Factors influencing length of stay and costs in inpatient cases of human brucellosis as the primary diagnosis over a decade in Beijing, China.

Aims: In the year 2021, human brucellosis ranked fifth in terms of the number of cases among all statutorily notifiable infectious diseases in China, thus remaining a significant concern for public health. This study aims to provide insights into the financial burden of human brucellosis by examining hospital stays and associated costs for affected individuals. Methods: In this retrospective study, we gathered updated data from 467 inpatient cases primarily diagnosed with human brucellosis at eight major tertiary hospitals in Beijing, China, spanning from 2013 to 2023. To comprehensively explore the economic impact on individuals, we not only analyzed the duration of hospital stays and total costs but also examined various charge types, including drug, lab test, medical imaging, medical treatment, surgical procedures, medical supplies and consumables, inpatient bed care, nursing services, and other services costs. Statistical analysis was employed to compare differences among gender, age, ethnicity, type of health insurance, condition at admission, comorbidity index, the performance of surgery, and the site of infection. Results: Both the length of stay and total cost exhibited significant variations among insurance, surgery, and infection site groups. Utilization categories demonstrated significant differences between patients who underwent surgery and those who did not, as well as across different infection sites. Furthermore, multiple linear regression analysis revealed that the condition at admission, Elixhauser comorbidity index, infection site, and surgery influenced both hospital stay and total cost. In addition, age and insurance type were associated with total costs. Conclusion: By delving into various utilization categories, we have addressed a significant gap in the literature. Our findings provide valuable insights for optimizing the allocation and management of health resources based on the influencing factors identified in this study.

[Assessment of auditory perception of children with single-sided deafness after cochlear implantation].

Unilateral deafness will lead to the decline of children's speech recognition rate, language development retardation and spatial positioning ability, which will have many adverse effects on children's life and study. Cochlear implantation can help children rebuild binaural hearing, and systematic audiological evaluation after operation is particularly important for clinicians to evaluate the hearing recovery of children. In this study, a variety of commonly used audiological evaluation, testing processes and methods after cochlear implantation in children with unilateral deafness are described in detail, and the related research status and results are summarized.

Suboptimal status of tummy time for infants in early childhood education institutions in urban China: A cross-sectional study.

Background: Although tummy time is recommended as a form of physical activity for non-movable infants worldwide, little is known regarding the current status of tummy time practices among Chinese infants. Early childhood education (ECE) institutions provide children with rich learning experiences; however, tummy time practices among infants in these ECE institutions were unclear. This study aimed to investigate the status of tummy time among infants within the context of ECE institutions. Methods: We conducted a cross-sectional survey with primary caregivers of infants aged 0-11 months across 31 provinces of China from 1 March to 30 April 2023. To recruit participants, we collaborated with Gymboree Play & Music, an ECE institution with over 500 centres in nearly 200 cities in urban China. Our survey instrument was developed based on the World Health Organization (WHO) guidelines and literature to collect data on infants' tummy time practices, caregivers' tummy time knowledge and information sources. We used self-administered questionnaires through WeChat, in which participants scanned a quick response (QR) code to complete the questionnaire. Results: We included 1040 infants and their primary caregivers, with 504 infants aged 0-5 and 536 infants aged 6-11 months old. Less than half of infants (48.2%) started tummy time in the neonatal period, with 20.5% starting within two weeks after birth. Only 27.2% of infants engaged in at least 30 minutes of tummy time during the last 24 hours, with infants aged 0-5 months significantly lower than those aged 6-11 months (21.6 vs 32.5%, P < 0.0001). No significant difference was found between attending ECE class and non-attending ECE class groups for the proportion of infants with tummy time ≥30 minutes per day (28.9 vs 23.4%, P = 0.0625); however, infants aged 0-5 months in the attending group engaged in longer duration of tummy time than those in the non-attending group (P = 0.0005). The compliance with the tummy time guidelines in infants receiving long-nurturing care was significantly higher than those receiving short-nurturing care (30.4 vs 22.1%, P = 0.0036). Only 42.7% of caregivers knew that at least 30 minutes daily tummy time was necessary for infant, and more primary caregivers in the attending group knew that, compared to the non-attending group (45.3 vs 36.8%, P = 0.0098). Conclusions: The current status of infants' tummy time practices and caregivers' knowledge are generally suboptimal within the context of ECE institutions in urban China. Longer nurturing time contributes to higher compliance with tummy time guidelines. Effectively promoting tummy time practices through multiple channels in China is crucial.

