Miracle-dz/UniFAR-FTUs huggingface dataset:
Studying Customers' Satisfaction with Service Quality of Life Insurance in Vietnam

Purpose: Studying key factors affecting customer satisfaction based on the service quality of life insurance in Vietnam, and on that basis, the author proposed policy implications that contribute to improving customer satisfaction with the service quality of life insurance. Theoretical framework: Service quality is a factor that significantly affects customer satisfaction. If service providers provide customers with quality products that satisfy their needs, the business has initially made customers satisfied. Design/methodology/approach: Group interview method implemented in qualitative research. The study was conducted to collect the opinions of 07 managers working at life insurance companies in Vietnam. The quantitative research method used the formal study (n = 500 customers): Preliminary research sample was performed by preliminary analysis through Cronbach's alpha coefficient and EFA discovery factor to evaluate the convergent and discriminant value of the scale. This study used the structural equation model analysis (SEM) with SPSS 20.0 software and Amos. Findings: The article showed that research results bring practical value in improving customer satisfaction in Vietnam. Company leaders recognize the importance of enhancing customer satisfaction. Research, Practical & Social implications: The study has synthesized the theory of service quality and customer satisfaction. In addition, the study has systematized the relationship between the factors measuring the service quality of life insurance and customer satisfaction. Originality/value: The paper's originality and value help managers calibrate and evaluate the scale and develop it into a set of observed variables measuring the service quality of life insurance and customer satisfaction in a transition market like Vietnam. The topic contributes to a new study on customer satisfaction in life insurance services, a document for other research in the life insurance field in Vietnam.
Resident Physician Education in the Human Trafficking Medical Safe Haven

INTRODUCTION Human trafficking is a widespread public health problem across the United States. In recognition of the incredible need among victims and survivors of human trafficking for longitudinal, trauma-informed care, the Medical Safe Haven (MSH) was developed in 2016 through the Dignity Health Family Medicine Residency Program in Sacramento, California, and subsequently expanded to 2 other Dignity Health residency program sites. The MSH program included 3 sessions of trafficking-specific curriculum for resident physicians to prepare them to provide care for MSH patients. The current study aimed to evaluate resident physician learner confidence after participating in the MSH curriculum along with perceptions of the MSH program as a whole upon their graduation. METHODS The study was a retrospective, preassessment/postassessment design. Resident physicians completed surveys that assessed learner confidence after each of the 3 training sessions, utilizing Likert scale items. Third-year resident physicians also completed a survey that included scaled and open-ended questions. Paired t-tests were used to evaluate the data in addition to content analysis for the open-ended questions. RESULTS There were significant increases in learner confidence after the training sessions on all items measured, including identifying and caring for victims and survivors of trafficking. Third-year residents responded that the MSH program helped them to more effectively communicate and care for victims and survivors and many planned to take the trauma-informed care model to their future practices. CONCLUSION While generalizability of the study was limited due to the retrospective design, the MSH program was found to have a meaningful impact on the resident physicians who participated in the training.
Silagem mista de sorgo e palma forrageira: composição, digestibilidade, fermentação e perdas

A produção de silagens mistas pode ser importante estratégia para armazenamento e beneficiamento dos alimentos para ruminantes em regiões áridas e semiáridas. Objetivou-se avaliar efeito de níveis de inclusão de palma forrageira na ensilagem do sorgo sobre composição químico-bromatológica, perdas, digestibilidade in vitro e perfil fermentativo. Foram produzidas silagens de sorgo com adição de 0, 10, 20, 30 e 40% de palma forrageira com base na matéria natural. Utilizou-se silos experimentais preenchidos com as misturas e fechados hermeticamente. Após 34 dias de fermentação os silos foram abertos e as amostras analisada quanto a composição, digestibilidade, perfil fermentativo e perdas na ensilagem. A inclusão de palma forrageira influenciou de forma quadrática negativa (P < 0,05) os teores de matéria seca (MS), extrato etéreo, fibra em detergente neutro, fibra em detergente ácido e celulose da silagem de sorgo. The DM concentration decreased from 35.83 to 25.43% for the control treatment (0%) to the 20% treatment, followed by stabilization at values close to 26 ± 1% in subsequent levels. A digestibilidade in vitro e os nutrientes digestíveis totais das silagens aumentaram linearmente (P < 0,05) com a inclusão de palma forrageira. Contudo, houve incremento linear (P < 0,05) do pH, nitrogênio amoniacal, ácido acético e ácido butírico com a inclusão de palma forrageira, atingido valores indicativos de limitação do processo fermentativo a partir do nível de 20% de inclusão. A inclusão de palma forrageira na ensilagem do sorgo não influenciou (P > 0,05) as perdas por gases, efluentes, e recuperação de MS da silagem. A adição até 10% de palma forrageira pode ser recomendada para beneficiar características químico-bromatológica, digestibilidade e fermentação da silagem de sorgo.
3-D Printed Filtering Rat-Race Couplers Using Hemispherical Cavity Resonator

