Mental Health Needs and Resources in Christian Communities of South Korea

In an effort to understand the mental health needs and resources of Korean Christians, we collected quantitative and qualitative data through surveys and interviews with Korean pastors and Christian educators. Several mental health concerns were identified: the high level of daily stress faced by many Koreans, marriage and family concerns, conflicts between Korean culture and the teachings of the church, and a tendency to keep emotional discomfort suppressed. Mental health resources include deep spiritual commitment to a life of prayer, high levels of commitment to family and community, cultural values of persistence and patience, and reliance on Christian communities for spiritual hope and meaningful interpersonal relationships

Critical Review on Economic Effect of Renovation Works for Sustainable Office Building Based on Opinions of Real-Estate Appraisers

Despite increased renovation work for office buildings to improve energy performance, studies on the appraisal of renovated office buildings (ROB) are scarce. Thus, this study analyzed the perceptions of appraisers regarding renovation work and the effect of renovation work on the economic value of office buildings. Following a reliability evaluation, research results were derived using various methodologies, such as descriptive statistics, Chi-square analysis, analytic hierarchical process, and structural equation modeling, based on the survey results of 118 appraisers. The renovation work was found to positively increase an office building’s value, although the existing appraisal methods have low applicability considering the appraisal of ROB. On evaluating the importance of each factor considered in the ROB appraisal process, the factors related to the “location” of ROB were deemed more important than the attributes directly changed as a result of renovation work. Moreover, factors whose attributes were changed (e.g., working environment, green space, lease area, gross area of floors, number of floors, and number of parking spaces) were found to be critical factors affecting ROB value. The results of this study are expected to provide improvement directions for ROB appraisal methods and significantly aid building owners

Critical Review on Economic Effect of Renovation Works for Sustainable Office Building Based on Opinions of Real-Estate Appraisers

Despite increased renovation work for office buildings to improve energy performance, studies on the appraisal of renovated office buildings (ROB) are scarce. Thus, this study analyzed the perceptions of appraisers regarding renovation work and the effect of renovation work on the economic value of office buildings. Following a reliability evaluation, research results were derived using various methodologies, such as descriptive statistics, Chi-square analysis, analytic hierarchical process, and structural equation modeling, based on the survey results of 118 appraisers. The renovation work was found to positively increase an office building’s value, although the existing appraisal methods have low applicability considering the appraisal of ROB. On evaluating the importance of each factor considered in the ROB appraisal process, the factors related to the “location” of ROB were deemed more important than the attributes directly changed as a result of renovation work. Moreover, factors whose attributes were changed (e.g., working environment, green space, lease area, gross area of floors, number of floors, and number of parking spaces) were found to be critical factors affecting ROB value. The results of this study are expected to provide improvement directions for ROB appraisal methods and significantly aid building owners

Incorporation of Potential Fields and Motion Primitives for the Collision Avoidance of Unmanned Aircraft

Collision avoidance (CA) using the artificial potential field (APF) usually faces several known issues such as local minima and dynamically infeasible problems, so unmanned aerial vehicles’ (UAVs) paths planned based on the APF are safe only in a certain environment. This research proposes a CA approach that combines the APF and motion primitives (MPs) to tackle the known problems associated with the APF. Since MPs solve for a locally optimal trajectory with respect to allocated time, the trajectory obtained by the MPs is verified as dynamically feasible. When a collision checker based on the k-d tree search algorithm detects collision risk on extracted sample points from the planned trajectory, generating re-planned path candidates to avoid obstacles is performed. After rejecting unsafe route candidates, one applies the APF to select the best route among the remaining safe-path candidates. To validate the proposed approach, we simulated two meaningful scenario cases—the presence of static obstacles situation with local minima and dynamic environments with multiple UAVs present. The simulation results show that the proposed approach provides smooth, efficient, and dynamically feasible pathing compared to the APF

Model for predicting price change patterns in multi-family houses post renovation work in South Korea

Renovation work on deteriorated multi-family houses (MFHs) is often undertaken to improve their physical performance. However, due to uncertainties in economic benefits from renovation, many MFHs frequently withdraw their renovation plans in South Korea. Despite this problem, there has been very little research on countering this issue. With this background, this study aims to develop a model for predicting the price change patterns (MPPCP) of deteriorated MFHs upon renovation in South Korea. An artificial neural network (ANN)-based MPPCP was developed to detect the relationship between project attributes and price change patterns due to renovations. By combining the parameters of the ANN method, 108 candidate models were identified and a final MPPCP was proposed after conducting simulation tests to verify the level of correct for the candidate`s models. The results of model application to actual MFH renovation cases show that the developed model can facilitate a project owner’s decision-making by estimating price change patterns for the deteriorated MFH in the project planning stage itself

