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With the development of mobile terminals, tunable capacitors for signal processing and memristors for calculation have received a lot of attention. Combining a tunable capacitor and a memristor can improve the performance of mobile terminals and reduce space requirements. In this article, we report on Bi2NiMnO6 (BNMO) films with high dielectric tuning and nonvolatile resistive switching (RS) effects. The BNMO films are fabricated by the sol–gel method and annealed at different temperatures. It exhibits a dielectric tunability of up to 92%. This high dielectric tunability may be attributed to the modulation of the interface dipole by the electric field. When an electric field is applied, the interface dipole of the BNMO film is far away from the interface of the BNMO, and then forms a conductive channel where anions and cations are mixed. The BNMO films are found to have a double-set type effect due to its dielectric tunability properties. This work introduces an ultra-high dielectric tuning material and a new type of RS effect on BNMO thin film, which can achieve tuning and memory behavior on a device.

Dissolving microneedle patch (DMNP) is a minimally invasive and painless self-administration device. However, due to skin deformation, it is difficult to apply it on the large areas of skin or curved skin as the patch size increased for DMNP. Here, we propose a polyvinyl alcohol (PVA)-based dissolving microneedle roller (DMNR) device that can be used for delivering drugs rapidly on the large surface areas or curved skin and does not need to be attached on the skin all the time during drug delivery. The hypoglycemic effect of insulin-loaded DMNRs for transdermal delivery of insulin was studied on the type 1 diabetic rat models. It was found that the insulin-loaded DMNR has an immediate and effective hypoglycemic effect that the blood glucose level reduced below to 50% of original blood glucose at 1 h after DMNRs administrated.

BACKGROUND & AIMS: Hepatitis B virus (HBV) infection is a global health threat responsible for 880,000 deaths per year. Current antiviral therapies control but rarely eliminate the virus, and leave chronic HBV carriers at risk to develop hepatocellular carcinoma (HCC). Lacking or dysfunctional virus-specific adaptive immunity prevents control of HBV and allows the virus to persist. Restoring anti-viral T-cell immunity to achieve HBV elimination in chronically infected patients will help to cure HBV. METHODS: We constructed bispecific T-cell engager antibodies that are designed to induce anti-viral immunity through simultaneous binding of HBV envelope proteins (HBVenv) on infected hepatocytes and cluster of differentiation 3 or 28 on T cells. T-cell engager antibodies were employed in co-cultures with healthy donor lymphocytes and HBV-infected target cells. Activation of T-cell response was determined by detection of pro-inflammatory cytokines, effector function by cytotoxicity and antiviral effects. To study in vivo efficacy, immune-deficient mice were transplanted with HBV envelope-positive and -negative hepatoma cells. RESULTS: The two T-cell engager antibodies synergistically activated T cells to become polyfunctional effectors that in turn elicited potent anti-viral effects by killing infected cells and in addition controlled HBV via non-cytolytic, cytokine-mediated antiviral mechanisms. In vivo in mice, the antibodies attracted T cells specifically to the tumors expressing HBVenv resulting in T-cell activation, tumor infiltration and reduction of tumor burden. CONCLUSION: This study demonstrates that the administration of HBVenv-targeting T-cell engager antibodies facilitates a robust T-cell redirection towards HBV-positive target cells and provides a feasible and promising approach for the treatment of chronic viral hepatitis and HBV-associated HCC. LAY SUMMARY: T-cell engager antibodies are an interesting, novel therapeutic tool to restore immunity in patients with chronic hepatitis B. As bispecific antibodies they on the hand bind HBV envelope proteins displayed on the surface of HBV-infected cells or HBV-positive hepatoma and on the other hand attract and stimulate T cells by binding CD3 or CD28 on the T cell. Hereby, they activate a potent antiviral and cytotoxic response resulting in the elimination of HBV-positive cells. Their potential to activate T cells to resolve HBV infection renders T-cell engagers interesting candidates for the therapy of chronic hepatitis B and HBV-associated hepatocellular carcinoma.