Fast or stable: Research on dynamic behaviors of duopoly automakers under the background of energy transformation in the automobile industry.

New energy vehicles (NEVs) are crucial way to solving environmental and energy dilemmas. However, the transition from traditional energy vehicles (TEVs) to NEVs is extremely intricate. If the process for TEVs switching to NEVs falls into out order, the automobile industry will be shaken. This paper takes electric vehicles (EVs), representing NEVs, and internal combustion engine vehicles (ICEVs), representing TEVs, as research objects, and constructs a dynamic Gounod duopoly model for the production decisions of two oligopolistic automakers under the dual credit policy. Combining the nonlinear dynamic theory and Cournot game, the influence of policy, market, technology, and cost on the stability of duopoly automakers' dynamic production game equilibrium and the nonlinear evolution characteristics of Cournot-Nash equilibrium are analyzed systematically. Results show that: (1) In the transition from ICEVs to EVs, if the speed of production adjustment is too fast, the automobile system would trap into chaos and shakeouts, and the social welfare would show volatility. (2) The revised dual credit policy increases the credit ratio and decreases the credit coefficient which enhances the stability of automobile system. This revision may accelerate the transformation from ICEVs to EVs in the automobile industry. Especially, the credit coefficient plays a more significant role. (3) The consumer acceptance for vehicle prices and the range of EV are positively correlated with the production of EVs and the social welfare, and negatively correlated with the production of ICEVs. Nevertheless, the cost of the two types of vehicle had the opposite effect compared price acceptance and range of EVs.

[Medium and Long-term Carbon Emission Projections and Emission Reduction Potential Analysis of the Lingang Special Area Based on the LEAP Model].

Based on the existing statistical data of the Lingang Special Area in Shanghai and considering its future socio-economic development， industrial structure， and technological development， a LEAP-Lingang model was developed to analyze the evolution trends of energy demand and carbon emissions under the baseline scenario， low-carbon scenario， and enhanced low-carbon scenario. To enhance the prediction accuracy of the model， the Logistic population growth model was used to predict future population data， and the learning curve model was used to simulate the cost evolution trend of related carbon reduction technologies. In addition， an economic evaluation model for carbon reduction technologies was developed， and the economic costs and emission reduction potential of typical carbon reduction technologies were evaluated by drawing a marginal emission reduction cost curve. The results showed that under the enhanced low-carbon scenario， the renewable energy accounted for 69% of the primary energy consumption， and the electric energy accounted for 91% of the terminal energy demand in 2060. The Lingang Special Area could achieve carbon peak by 2030， and the carbon emissions in 2060 were predicted to decrease by 94% compared to that in the baseline scenario. In terms of contribution to emission reduction， clean energy substitution， industrial structure optimization， and terminal energy efficiency improvement played a key role in reducing carbon emissions near the port. In the medium term （until 2035）， they were predicted to contribute 35.1%， 27.3%， and 16.2% of carbon emissions， respectively， and in the long term （until 2060）， they should contribute 50.6%， 8.75%， and 7.7% of carbon emissions， respectively. Regarding specific carbon reduction technologies， hydrogen power generation； water electrolysis for hydrogen； and carbon capture， utilization， and storage （CCUS） technology were of great significance for achieving net-zero emissions， but the costs of emission reduction were relatively high. The research results can provide ideas and references for the low-carbon and green development of the Lingang Special Area and related areas.

Instrumental safety net configurations and changes over time among economically marginalized families.

