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Objective The current secondary positioning system of urban rail transit train beacons has a positioning accuracy of 300 meters, failing to meet the high-precision positioning requirements of wireless environment monitoring grid. Additionally, GPS (global positioning system) and the Beidou Satellite Navigation System are not suitable for underground rail positioning. Therefore, it is necessary to conduct in-depth research on continuous positioning technology for urban rail transit CBTC (communication-based train control) wireless environment monitoring grid. Method Building on the existing urban rail transit train beacon secondary positioning system, an inertial navigation technology enhanced by beacon-assisted training is adopted. By utilizing a multi-sensor fusion positioning algorithm, the sensor data from the inertial navigation module is integrated with the beacon data from the ATS (automatic train supervision) system, thus achieving the continuous positioning of wireless environment monitoring grid in urban rail transit. Additionally, a regression prediction algorithm is used for offline model training to enhance the accuracy of continuous positioning for the urban rail transit wireless environment monitoring grid. Result & Conclusion The proposed methods can achieve continuous and real-time positioning of wireless environment monitoring grid, supporting CBTC wireless environment monitoring grid in tunnels, beneath elevated structures, and in complex environments where metro train passing through areas with tall buildings and tree cover. The positioning accuracy reaches 10 m, meeting the positioning requirements of the CBTC wireless environment monitoring system, and fully ensuring the safety of the urban rail transit CBTC signaling system.

Faculty members abruptly transitioned to online course delivery during the COVID-19 public health crisis. Unfortunately, the isolation of learning online had the potential to damage students' well-being during an already stressful pandemic. Furthermore, many faculty members had little experience with online modes of instruction and few effective strategies for building community online. This exploratory sequential mixed methods study uses data from 37 individual interviews with faculty across diverse disciplines, course evaluations from 13 of the 37 interview participants, and survey data from 347 faculty to answer the following research question: "How did faculty foster a sense of community online to support students' holistic well-being during the COVID pandemic? What strategies can faculty use to create community and foster well-being in online courses?" Results show that successful strategies centered around intentional and purposeful course design, establishing clear expectations for faculty and students, and fostering supportive and trustworthy online learning environments.

The COVID-19 pandemic, an unprecedented public health emergency, challenged higher education and threatened students' well-being in several ways. With the abrupt shift to online learning, were instructors able to maintain a focus on educating whole students, in addition to teaching subject matter? We answer this question by investigating "formative education," an approach to teaching and learning that emphasizes holistic development, exploring formative education online during the pandemic. This qualitative study investigates the strategies of 37 college faculty who provided successful formative education online. A cross-subject analysis of data from faculty interviews and supplemental materials (course artifacts, course evaluations, student interviews) uncovered three teaching approaches that faculty used to achieve formative education online: empathic (centering students' emotions), reflective (facilitating deep inquiry), and adaptive (having flexibility in meeting students' needs). These approaches could help instructors design online education that engages the whole person.

In this reflective essay, we consider the impact of COVID-19 on doctoral education in terms of relationship-building, academic progress, and future directions. We share experiences and practices related to peer support, faculty mentorship, and research participation that suggest institutional mechanisms for doctoral student development as early-career scholars.

PURPOSE We aimed to investigate the safety and tumor seeding rate of a coaxial implantation technique combined with injection of a gelfoam pellet in establishing a VX2 liver tumor model in rabbits. METHODS A VX2 liver tumor model was established in 60 male New Zealand white rabbits, which were randomly divided into 3 groups (20 in each group) based on implantation technique (all performed under ultrasound guidance): group A, single needle only; group B, single needle with injection of a gelfoam pellet; or group C, coaxial technique with injection of a gelfoam pellet. The rates of liver tumor formation and tumor seeding to extrahepatic tissues were compared 2 weeks after implantation. Data were also collected regarding procedure time, number of punctures, occurrence of complications, and mortality rate. RESULTS A VX2 liver tumor model was established in all 60 rabbits (100%, 60/60). Ectopic implantation rate was 70% (14/20) in group A, 35% (7/20) in group B, and 5% (1/20) in group C, with significant difference among the groups (p < 0.001). Post hoc analysis showed significant difference between group A and group C (p < 0.001). However, there were no significant differences between group B and group A or group C (p = 0.027, p = 0.048, respectively). There were no significant differences among the groups in terms of procedure time (p = 0.405) or number of punctures (p = 0.612). No complications or deaths occurred. CONCLUSION A coaxial technique with injection of a gelfoam pellet is an effective and safe method for VX2 liver tumor implantation in rabbits, and this technique can reduce the risk of tumor seeding to the abdominal wall and omentum. [ABSTRACT FROM AUTHOR]