PurposeThe main purpose of this study is to empirically investigate the impact of intellectual capital efficiency on US multinational software companies' performance from 2012 to 2016 by applying data envelopment analysis (DEA).Design/methodology/approachIt adopts a new slacks-based measure (SBM) to obtain a more accurate performance estimation and rank between companies. Regression analysis is used to test the overall IC and each of its elements (Human Capital, Innovation Capital, Process Capital and Customer Capital).FindingsThe univariate result shows that multinational companies are more efficient than non-multinational companies. However, the regression result shows that multinationality can hardly explain the firm efficiency of software firms. Another interesting finding is that intellectual capital has a positive and significant impact on software firm performance in the US human capital influences firm efficiency directly. However, when human capital is combined with the other elements of IC, the contribution of human capital becomes less significant. This is because people may think that innovation capital, process capital and customer capital can replace human capital, but it is not. In short, human capital may affect firm efficiency through other elements of IC (innovation capital, process capital and customer capital) as it is the base of other elements.Research limitations/implicationsThe results show that multinational companies have higher efficiency scores than non-multinational companies. In addition, Intellectual capital has a positive and significant impact on software firm performance in the US human capital influences firm efficiency directly. However, when human capital is combined with the other elements of IC, the contribution of human capital becomes less significant. This is because people may think that innovation capital, process capital and customer capital can replace human capital, but it is not. In short, human capital may affect firm efficiency through other elements of IC (innovation capital, process capital and customer capital) as it is the base of other elements.Practical implicationsOverall, the study highlights the needs of having intellectual capital and its elements (Human Capital, Innovation Capital, Process Capital and Customer Capital) to increase firm efficiency.Originality/valueFirst, the authors use a more comprehensive elements of IC, which are human capital, innovation capital, process capital and customer capital for a better IC measurement. Second, this study makes the first attempt using the DSBM model via DEA to examine the operating efficiency of US multinational software firms.

Acute myeloid leukemia (AML) with t(8;21) is a heterogeneous disease and needs to be stratified. Both, cancer cells and immune cells participate in tumor initiation, growth and progression and might affect clinical outcomes. TIM-3 (T cell immunoglobulin and mucin domain-containing protein 3), an immune checkpoint molecule, is expressed not only on immune cells but also on leukemic stem cells (LSCs) in AML. This prompted us to investigate the prognostic significance of TIM-3 in t(8;21) AML. A total of 47 t(8;21) AML patients were tested for TIM-3 expression by multi-parameter flow cytometry at diagnosis. 35 of these, who received chemotherapy alone or along with allogeneic hematopoietic stem cell transplantation were followed up. The expression pattern of TIM-3 on T-cells and NK (natural killer) cells as a whole (T + NK) and LSCs were evaluated independently. High percentage of T + NK - TIM-3

This study investigates a kind of masonry consisting of clay-fired brick (fc = 10 MPa; ρ = 1 . 38 g / cm 3 ) and mortar (fc = 10 MPa; ρ = 1 . 8 g / cm 3 ). Clay-fired brick masonry connotes a traditional construction material of old architecture and public buildings. We carried out penetration experiments in which four clay-fired brick walls employing two different patterns were subjected to impact from small high-speed projectile, i.e. 12.7 mm armor-piercing explosive incendiary projectile and material tests in which the static and dynamic compressive strengths of clay-fired brick and mortar were determined by quasi-static and SHPB (Split Hopkinson Pressure Bar) tests. The experimental data include hit and exit velocities, damage configuration of clay brick masonry and mechanical properties of material at low and high strain rates, though which influence of thickness and bonding patterns of wall on kinetic loss of bullet, the damage patterns of masonry observed experimentally and dynamic increase of material strengths are analyzed. To keep minimum boundary inconsistency with reality, full 3D detailed finite element model consisting of two different material is established. Sharing common nodes and employing automatic tiebreak contact are combined to reduce computational time usage of large-scale model. For description of clay-fired brick and mortar Riedel–Hiermaier–Thoma (RHT) material model is employed. Material parameter set is derived based on experimental data, available literature and engineering assumptions. The numerical simulations study the mesh resolution dependency of material model, reproduce the crucial phenomena of masonry in experiment acceptably and offer more time-resolved insight into motion of bullet in the process of penetration. The feasibility of means of constructing finite element model and applying RHT model to the masonry herein and analogous constructions is explored through numerical investigation.