Poverty, a social determinant of health, disproportionately affects families with children. Public and private safety nets, or support networks available in times of need, can help address poverty and its consequences. Independently, strong safety nets (public or private) promote health and well-being, yet little is known about how private and public safety nets combine and evolve over time. Using latent class and latent transition analyses, this study examined public and private safety net configurations of mothers with low-income, sociodemographic characteristics associated with these configurations, and safety net changes over time. Using data from the Future of Families and Child Wellbeing Study from child ages 1, 5, and 9 (N = 2,251), results indicated that mothers were sorted into four safety net configurations (public support only, private support only, all high, and all low) and 30%-53% of each class of mothers transitioned from one safety net configuration to another at the next neighboring wave, underscoring the importance of examining both public and private supports simultaneously and longitudinally. Membership in configurations with low private support (e.g., public only, all low) and sociodemographic disadvantage (e.g., more poverty, recent experience of hardship) predicted transitions, commonly leaving mothers without advantage in the riskiest safety nets. To promote a more responsive, equitable safety net, lengthening public safety net program certification periods and increasing outreach efforts (e.g., through schools, churches) to potentially eligible mothers could strengthen and stabilize safety nets to lessen poverty and its consequences for economically marginalized families. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The global burden of lower respiratory infections attributable to respiratory syncytial virus in 204 countries and territories, 1990-2019: findings from the Global Burden of Disease Study 2019.

AIMS: The purpose of this study is to investigate the global epidemiological characteristics of lower respiratory infections (LRI) burden attributable to respiratory syncytial virus (RSV) from 1990 to 2019. MATERIALS AND METHODS: We used the recent Global Burden of Disease Study (GBD) 2019 to systematically evaluate the current burden and temporal trend of LRI burden attributable to RSV by global, age, sex, geographic location, and socio-economic status. RESULTS: Globally, the disability-adjusted life years (DALYs) cases of LRI attributable to RSV dropped from an estimated 39,964,488 [95% uncertainty interval (UI): 16,825, 572 to 68,800,553] in 1990 to 14,956,514 (95%UI: 6,271,751 to 25,910,753) in 2019 and estimated death cases droped from 541,172 (95%UI:226,614 to 958,596) to 338,495 (95%UI:126,555 to 667,109) from1990 to 2019. Similarly, age-standardized DALYs rate of LRI attributable to RSV decreased from an estimated 646.2 (95%UI: 276.9 to 1121.5) in 1990 to 218.3 (95%UI:92.1 to 376.8) in 2019 and estimated age-standardized deaths rate decreased from 10.3 (95%UI:4.1 to 18.5) to 4.8 (95%UI:1.8 to 9.3) between 1990 and 2019. In 2019, the highest age-standardized DALYs and death rates of LRI attributable to RSV were seen in the lower SDI regions, children and old people. From 1990 to 2019, age-standardized DALYs and death rates of LRI attributable to RSV decreased with increasing SDI. CONCLUSIONS: In this study, we found that the LRI burden attributable to RSV decreased significantly from 1990 to 2019. However, the lower SDI regions, children and old people urgently require cost-effective interventions to prevent and reduce the LRI burden attributable to RSV.

Dynamic disparities in clean energy use across rural-urban, regional, and ethnic boundaries in China.

The consequences of relying on solid fuels are disproportionately borne by minorities, the marginalized, and rural communities. However, the social disparities in transitioning from polluting energy to clean energy are not well understood. We track changes in the main energy source used for cooking among Chinese households between 2010 and 2018. We find that the proportion of households who rely on clean energy increased from 53.7% in 2010 to 80.1% in 2018. We detect substantial disparities in clean energy use between rural and urban areas, across regions, and between ethnic minorities and the Han majority. Urban status, regional variations, and household characteristics entirely accounted for the observed ethnic differences in clean energy use. Over time, disparities across rural-urban, regional, and ethnic boundaries declined, and household characteristics became irrelevant to the ethnic differences. Therefore, China's efforts to mitigate the imbalance in socioeconomic development also reduced ethnic inequalities in clean energy use.

Dissipation, residue and dietary risk assessment of difenoconazole in Rosa roxburghii.