In this article, a new approach for designing 3-D printed single- and dual-band filtering rat-race couplers based on hemispherical cavities is presented, for the first time. By constructing two types of multiplexing multimode topologies in dual-cavity configurations, both single- and dual-band filtering rat-race couplers are developed. In these designs, a pair of TM201 degenerate modes form the passband for single-band operation, while dual-band operation is realized by exciting an additional pair of TE101 degenerate modes. Due to the natural $E$ -field distributions of these modes, the desired 0° and 180° phase differences and isolations can be realized between output ports without additional matching circuits. By elaborately placing the internal coupling slots and input–output ports, desired filtering responses and phase requirements can be flexibly attained for both single- and dual-band filtering rat-race coupler designs. For demonstration, two prototypes are well implemented as monoblock circuits using 3-D-printing technology. Compared with the up-to-date designs, the proposed works exhibit the merits of compact size, high $Q$ -factor, lightweight, good single- and dual-band filtering responses with controllable bandwidths and center frequencies, nice phase difference characteristics as well as flexible extendable topologies.
A novel composite vibration control method using double-decked floating raft isolation system and particle damper

This paper presents a composite vibration control method that uses a double-decked floating raft isolation system and particle dampers to control the severe vibration of a heavy compressor set. In view of the structural characteristics of the compressor set, a mechanical impedance method is employed to investigate the acceleration transfer ratios of the double-decked floating raft isolation system, and to design three isolating schemes. Numerical results indicate that the particle damping technology does not disturb the isolating performance of the double-decked floating raft isolation system while reducing only its acceleration amplitude. To improve the damping performance of particle dampers, an anti-resonance method and a co-simulation technique are used to optimize the installation location of the particle dampers, as the damping effect is related to the vibrating velocity at the damper’s position. Furthermore, two types of particle damper—cylindrical and cuboid—are designed, based on conclusions drawn from experiments using the anti-resonance method. The damping effectiveness of the particle damper scheme is also examined using the co-simulation technique; results indicate that the proposed installation scheme can effectively suppress the vibration of the compressor rack. In addition, the presented schemes using the composite vibration control method are verified and compared in on-site experiments, and results demonstrate that the third isolating scheme presented, combined with particle damping technology, is best in controlling vibration of the compressor set.
Deep Learning Based Solar Flare Forecasting Model. I. Results for Line-of-sight Magnetograms

Solar flares originate from the release of the energy stored in the magnetic field of solar active regions, the triggering mechanism for these flares, however, remains unknown. For this reason, the conventional solar flare forecast is essentially based on the statistic relationship between solar flares and measures extracted from observational data. In the current work, the deep learning method is applied to set up the solar flare forecasting model, in which forecasting patterns can be learned from line-of-sight magnetograms of solar active regions. In order to obtain a large amount of observational data to train the forecasting model and test its performance, a data set is created from line-of-sight magnetogarms of active regions observed by SOHO/MDI and SDO/HMI from 1996 April to 2015 October and corresponding soft X-ray solar flares observed by GOES. The testing results of the forecasting model indicate that (1) the forecasting patterns can be automatically reached with the MDI data and they can also be applied to the HMI data; furthermore, these forecasting patterns are robust to the noise in the observational data; (2) the performance of the deep learning forecasting model is not sensitive to the given forecasting periods (6, 12, 24, or 48 hr); (3) the performance of the proposed forecasting model is comparable to that of the state-of-the-art flare forecasting models, even if the duration of the total magnetograms continuously spans 19.5 years. Case analyses demonstrate that the deep learning based solar flare forecasting model pays attention to areas with the magnetic polarity-inversion line or the strong magnetic field in magnetograms of active regions.
Exploring the Patient Educational Challenges Experienced by Healthcare Professionals Working with Heart Failure Patients: A Narrative Inquiry

