Damage to School Buildings During the 2015 Nepal Earthquake and Reconstruction Strategy

The 2015 Nepal Earthquake (Mw7.8) affected more than 9,000 schools in the country. Damage distribution in the 14 most-affected administrative districts shows that the construction practices were an important determent for the level of damage extended. Use of improper construction materials, lack of construction supervision, and non-compliance with the existing building codes during design and construction probably contributed to the severe damage of most of the school buildings. Preliminary damage assessment results show that in the most-affected districts, about 86% schools were affected by the earthquake and about one million students were out of their schools for a long time. The damage survey data indicate that about 30% classrooms collapsed, about 13% classrooms sustained major damage, and about 17% classrooms sustained minor damage within the 14 districts. Such evidence of loss and damage in the earthquake disasters provides an opportunity to learn lessons for the future preparedness and to encounter the disaster challenges. Based on the damage analysis data and experience of reconstruction process after the 2015 Nepal Earthquake, this paper highlights the steps to be considered during reconstruction strategy planning for school buildings after an earthquake disaster.

Transitional Self-Disappear: The Journey of Cancer Survivors to Self Re-Coherence

Purpose People who experience cancer often face serious and unpleasant challenges in understanding their past, present, and future. They think they have lost their lifetime, agency, and interpersonal relationships, and no longer know their bodies. These experiences can change survivors' perceptions of themselves. Therefore, the present study aimed to develop a deep theoretical understanding of the change of self in cancer survivors. Methods Semi-structured interviews were used to collect data. Interviews were conducted with 17 cancer survivors, 2 oncologists, and 2 family members of survivors. In this study, grounded theory methodology was used to explore the process of understanding and experiencing "self" in cancer survivors. Results The present study generated a model about the change of self, with the main concept called "transitional self-disappear", which is understandable based on the concepts of self-disruption (temporal disruption, highlighted body, interference in the agency, - individual-self disruption, over differentiation, relational self-disruption, and painful emotional experiences), self-reconstruction strategy and quality of self-coherence; and occurs in the cancer-based contextual experiences and individual-environmental preparedness. Conclusion This model illuminated the complex paths and roads of the survivors' journey from self-disappear to self reconstruction/re-coherence. A healthier experience of this journey can be facilitated by the transcendence of the "self" conceptualized in the past, and the promotion of specific (cancer-based contextual experiences) and general (individual-environmental preparedness) conditions.

A two-stage image reconstruction strategy for electrical impedance tomography

Electrical impedance tomography (EIT) is a potential and promising tomographic technique. Based on a reconstruction strategy, conductivity distribution can be imaged by processing boundary measurements. It should be noticed that the process of image reconstruction involves the solution of a nonlinear ill-posed inverse problem. To tackle this problem, a novel two-stage image reconstruction strategy is proposed in this work. It combines the advantages of total generalized variation regularization method and tight wavelet approach. The solution of the proposed method is acquired by employing alternating minimization algorithm and spilt Bregman algorithm. In the numerical simulation, reconstruction of five models is studied. Aside from the visual observation, we have also validated the proposed method with quantitative comparison. Meanwhile, the impact of noise on the reconstruction is considered. Furthermore, the proposed method is evaluated by phantom experimental data. The simulation and experimental results have demonstrated the superior performance of the proposed method in visualizing conductivity distribution.

H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning

The longstanding goals of federated learning (FL) require rigorous privacy guarantees and low communication overhead while holding a relatively high model accuracy. However, simultaneously achieving all the goals is extremely challenging. In this paper, we propose a novel framework called hierarchical federated learning (H-FL) to tackle this challenge. Considering the degradation of the model performance due to the statistic heterogeneity of the training data, we devise a runtime distribution reconstruction strategy, which reallocates the clients appropriately and utilizes mediators to rearrange the local training of the clients. In addition, we design a compression-correction mechanism incorporated into H-FL to reduce the communication overhead while not sacrificing the model performance. To further provide privacy guarantees, we introduce differential privacy while performing local training, which injects moderate amount of noise into only part of the complete model. Experimental results show that our H-FL framework achieves the state-of-art performance on different datasets for the real-world image recognition tasks.

Graded Reconstruction Strategy Using a Multi-Layer Technique without Lumbar Drainage After Endoscopic Endonasal Surgery

Introduction Sellar reconstruction following endoscopic endonasal surgery (EES) requires modification based on the degree of cerebrospinal fluid (CSF) leak. For high-flow (grade II or III) intraoperative CSF leak, lumbar drainage (LD), in addition to the multi-layer closing technique, is generally recommended. However, LD has complications occasionally, including post-puncture headache, over-drainage symptoms, and increased length of stay (LOS). We retrospectively evaluated the outcome of our graded reconstruction strategy using a multi-layer technique with a novel material, without LD, after EES.Methods Ninety-seven patients who underwent EES with grade II or III intraoperative CSF leak between June 2020 and March 2021 were retrospectively reviewed. For grade II CSF leak, fibrin sealant and a nasoseptal flap (NSF) were placed; for grade III CSF leak, a multi-layer technique was utilized in combination with collagen matrix, an acellular dermal graft, injectable hydroxyapatite (HXA), and an NSF. Postoperatively, routine LD was not performed.Results This study included 48 (49.5%) grade II and 49 (50.5%) grade III CSF leaks. Upon follow-up period (mean, 8.7 months), no patient showed postoperative CSF leak in either group. The postoperative LOS was not significantly different between the grade II (6.68 [range, 3–14] days) and grade III CSF leak groups (7.38 [range, 4–15] days) (p>0.05). No HXA-associated complications occurred.ConclusionsA graded surgical repair strategy after EES could avoid postoperative CSF leak. Combined use of injectable HXA and acellular dermal grafts for high-flow CSF leak can limit LD requirement, without significant risks.