Rosa roxburghii is a medicinal and edible plant, which is favored by consumers due to its rich vitamin C content. Residues and potential health risks of difenoconazole in the R. roxburghii ecosystem has aroused a concern considering its extensive use for controlling the powdery mildew of R. roxburghii. In this study, the residue of difenoconazole in R. roxburghii and soil was extracted by acetonitrile, purified by primary secondary amine and detected by liquid chromatography-tandem triple quadrupole mass spectrometry. The average recoveries in R. roxburghii and soil matrix varied from 82.59% to 99.63%, with relative standard deviations (RSD) of 1.14%-8.23%. The limit of quantification (LOQ) and detection (LOD) of difenoconazole in R. roxburghii and soil samples were 0.01 mg/kg. The dissipation of difenoconazole followed well the first-order kinetic, with a half-life of 3.99-5.57 d in R. roxburghii and 4.94-6.23 d in soil, respectively. And the terminal residues were <0.01-2.181 mg/kg and 0.014-2.406 mg/kg, respectively. The chronic and acute risk quotient values of difenoconazole were respectively 0.42% and 4.1%, which suggests that the risk was acceptable and safe to consumers. This study provides a reference for the safe and reasonable use of difenoconazole in R. roxburghii production.

An enhanced decision-making framework for predicting future trends of sharing economy.

This work aims to provide a reliable and intelligent prediction model for future trends in sharing economy. Moreover, it presents valuable insights for decision-making and policy development by relevant governmental bodies. Furthermore, the study introduces a predictive system that incorporates an enhanced Harris Hawk Optimization (HHO) algorithm and a K-Nearest Neighbor (KNN) forecasting framework. The method utilizes an improved simulated annealing mechanism and a Gaussian bare bone structure to improve the original HHO, termed SGHHO. To achieve optimal prediction performance and identify essential features, a refined simulated annealing mechanism is employed to mitigate the susceptibility of the original HHO algorithm to local optima. The algorithm employs a mechanism that boosts its global search ability by generating fresh solution sets at a specific likelihood. This mechanism dynamically adjusts the equilibrium between the exploration and exploitation phases, incorporating the Gaussian bare bone strategy. The best classification model (SGHHO-KNN) is developed to mine the key features with the improvement of both strategies. To assess the exceptional efficacy of the SGHHO algorithm, this investigation conducted a series of comparative trials employing the function set of IEEE CEC 2014. The outcomes of these experiments unequivocally demonstrate that the SGHHO algorithm outperforms the original HHO algorithm on 96.7% of the functions, substantiating its remarkable superiority. The algorithm can achieve the optimal value of the function on 67% of the tested functions and significantly outperforms other competing algorithms. In addition, the key features selected by the SGHHO-KNN model in the prediction experiment, including " Form of sharing economy in your region " and " Attitudes to the sharing economy ", are important for predicting the future trends of the sharing economy in this study. The results of the prediction demonstrate that the proposed model achieves an accuracy rate of 99.70% and a specificity rate of 99.38%. Consequently, the SGHHO-KNN model holds great potential as a reliable tool for forecasting the forthcoming trajectory of the sharing economy.

Effects of digital transformation and environmental resource integration capability on medical equipment suppliers' green innovation performance.

In today's digital age, the effort of medical enterprises towards green innovation has gained traction in academic and business circles. However, the current research system for medical equipment suppliers lacks a systematic study on how digital transformation can enhance the outcomes of green innovation. This research aims to develop a theoretical framework for digital transformation, environmental resource integration capability, managerial environmental concern and green innovation performance with respect to the resource-based view and conducting empirical analysis using survey data from medical equipment supply enterprises. Our findings reveal that digital transformation has a significant effect on the promotion of green innovation performance through environmental resource integration capability. Moreover, the managerial environmental concern moderates above mediation effect. These findings not only provide compelling insights into the impact of digital transformation on green innovation performance but also have important implications for sustainable development and cleaner production relevant academic research and policy-making.

The effectiveness of a WeChat-based self-assessment with a tailored feedback report on improving complementary feeding and movement behaviour of children aged 6-20 months in rural China: a cluster randomized controlled trial.

