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自旋三旋转中的超导旋转重新定位...
摘要：超导（SC）状态具有旋转和轨道自由度，并且自旋 - 三个超导性超导性显示了由于存在这些自由度而导致的多个SC阶段。然而，几乎没有报道在SC状态内发生的自旋方向旋转（SC旋转旋转）。UTE 2是一种最近发现的拓扑超导体，在压力下表现出各种SC阶段：在环境压力下（SC1）处的SC状态，高于0.5 GPA（SC2）高于0.5 GPA的高温SC状态和高于0.5 GPA（SC3）的低温SC状态。我们对单晶UTE 2进行了核磁共振和AC敏感性测量。与SC1不同，B轴自旋易感性保持不变，并且通过自旋调制而降低了SC2 -SC3过渡。SC3中的这些唯一属性来自两个SC顺序参数的共存。我们的NMR结果证实了与SC2中与B平行的SC旋转超导性的旋转超导性，并在超导UTE 2中揭示了自旋自由度的剩余自由度。
Silicon Crossroads Microelectronics Commons
FOR IMMEDIATE RELEASE Silicon Crossroads Microelectronics Commons Marks Milestone Year CRANE, Ind. – As 2024 comes to a close, the Silicon Crossroads Microelectronics Commons (SCMC) Hub has emerged as a powerful catalyst for innovation and growth in the Midwest's microelectronics ecosystem. Under the leadership of Applied Research Institute (ARI), the hub has made substantial strides in fostering collaboration, driving technological advancements, and nurturing talent. SCMC is poised to help shape the future of microelectronics, strengthening America's global competitiveness and driving economic and national security. In its first year, SCMC focused on standing up its internal operations, and established a robust and diverse membership base spanning academia, small businesses, industry leading commercial companies and defense industrial base system integrators. This vibrant community was integral to driving ideation, advancing technologies through prototyping, and positioning projects for efficient transition to production. SCMC innovation processes and framework has made significant strides to accelerate microelectronics technology advancements through the proven innovation architecture. The nucleus of this framework incorporates collaborative ideation sessions, networking collisions, innovation templates/best practices, and the convergence of project teams. For example, SCMC's collaborative ideation sessions, such as the one held in June 2024, are designed to reduce innovation barriers. SCMC implemented a suite of tools, revolutionizing the operational capabilities. With these tools, the SCMC Hub can communicate efficiently, ensuring clear and timely information exchange among all members. This improved communication has resulted in better teaming opportunities, enabling more cohesive and strategic collaborations. The online member engagement platform houses all hub engagement, outreach, communications, event calendar, teaming profiles, member resources, data calls, and membership data. By utilizing this platform, SCMC members can interact with other hub members, receive pertinent Hub communications, partner with new innovative companies, share noteworthy news/articles, view announcements, and explore upcoming events. Upon the launch of this platform, our membership base consisted of 136 members, but saw significant and constant growth each quarter, bringing us to over 250 members, an 83% increase. Members can utilize the newly opened Silicon Crossroads Collaboration Center (SC3), which serves as a state-of-the-art hub for the SCMC, providing a modern and flexible space to foster collaboration, innovation, and knowledge sharing among the hub's diverse membership. The center's modular design accommodates a variety of events, workshops, and meetings, and already hosted over 36 activities that brought in more than 800 members and ecosystem partners. As a central gathering place for the three-state hub coalition, the SC3 plays a vital role in enabling the rich engagement and community-building that are critical to the hub's success. One of the most notable in 2024 was the establishment of the R1 Nucleus (R1N), an unprecedented collaboration between four prestigious regional universities: Purdue University, University of Notre Dame, University of Michigan, and University of Illinois Champaign- Urbana.
网络环境促进的是充足消费还是过度消费？在线广告和社交媒体对服装、数字设备和航空旅行消费的影响
图 2 验证性因子分析模型。注：服装调查 — 模型拟合度： χ 2 ( N = 883, df = 158) = 489.4, p < .001; RMSEA = 0.052; 90% CI = [0.047, 0.057]; CFI = 0.953, TLI = 0.937; SRMR = 0.042。数字设备调查 — 模型拟合度： χ 2 ( N = 860, df = 159) = 476.1, p < .001; RMSEA = 0.051; 90% CI = [0.046, 0.056]; CFI = 0.956, TLI = 0.942; SRMR = 0.038。为解决 Heywood 案例，将两个个人规范项目的因子载荷设置为相等（遵循 Chen 等人，2001 年）。休闲航空旅行调查 - 模型拟合度：χ 2（N = 976，df = 237）= 624.2，p < .001；RMSEA = 0.044；90% CI = [.039, .048]；CFI = .964，TLI = .955；SRMR = .038。虚线框中的项目仅在休闲航空旅行调查（sc3、sc4、pn3 和 pn4）中测量。在休闲航空旅行调查中，愿望水平分为两个潜在因素：充足消费水平和理想消费水平。模型规范 — 由于并非所有测量都具有共同的独特内容，因此允许四个误差项在“促进消费的内容感知”因素内相关（snc1-snc2：0.45、0.55、0.40；snc1-snc3：0.25、0.24、0.18；snc2-snc3：0.21、0.28、0.17；测量广告感知的项目的误差项；snc3 – snc4：0.21、0.28、0.11；测量“社交媒体”感知的误差项）。此外，在休闲航空旅行模型中，测量充分性导向广告感知的两个项目的误差项是相关的（0.33）。有关因子之间的相关性，请参阅表 3。有关因子载荷，请参阅附录 A 中的表 A1-A3
从自动修理设施和工业场所的污染土壤的花费的机油降解中的微生物熟练度：
消费发动机的处置由于其有毒和持续性的性质而引起了重大的环境挑战。这项研究旨在隔离能够降解用过的发动机油的微生物，并具有开发生态友好的生物化策略的最终目标。收集了来自自动修复设施和工业场所的土壤和水样，并使用矿物质盐琼脂培养基（MSA）培养基筛选用于耗尽的机油降解微生物。隔离菌株，以获取利用用过的发动机油的能力。监测的其他参数是温度和pH。采用16S rRNA基因测序来鉴定分子水平的分离的微生物。BLAST计划显示，包括细菌（3）和真菌（2）群体在内的七（5）个分离株的多样化阵列，表明涉及丰富的微生物多样性，涉及耗尽发动机油的脱机。分离株被鉴定为细菌（Sa1-苏云金芽孢杆菌，Sa6-bacillus Cereus和SB5-Alcanivorax borkumensis）和真菌（Sa5- aspergillus Niger和SC3-Aspergillus flavus）。石油降解率的百分比为SA5（43.80％）> SA1（29.17％）> SB5（28.82％）> SC3（6.07％）。与细菌相比，真菌分离物，尼日尔SA5-刺激性尼日尔的发动机油降解速率显着（P <0.05）。这项研究不仅证明了细菌的潜力，而且还表明了本地真菌群落在减轻用过的发动机油的环境影响方面的潜力。它还为未来的研究提供了一个基础，该研究重点是优化复杂的烃污染物的生物降解。关键字：生物修复，酶活性，碳氢化合物降解细菌，碳氢化合物真菌简介主要由碳和氢组成的碳氢化合物是原油的必不可少的组成部分，一种复杂的混合物，它包含氧气，硫，硫，氮气，氮气以及跟踪的含量。固化后的石油产物获得了改变的理化特性，从而增强了复杂性并可能阻碍其生物降解（Logeshwaran等，2018）。石油工业的污泥中含有污染物，例如碳氢化合物，硫化物和氨