This study explores the experience of two healthcare professionals regardingthe patient educational challenges when working with heart failure patients. This is alsoenriched by the authors experience as a caregiver to such a patient. The study was basedon a qualitative research design using narrative inquiry. This methodology was used inorder to elicit the participants rich experiences. In-depth interviews were used togetherwith follow-up discussions and communication with participants. Data was analysedusing thematic narrative analysis. Following this process, five central themes emerged: (1.)Patients uncertainty about the condition until they start the educational process; (2.) Theimportance of education and self-care for all heart failure patients to reduce admissionsand save lives; (3.) Educational challenges faced by healthcare professionals and adaptationthrough professional experience; (4.) Caregivers crucial participation in good self-careand in mitigating educational challenges; and (5.) Strengthening timeliness and resourcesavailable for education. The study also contributed towards two models that emergedfrom the narratives: (1.) The Patient Educational Process Model; and (2.) Involvement ofcaregivers in the Patient Educational Process Model. Various recommendations were alsoprovided with practical applications for the health sector and for the educational sector.
Deep Learning-Based Leaf Region Segmentation Using High-Resolution Super HAD CCD and ISOCELL GW1 Sensors

Super HAD CCD and ISOCELL GW1 imaging sensors are used for capturing images in high-resolution cameras nowadays. These high-resolution camera sensors were used in this work to acquire black gram plant leaf diseased images in natural cultivation fields. Segmenting plant leaf regions from the black gram cultivation field images is a preliminary step for disease identification and classification. It is also helpful for the farmers to assess the plants’ health and identify the diseases in their early stages. Even though plant leaf region segmentation has been effectively handled in many contributions, no universally applicable solution exists to solve all issues. Therefore, an approach for extracting leaf region from black gram plant leaf images is presented in this article. The novelty of the proposed method is that MobileNetV2 has been utilized as a backbone network for DeepLabv3+ layers to segment plant leaf regions. The DeepLabv3+ with MobileNetV2 segmentation model exhibited superior performance compared to the other models (SegNet, U-Net, DeepLabv3+ with ResNet18, ResNet50, Xception, and InceptionResNetV2) in terms of accuracy of 99.71%, Dice of 98.72%, and Jaccard/IoU of 97.47% when data augmentation was applied. The algorithms were developed and trained using MATLAB software. Each of the experimental trials reported in this article surpasses the prior findings.
Goodness‐of‐fit tests for Lévy‐driven Ornstein‐Uhlenbeck processes

Lévy‐Driven Ornstein‐Uhlenbeck (or CAR(1)) processes have been introduced in the literature as a model for stochastic volatility. A general formula to recover the unobserved driving process from a continuously observed CAR(1) was developed. When the CAR(1) process is observed at discrete times, the driving process must be approximated. Approximated increments of the driving process are used to test the hypothesis that the CAR(1) belongs to a specified class of Lévy processes. Two goodness‐of‐fit tests are proposed. The performance of the tests is illustrated through simulation. The Canadian Journal of Statistics 46: 355–376; 2018 © 2018 Statistical Society of Canada
A study of the robustness of magic state distillation against Clifford gate faults

Quantum error correction and fault-tolerance are at the heart of any scalable quantum computation architecture. Developing a set of tools that satisfy the requirements of faulttolerant schemes is thus of prime importance for future quantum information processing implementations. The Clifford gate set has the desired fault-tolerant properties, preventing bad propagation of errors within encoded qubits, for many quantum error correcting codes, yet does not provide full universal quantum computation. Preparation of magic states can enable universal quantum computation in conjunction with Clifford operations, however preparing magic states experimentally will be imperfect due to implementation errors. Thankfully, there exists a scheme to distill pure magic states from prepared noisy magic states using only operations from the Clifford group and measurement in the Z-basis, such a scheme is called magic state distillation [1]. This work investigates the robustness of magic state distillation to faults in state preparation and the application of the Clifford gates in the protocol. We establish that the distillation scheme is robust to perturbations in the initial state preparation and characterize the set of states in the Bloch sphere that converge to the T -type magic state in different fidelity regimes. Additionally, we show that magic state distillation is robust to low levels of gate noise and that performing the distillation scheme using noisy Clifford gates is a more efficient than using encoded fault-tolerant gates due to the large overhead in fault-tolerant quantum computing architectures.
A sharp threshold for rainbow connection in small-world networks

An edge-colored graph G is rainbow connected if any two vertices are connected by a path whose edges have distinct colors. The rainbow connection of a connected graph G , denoted by rc.G/ , is the smallest number of colors that are needed in order to make G rainbow connected. We prove that p D p ln n=n is a sharp threshold function for the property rc.S. n;p;H// (cid:20) 2 in the small-world networks. As by-products, our extension of the concept of independence in graph theory and generalized small-world network models are of independent interest.
Inverse source problem and inverse diffusion coefficient problem for parabolic equations with applications in geology