Background: Appropriate infant feeding and movement behaviour (i.e. physical activity, sedentary behaviour, sleep) play an important role in children's healthy development during the first two years of life. The popular Chinese social media app 'WeChat' has become a potential data collection and health promotion tool. We aimed to evaluate the effectiveness of a WeChat-based self-assessment with a tailored feedback report on improving complementary feeding practices and movement behaviour of children aged 6-20 months in rural China. Methods: We conducted a two-armed cluster randomized control trial in Datong County, Qinghai Province, China. There were 106 clusters from 257 villages allocated (1:1) to two groups: the feeding group, which received a complementary feeding recommendations feedback report; the movement behaviour group, which received movement behaviour recommendations feedback report. The feeding group acted as a control for the movement behaviour group and vice versa. Children aged 6-20 months and their primary caregivers were invited to be participants. WeChat was used to collect the data on outcomes and to deliver the interventions. Participants received the interventions by filling out the WeChat self-assessment questionnaire and reading tailored feedback reports at baseline, at the first 1-month follow-up and at the second 2-month follow-up. Outcome measures included changes in the prevalence of minimum dietary diversity (MDD), minimum meal frequency (MMF), minimum acceptable diet (MAD); and the proportion of children who met physical activity time (PAT), outdoor time (OT) and screen time (ST) recommendation between the two groups at the two follow-ups. This study is registered at Chinese Clinical Trial Registry-ChiCTR2200062529. Findings: Between September 28th and October 12th 2022, we recruited 1610 children in 106 clusters, of which 53 clusters (800 children) were randomized to the feeding group and 53 clusters (810 children) to the movement behaviour group. All caregivers of children completed questionnaires at three time points without loss to follow-up. From baseline to the second follow-up, the prevalence of MDD (OR: 1.62 [95% CI, 1.16-2.28; p = 0.0058]), MMF (OR: 1.45 [95% CI, 1.03-2.04; p = 0.032]) and MAD (OR: 1.51 [95% CI, 1.12-2.05; p = 0.0081]) in the feeding group were significantly higher than that in the movement behaviour group. The proportion of children who met PAT during the last 24 h at the second follow-up (OR: 2.22 [95% CI, 1.26-2.17; p < 0.0001]) and OT at the second follow-up (OR: 1.94 [95% CI, 1.49-2.54; p < 0.0001]) significantly improved in the movement behaviour group compared to the feeding group. Furthermore, ST in the movement behaviour group showed a significant increase only at the first follow-up (OR: 1.36 [95% CI, 1.02-1.82; p = 0.036]). Interpretation: WeChat-based self-assessment with tailored feedback was an effective channel to deliver feeding and movement behaviour recommendations in rural China in our study. This approach can be applied to change feeding practices of caregivers of young children alongside routine child health care in rural China. Funding: Capital Institute of Pediatrics.

Cost-Effectiveness Analysis of Relmacabtagene Autoleucel for Relapsed or Refractory Large B-Cell Lymphoma in China.

OBJECTIVES: Relmacabtagene autoleucel (relma-cel) was recently approved in China for treating relapsed or refractory large B-cell lymphoma (r/r LBCL). We conducted a cost-effectiveness analysis from the perspective of Chinese healthcare system. METHODS: A mixture-cure model was developed to project life-years (LYs), quality-adjusted LYs (QALYs), and overall direct cost with a lifetime horizon for patients with r/r LBCL treated with relma-cel versus salvage chemotherapy. Patient-level data from RELIANCE trial and published data from Collaborative Trial in Relapsed Aggressive Lymphoma extension study were used to inform the model. The incremental cost-effectiveness ratio (ICER) was estimated and cost-effectiveness was evaluated at the willingness-to-pay threshold of 3 times the national gross domestic product per capita. RESULTS: The model projected that treatment with relma-cel was associated with incremental gains of 5.11 LYs and 5.26 QALYs compared with salvage chemotherapy at an increased cost of ¥1 067 430 (∼$154 152), resulting in an ICER of ¥203 137 (∼$29 435) per QALY. The model was most sensitive to the uncertainty around the estimated cure rate. The ICER of relma-cel was within the willingness-to-pay threshold in the base case and the probability of relma-cel treatment being considered cost-effective was approximately 74%. CONCLUSIONS: Compared with salvage chemotherapy, treatment with relma-cel for r/r LBCL in patients who have failed at least 2 lines of systemic therapy is within the cost-effective range from the perspective of Chinese healthcare system and represents a good use of healthcare resources.

High response rate and low cost of WeChat-based data collection of infant and young child feeding data in rural Qinghai Province, China.