Machine Learning-Based Code Auto-Completion Implementation for Firmware Developers

With the advent of artificial intelligence, the research paradigm in natural language processing has been transitioned from statistical methods to machine learning-based approaches. One application is to develop a deep learning-based language model that helps software engineers write code faster. Although there have already been many attempts to develop code auto-completion functionality from different research groups, a need to establish an in-house code has been identified for the following reasons: (1) a security-sensitive company (e.g., Samsung Electronics) may not want to utilize commercial tools given that there is a risk of leaked source codes and (2) commercial tools may not be applicable to the specific domain (e.g., SSD firmware development) especially if one needs to predict unique code patterns and style. This research proposes a hybrid approach that harnesses the synergy between machine learning techniques and advanced design methods aiming to develop a code auto-completion framework that helps firmware developers write code in a more efficient manner. The sensitivity analysis results show that the deterministic design results in reducing prediction accuracy as it generates output in some unexpected ways, while the probabilistic design provides a list of reasonable next code elements in which one could select it manually to increase prediction accuracy

Effects of Half-Precast Concrete Slab System on Construction Productivity

A half-precast concrete slab system (HPCSS) is reported to exhibit excellent structural performance when compared with traditional slab systems. However, there is a lack of extant research examining the construction issues of an HPCSS. Thus, in this study, we analyze the construction process and productivity of applying an HPCSS by using a simulation method with the data collected from an actual construction case. The results indicate that (i) the construction productivity of HPCSS is 1.7 times that of a traditional slab system, (ii) the cost per productivity unit of HPCSS exceeds that of a traditional slab system, and (iii) critical resources affecting the HPCSS productivity include form crew and rebar crew. The results of this study suggest that it is possible to develop an optimal construction plan of a construction site in which an HPCSS is installed, and that the HPCSS can be actively applied in the future

Static Load Characteristics of Hydrostatic Journal Bearings: Measurements and Predictions

Hydrostatic bearings for liquid rocket engine turbopumps provide distinctive advantages, including high load capacity even with low viscosity cryogenic fluid and extending life span by minimizing friction and wear between rotor and bearing surfaces. Application of hydrostatic bearings into turbopumps demands a reliable test database with well-quantified operating parameters and experimentally validated accurate performance predictive tools. The present paper shows the comprehensive experimental data and validation of predicted static load characteristics of hydrostatic journal bearings lubricated with air, water, and liquid nitrogen. Extensive experiments for static load characteristics of hydrostatic bearings are conducted using a turbopump-rotor-bearing system simulator while increasing supply pressure (Ps) into the test bearings. The test results demonstrate notable effects of the test fluids and their temperatures, as well as Ps, on the bearing performance. In general, the measured bearing flow rate, rotor displacement, and stiffness of the test bearings steadily increase with Ps. The static load bearing characteristics predictions considering flow turbulence and compressibility matched well with the experimental results. The work with independent test data and engineering computational programs will further the implementation of hydrostatic bearings in high-performance turbopump shaft systems with improved efficiency and enhanced reusability of liquid rocket engine sub-systems

Treatment of a Large Defect Induced by Atrophic Nonunion of Femoral Fracture in a Dog with Autogenous Coccygeal Bone Grafting

An 11-month-old castrated male Pomeranian presented with nonunion following a femoral fracture that occurred after femoral head and neck osteotomy. Radiography and computed tomography revealed severe atrophy of the proximal bone fragment and retardation of the ipsilateral distal fragment and tibia. An autogenous bone graft using coccygeal bone was performed, in which three and a half coccyges were placed in succession and fixed using an orthogonal locking plate. To promote bone healing and facilitate proper weight bearing and ambulation, bone morphogenetic proteins, biphasic calcium phosphate, platelet-rich plasma, passive-range-of-motion exercises, transcutaneous electrical nerve stimulation, neuromuscular electrical stimulation, and low-level laser therapy were applied. During the four-year follow-up, it was observed that the previously engrafted bone healed well and maintained stability over a prolonged period, resulting in the patient being able to walk comfortably with good outcomes. However, some degree of lameness was noted in the dog when running owing to limb shortening and joint contracture