限元模拟分析验证了其正确性,该系数可用于我国严寒区钢筋混凝土结构的承载力衰减模拟分析和评估,成果可为实际工程参考.