Background: Measuring the infant and young child feeding (IYCF) indicators is key to effectively tracking the progress of child health programs and making evidence-based decisions. WeChat is the most popular mobile social media platform in China and has become a promising tool for collecting health data. This study aims to explore the response rate and costs of a WeChat-based questionnaire on IYCF information in rural China. Methods: We conducted two cross-sectional surveys with caregivers of children aged 6-23 months in two rural counties in Qinghai Province (Menyuan and Datong County), China, from January to March 2022. Both surveys used the same WeChat IYCF questionnaire to collect household information, infant feeding practices, and caregivers' feeding knowledge. Village doctors sent a quick response (QR) code to caregivers that was linked to the WeChat IYCF questionnaire. Participating caregivers scanned the QR code using their own WeChat account on their smartphone and filled in the questionnaire online. If they could not use WeChat themselves, village doctors administered the questionnaire. Once caregivers finished the questionnaires, they received a personalized report with infant feeding recommendations. Results: We recruited 1274 caregivers of children aged 6-23 months in Menyuan County and 1748 caregivers in Datong County. The total response rate in the two counties was 98.2%; 77.6% of questionnaires were self-administered by caregivers and 20.6% were interviewer-administered by village doctors. The questionnaires were filled in twice by 209 (6.9%) caregivers. The cost of these two WeChat IYCF surveys was much lower than the cost of a previously conducted face-to-face survey: 11.8 yuan (US$1.85) in Menyuan County and 7.5 yuan (US$1.18) in Datong County for the WeChat survey vs 112.7 yuan (US$17.70) for the face-to-face survey in Huzhu County. Conclusions: This study showed that using WeChat for IYCF surveys can achieve a very high response rate at a low cost in rural China. Village doctors played a very important role in achieving this high response rate. Providing feedback to caregivers may improve their feeding practices and this intervention could be incorporated into the data collection process.

Let food be thy medicine: the role of diet in colorectal cancer: a narrative review.

Background and Objective: Colorectal cancer (CRC) is the third most common cancer worldwide, and the incidence and mortality rates continue to increase annually. Many factors, including genetic, immune, and environmental factors, influence the occurrence and development of CRC. Along with the economic development, changes in lifestyle, especially dietary factors, have been shown to greatly affect the progression of CRC. Increasing evidence showed that dietary patterns influence the risk of CRC and affect CRC treatment. The present review describes the role of diet in the prevention and treatment of CRC with the hope that doctors attach importance to dietary patterns in educating patients with CRC or at risk of CRC and that diet may be regarded as an auxiliary treatment strategy to improve patients' outcomes. Methods: English language articles published from 2000 to December 2021 in PubMed and Embase were identified by searching titles for keywords including "diet", "colorectal cancer", "dietary pattern", and "dietary factor"; 101 articles were selected for review. Key Content and Findings: The present review describes the role of different dietary patterns and factors in the prevention and treatment of CRC. We found that dietary intervention is closely related to the occurrence, development, and prognosis of CRC. Adherence to the Mediterranean diet (MD), the Dietary Approaches to Stop Hypertension (DASH) diet, fasting, vegetarian diets and the ketogenic diet (KD) were found to reduce the risk of CRC, prolong patient survival, and delay disease progression. Moderate intake of dietary fiber (DF), omega-3 fatty acids, micronutrients (e.g., calcium, iron, and selenium), and vitamins have been shown to be beneficial in the prevention and treatment of CRC. Conversely, diets high in fat or sugar and those rich in red meat or processed meat promote CRC. Conclusions: People at high risk of CRC and those with CRC are recommended to eat a plant-based diet rich in fruits, vegetables, and whole grains with appropriate DF intake and to avoid high levels of processed meat, red meat, and highly refined grains.

The influence of organizational learning and external cooperation configuration on enterprise technological innovation: A study based on fsQCA approach.

