Ruijin Hospital: Embarking on a Smart Hospital Journey and Exploring a Digital Medicine Platform

本案例首先简要回顾了中国医院体系及智慧医院的探索背景及发展历程，并介绍了瑞金医院的背景，接下来重点讲述了瑞金医院提出数字化医院的战略愿景，结合多方痛点细化战略目标，积极探索多种技术落地路径，并通过智慧服务、智慧医疗和智慧管理全面探索智慧医院建设。 2021年10月27日，上海市数字医学创新中心在瑞金医院正式揭牌。上海市政府对瑞金医院提出了极高的期望——瑞金医院要为全国数字医学发展探索标准、树立标杆、作出示范。瑞金医院院长宁光院长作为创新中心的主任发言表示，创新中心将深入推进医疗数字化转型，打造智慧医院的典范，并推广到其他医疗机构。 然而，肩负重担的瑞金医院接下来既要做好自身的智慧医院建设，又要协调内外部资源，推动整个医疗行业的数字化转型。问题是，于内，瑞金医院智慧医院建设所打造的新技术和数字化场景离大范围普及还有一定距离；于外，当前医疗行业的智能化、信息化水平还不够高，医疗数据的整合和共享程度低，各地区医疗数据化程度也不尽相同，因此，输出数字医学标准同样面临挑战。面向未来，瑞金医院如何进一步深化自身智慧医院建设，并建设好上海数字医学创新中心这样一个内部的平台性功能机构呢？This case begins with an overview of China's healthcare system, followed by an introduction to the country's hospitals' pursuit of digital transformation and a profile of Ruijin Hospital. The case then focuses on how Ruijin Hospital laid out a vision for the digital hospital and translated it into strategic goals that addressed the needs and concerns of multiple stakeholders. It covers how the hospital explored technology solutions for smart services, healthcare, and management to drive its smart transformation. Ruijin Hospital Affiliated to the School of Medicine, Shanghai Jiao Tong University inaugurated the Shanghai Digital Medicine Innovation Center (hereinafter "Innovation Center") on October 27, 2021. The Shanghai Municipal People's Government expected Ruijin Hospital to lead the way in setting national standards and benchmarks for digital transformation in healthcare. At the inauguration ceremony, Ning Guang, the director of Ruijin Hospital, addressed the guests as head of the Innovation Center. He noted that the Innovation Center would play a pivotal role in spearheading the digitization of healthcare, exemplifying smart hospital practices, and extending them to other medical institutions. Ruijin Hospital needed to leverage internal and external resources to help the entire healthcare industry go digital as it moved forward with its smart transformation. However, achieving these dual objectives would prove to be a formidable task. Internally, it had a long way to go to apply its new technologies and digital solutions across the healthcare industry. Externally, the varying levels of informatization and smart technology application across medical institutions hindered the seamless integration and sharing of medical data. To complicate matters further, digitization in healthcare also varied from region to region. Ruijin Hospital faced challenges in extending its standards for digital transformation to other institutions. In this context, how would Ruijin Hospital advance its own smart transition while also using its Innovation Center, positioned as an internal platform-based functional organization, to empower more medical institutions

新型高枝水果采摘器

为了降低水果采摘的技术难度与成本，设计研制了一种基于振动频率控制的高枝水果采摘机械装置。在该装置的机构学分析和理论计算基础上，确定了以锥齿轮和曲柄滑块机构为主的传动设计方案，通过将直流电机输出转矩转化为树枝的往复振荡来实现水果采摘。利用线性弹簧模拟树枝振荡过程，设计创建了基于刚柔耦合形态的等效力学模型；并通过运动学、动力学仿真分析，验证了样机结构的合理性与可靠性。现场采摘试验结果表明，该装置具有良好的实用性和水果采摘效能。为水果采摘机械的创新设计和实践应用提供了重要技术参考

硼团簇及其材料化学研究进展(I): 硼墨烯

位于元素周期表中的第五位元素硼, 其丰富的化学结构和多样的成键方式仅次于有机化学和生物科学中的核心元素——碳元素. 硼的缺电子性质导致其必须通过多中心键的方式共享电子以平衡体系的电子分布, 因此硼团簇多具有独特的几何结构和电子离域的成键特性. 近年来, 硼团簇及其材料的研究越来越受到人们的重视, 并取得了一系列研究成果. 通过实验和理论计算, 发现小尺寸的硼团簇多具有平面结构. 2014年, 王来生与李隽两个研究团队合作发现了中心含六元环孔的平面B36−团簇并由此提出了硼墨烯(borophene)概念, 为二维硼材料的发展提供了新的研究方向. 最近中美科学家同时在金属衬底上合成了单层硼墨烯, 使得二维硼材料备受关注. 鉴于硼的缺电子特性, 可以借助于金属掺杂等方式形成各种不同的金属硼化物结构. 具有完美平面结构的CoB18−团簇以及准平面的RhB18−团簇的发现推动了金属掺杂硼墨烯(metallo-borophene)研究的发展. 本文从实验和理论两个方面, 对具有平面或准平面结构的纯硼团簇、金属掺杂硼团簇、二维无限延伸硼墨烯材料等进行了介绍和总结, 并展望了硼团簇二维材料的研究前景和潜在应用. Boron, the fifth element in the period table, exhibits diverse bonding patterns and interesting structures due to its electron deficiency. Unlike its neighbor carbon, closed-packed boron sheet with graphene-like honeycomb lattice is unstable so that planar boron clusters usually have interior vacancies and corrugated appearance. Delocalized multi-center bonding has an important role to stabilize the 2D structures, giving rise to the concept of σ, π, …multiple aromaticity. The experimental observation of the B36− cluster in 2014 established the viability of boron monolayer which was named as “borophene” by Wang and Li. Recently, studies on planar CoB18− and RhB18− clusters have suggested the possibilities of metal-doped borophenes (metallo-borophenes) with potentially tunable electronic, magnetic and optical properties. In this review, we summarize recent experimental and theoretical advances in 2D pure-boron and metal-doped boron clusters, as well as their implications for borophenes and metalloborophenes as novel new boron materials

Determination of the number of ψ(3686) events taken at BESIII

The number of ψ(3686) events collected by the BESIII detector during the 2021 run period is determined to be (2259.3±11.1)×106 by counting inclusive ψ(3686) hadronic events. The uncertainty is systematic and the statistical uncertainty is negligible. Meanwhile, the numbers of ψ(3686) events collected during the 2009 and 2012 run periods are updated to be (107.7±0.6)×106 and (345.4±2.6)×106, respectively. Both numbers are consistent with the previous measurements within one standard deviation. The total number of ψ(3686) events in the three data samples is (2712.4±14.3)×10^

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies