国家预印本平台
中国首发，全球知晓
在食品安全问题频发与消费者信任危机的背景下，供应链透明化已成为餐饮企业战略管理的核心议题。本文旨在探讨透明食品供应链如何从风险防御工具演变为品牌形象建设的战略资产。通过分析公众需求的隐性特征、供应链透明的本质分层，以及其在品牌叙事与社会信任构建中的作用，并结合“西贝事件”的案例，本文揭示了当前餐饮企业在供应链透明化实践中面临的挑战。最终，论文提出连锁企业应通过重新定义价值主张、实施分层透明化策略，将供应链透明从成本中心转化为品牌信任的基石，从而在激烈的市场竞争中获得可持续的竞争优势。
"食品加工与安全"专业硕士培养中存在实践能力薄弱、产教融合不足的问题，本文以内蒙古农业大学食品科学与工程学院专硕培养为例，从"双导师制"师资队伍建设、多层次实践平台搭建、深度参与企业需求课题等维度，探索"食品加工与安全"专硕人才培养模式的改革路径。通过双导师制并结合内蒙古农畜产品资源优势，学生通过深入企业，参与企业实际需求的课题研究，学生的实践能力和行业认知得到大幅提升，且在就业过程中表现出良好的适应性。该模式为地方农业院校食品专硕产教融合培养提供一定的参考。
近年来硬件技术和第三代高速千兆WiFi解决方案的进步,为互联网吞吐量的显著提升铺平了道路,从而使得虚拟现实（VR）和增强现实（AR）等更复杂的应用成为可能。本文探讨了VR直播这一新兴领域,该领域将VR与直播技术相结合,为用户提供具有全景视角和3D显示的高度沉浸式观看体验。尽管VR直播在增长,但它面临着重大挑战,尤其是视频拼接和编码的高计算需求。传统方法依赖本地资源,但这些资源往往不足。云计算的出现提供了一个有前景的解决方案,通过将计算密集型任务外包到云端,从而减轻本地系统的负载。本研究引入了一种新机制,在采集终端使用多网络接口控制器来提高带宽利用率,并确保多摄像头视频流的同步到达以进行有效拼接。研究提出了一种多路径传输模型,旨在管理潜在的网络拥塞并优化云端的缓冲队列长度,从而改进采集终端的路由策略。通过大量仿真和原型系统实验,该方法的有效性得到验证,显示出优于现有方法的资源效率和性能。本文不仅解决了技术挑战,还为VR直播的可扩展性和服务质量做出了贡献。
We use the deep NIRCam and MIRI imaging from the JWST PRIMER survey to study the properties of (sub)mm sources detected by ALMA in the centre of the COSMOS field, with the aim of better constraining the history of dust-enshrouded star formation. The wealth of ALMA data in this field enabled us to isolate a robust sample of 128 (sub)mm sources within the 175 sq. arcmin of the PRIMER COSMOS survey footprint, spanning two decades in (sub)mm flux density. The JWST imaging is deep/red enough to reveal secure galaxy counterparts for all of these sources. Moreover, 52% of the galaxies have spectroscopic redshifts, enabling us to refine the photo-zs for the remaining galaxies. Armed with this robust redshift information, we calculate the star-formation rates (SFR) and stellar masses of all 128 ALMA-detected galaxies, and place them in the context of other galaxies in the field. We find that the vast majority of star formation is dust-enshrouded in the ALMA-detected galaxies, with SFR ranging from ~1000 down to ~20 solar masses per year. We also find that virtually all (126/128) have high stellar masses, at all redshifts, with log(M/Msun) > 10. The unusually high quality of our sample enables us to make a robust estimate of the contribution of the ALMA-detected galaxies to cosmic star-formation rate density from z = 2 out to z = 7. Finally, to correct for the fact that the deep ALMA pointings cover < 20% of the PRIMER COSMOS area, we use our knowledge of all other massive galaxies in the field to produce a completeness-corrected estimate of dust-enshrouded star-formation rate density over cosmic time. This confirms that UV-visible star formation dominates at z > 4, but also indicates that dust-enshrouded star formation likely still made a significant contribution at higher redshifts: extrapolation of our results suggest a ~20% contribution at z = 8, and potentially still ~5% at z = 10.