This study explores the influence of organizational learning and external cooperation configuration on enterprise technological innovation and constructs a comprehensive theoretical framework of "organizational learning-external cooperation-technological innovation" based on the fuzzy set qualitative comparative analysis (fsQCA) method. The results show the following. (1) A single episode of organizational learning or external cooperation cannot affect the enterprise's technological innovation, which requires the mutual linkage of the two to improve enterprise technological innovation performance. (2) The technological innovation model in which organizational learning and external cooperation interact is an effective way for enterprises to improve technological innovation performance. There are four technological innovation models that produce high technological innovation performance, namely consciousness-system synergy, consciousness-led, quasi-full, and all-around drive. (3) There are four models of non-high-tech innovation performance, which are not opposed to the technological innovation model of high-tech innovation performance. This research expands the technological innovation perspective of organizational learning and external cooperation matching, provides enterprises with effective technological innovation activities, and provides a theoretical reference and practical guidance for improving technological innovation performance.

Fin-TS and Fix-TS on fractional quaternion delayed neural networks with uncertainty via establishing a new Caputo derivative inequality approach.

This paper investigates the finite time synchronization (Fin-TS) and fixed time synchronization (Fix-TS) issues on Caputo quaternion delayed neural networks (QDNNs) with uncertainty. A new Caputo fractional differential inequality is constructed, then Fix-TS settling time of the positive definite function is estimated, which is very convenient to derive Fix-TS condition to Caputo QDNNs. By designing the appropriate self feedback and adaptive controllers, the algebraic discriminant conditions to achieve Fin-TS and Fix-TS on Caputo QDNNs are proposed based on quaternion direct method, Lyapunov stability theory, extended Cauchy Schwartz inequality, Jensen inequality. Finally, the correctness and validity of the presented results under the different orders are verified by two numerical examples.

New Quality Cost Framework (QCF) Based on the Hybrid Fuzzy MCDM Approach.

Quality cost framework (QCF), as a measurement tool and research method, has played a significant role on quality improvement procedure (QIP) and recognition on economics of quality. The four general QCFs are usually conceptually employed assist quality managers to measure the quality cost (QC/COQ) including PAF, intangible loss, process cost, and ABC framework. The question of how to select an appropriate quality cost framework for individual organization is of great significance for implementing quality improvement activities. Considering the effectiveness and feasibility of the alternative solution, a novel hybrid fuzzy MCDM approach integrating fuzzy DMEATEL, an antientropy weighting technique and FVIKOR method are employed to study the quality cost models and assist managers to select a best QCF for an auto factory. The combined weight from subjectivity and objectivity is embedded into fuzzy VIKOR procedure to obtain alternatives' ranking order. The case study in a Chinese automaker enterprise shows high robustness of the hybrid MCDM approach, and it assists quality mangers to perform quality cost practice. Different from the previous study, the preferred solution is the ABC quality cost framework when feasibility dimension dominates, while the intangible loss framework shows first priority when the organization focuses on effectiveness principle.

Inverse Problem in Resonant Ultrasound Spectroscopy With Sampling and Optimization: A Comparative Study on Human Cortical Bone.

The Bayesian inference with prior knowledge has been proposed recently to solve the inverse problem in resonant ultrasound spectroscopy. It allows inferring the elastic properties of high damping materials, such as cortical bone with less dependence on the initial guessed values. In this method, the estimation of the stiffness coefficients is expressed as a probabilistic solution to the inverse problem, which can be achieved by sampling or optimization methods. However, the detailed performance comparison of these two strategies applied to high damping materials has not been fully studied. In this work, the full stiffness tensor of 52 transversely isotropic cortical bone specimens was obtained using Markov chain Monte Carlo (MCMC) sampling and particle swarm optimization (PSO), respectively. Results showed that the local probability distributions of stiffness coefficients estimated by the two methods are consistent. Compared with MCMC, the average calculation speed of PSO is ten times faster [614 s ± 59 s (MCMC) versus 53 s ± 22 s (PSO)]. The mean standard error between theoretical and experimental resonant frequencies was slightly smaller for PSO compared with MCMC. In conclusion, PSO, a global optimization strategy, is suitable to solve the inverse problem for high damping materials.

Erratum: Assessment of radiotherapy effect for nasopharyngeal cancer using plasma surface-enhanced Raman spectroscopy technology: errata.

[This corrects the article on p. 3413 in vol. 9, PMID: 29984106.].