This dissertation deals with inverse problems for parabolic partial differential equations with an integral constraint and their applications in geology. We employ analytical and numerical methods to analyze and approximate solutions of these inverse problems. We consider an inverse diffusion coefficient problem for a parabolic equation that arises in science and engineering, specifically, in geochronology, a branch of geology in which radiometric ages are determined for rock formations and geological events. We investigate the corresponding direct problem, where we use a finite element approximation for a 2D model to describe the distribution of argon in mica crystals. Using a fixed point method, we show that the inverse coefficient problem has a unique classical solution that depends continuously on the data. We also consider an inverse source problem for a parabolic equation with Dirichlet and Neumann boundary conditions. We prove the existence of both weak and classical solutions to the inverse source problem subject to the Dirichlet boundary condition by means of the Rothe method and the semigroup method, respectively. An energy method is used to show uniqueness. In addition, we establish the existence and uniqueness of solutions to the inverse source problem with the Neumann boundary condition. We derive and implement numerical schemes that are used to compute approximate solutions of the inverse diffusion coefficient problem and solutions of the inverse source problem with the Dirichlet boundary condition. Our numerical algorithms employ a finite element discretization in space and the implicit Euler method in time. To assess the accuracy of the approximation, we compute the errors and estimate the rates of convergence. We conducted numerical experiments using the mathematical programming software MATLAB. We finally outline a discussion of possible future work.
Identification and Evolutionary Analysis of Cotton (Gossypium hirsutum) WOX Family Genes and Their Potential Function in Somatic Embryogenesis

WUSCHEL-related homeobox (WOX) proteins participate profoundly in plant development and stress responses. As the difficulty of somatic embryogenesis severely constrains cotton genetic modification, in this study, we identified and comprehensively analyzed WOX genes in cotton. As a result, 40 WOX genes were identified in the upland cotton genome. All these cotton WOX genes were classified into three clades, ancient, intermediate, and modern clades, based on the phylogenetic analysis of previous studies. The majority (24) of the cotton WOX genes belonged to the modern clade, in which all gene members contain the vital functional domain WUS-box, which is necessary for plant stem cell regulation and maintenance. Collinearity analysis indicated that the WOX gene family in cotton expanded to some degree compared to Arabidopsis, especially in the modern clade. Genome duplication and segmental duplication may greatly contribute to expansion. Hormone-response- and abiotic-stress-response-related cis-acting regulatory elements were widely distributed in the promoter regions of cotton WOX genes, suggesting that the corresponding functions of stress responses and the participation of development processes were involved in hormone responses. By RNA sequencing, we profiled the expression patterns of cotton WOX genes in somatic embryogenesis. Only about half of cotton WOX genes were actively expressed during somatic embryogenesis; different cotton WOX genes may function in different development stages. The most representative, GhWOX4 and GhWOX13, may function in almost all stages of somatic embryogenesis; GhWOX2 and GhWOX9 function in the late stages of embryo patterning and embryo development during cotton somatic embryogenesis. Co-expression analysis showed that the cotton WOXs co-expressed with genes involved in extensive genetic information processing, including DNA replication, DNA repair, homologous recombination, RNA transport, protein processing, and several signaling and metabolism pathways, in which plant hormones signal transduction, MAPK signaling pathways, phosphatidylinositol signaling systems, and ABC transporters, as well as the metabolism of fatty acid; valine, leucine, and isoleucine biosynthesis; and cutin, suberine, and wax biosynthesis, were most significantly enriched. Taken together, the present study provides useful information and new insights into the functions of cotton WOX genes during somatic embryogenesis. The specific regulatory roles of some WOX genes in somatic embryogenesis are worthy of further functional research.
Human-rabbit Hybrid Translation System to Explore the Function of Modified Ribosomes

In vitro translation systems are a useful biochemical tool to research translational regulation. Although the preparation of translation-competent cell extracts from mammals has often been a challenge, the commercially available rabbit reticulocyte lysate (RRL) is an exception. However, its valid use, investigating the mechanism of translation machinery such as ribosomes in RRL, presents an analytic hurdle. To overcome this issue, the hybrid translation system, which is based on the supplementation of purified human ribosomes into ribosome-depleted RRL, has been developed. Here, we describe the step-by-step protocol of this system to study translation driven by ribosomes lacking post-translational modifications of the ribosomal protein. Moreover, we combined this approach with a previously developed reporter mRNA to assess the processivity of translation elongation. This protocol could be used to study the potency of heterologous ribosomes.