After more than 60 years of development, artificial intelligence (AI) has been widely used in various fields. Especially in recent years, with the development of deep learning, AI has made many remarkable achievements in the medical field. Dermatology, as a clinical discipline with morphology as its main feature, is particularly suitable for the development of AI. The rapid development of skin imaging technology has helped dermatologists to assist in the diagnosis of diseases and has greatly improved the accuracy of diagnosis. Skin imaging data have natural big data attributes, which is important for AI research. The establishment of the Chinese Skin Image Database (CSID) has solved many problems such as isolated data islands and inconsistent data quality. Based on the CSID, many pioneering achievements have been made in the research and development of AI-assisted decision-making software, the establishment of expert organizations, personnel training, scientific research, and so on. At present, there are still many problems with AI in the field of dermatology, such as clinical validation, medical device licensing, interdisciplinary, and standard formulation, which urgently need to be solved by joint efforts of all parties.

Objectives The study aims to analyze the clinical characteristics of head and neck mucosal melanoma (MMHN) and the effects of multiple treatment modalities on distant metastasis, recurrence and survival rates to provide a reference for the individualized treatment of MMHN. Methods We retrospectively reviewed 262 patients with stage III–IVb MMHN treated from March 1986 to November 2018 at our cancer center. Results The median follow-up time was 34.0 months (range 1–262 months). The 5-year overall survival (OS), distant metastasis-free survival (DMFS) and disease-free survival (DFS) probabilities were 37.7%, 30.2%, and 20.3%, respectively. The 5-year OS rates for patients with stage III, stage IVA, and stage IVB MMHN were 67.0%, 24.1% and 8.3%, respectively (P P P P Conclusions The main reason for treatment failure in MMHN is distant metastasis. Immunologic/targeted therapy and surgery are recommended to improve the survival of MMHN. The American Joint Committee on Cancer (AJCC) 8th edition staging system for MMHN does stage this disease effectively.

Background:. The prevalence of skin diseases and diabetes mellitus (DM) are prominent around the world. The current scope of knowledge regarding the prevalence of skin diseases and comorbidities with type 2 DM (T2DM) is limited, leading to limited recognition of the correlations between skin diseases and T2DM. Methods:. We collected 383 subjects from the Da Qing Diabetes Study during the period from July 9th to September 1st, 2016. The subjects were categorized into three groups: Normal glucose tolerance (NGT), impaired glucose tolerance (IGT), and T2DM. The prevalence and clinical characteristics of skin diseases were recorded and investigated. Results:. In this cross-sectional study, 383 individuals with ages ranging from 53 to 89-year-old were recruited. The overall prevalence of skin diseases was 93.5%, and 75.7% of individuals had two or more kinds of skin diseases. Additionally, there were 47 kinds of comorbid skin diseases in patients with T2DM, of which eight kinds of skin diseases had a prevalence >10%. The prevalence of skin diseases in NGT, IGT, and T2DM groups were 93.3%, 91.5%, and 96.6%, respectively; stratified analysis by categories showed a statistically significant difference in “disturbances of pigmentation” and “neurological and psychogenic dermatoses”. The duration of T2DM also significantly associated with the prevalence of “disturbances of pigmentation” and “neurological and psychogenic dermatoses”. Subsequently, the prevalence of “disturbances of pigmentation” was higher in males than females in NGT (P

Amyloid-β (Aβ) peptides and hyperphosphorylated tau protein are the most important pathological markers of Alzheimer’s disease (AD). Neuroinflammation and oxidative stress are also involved in the development and pathological mechanism of AD. Hypoxia inducible factor-1α (HIF-1α) is a transcriptional factor responsible for cellular and tissue adaption to low oxygen tension. Emerging evidence has revealed HIF-1α as a potential medicinal target for neurodegenerative diseases. On the one hand, HIF-1α increases AβPP processing and Aβ generation by promoting β/γ-secretases and suppressing α-secretases, inactivates microglia and reduces their activity, contributes to microglia death and neuroinflammation, which promotes AD pathogenesis. On the other hand, HIF-1α could resist the toxic effect of Aβ, inhibits tau hyperphosphorylation and promotes microglial activation. In summary, this review focuses on the potential complex roles and the future perspectives of HIF-1α in AD, in order to provide references for seeking new drug targets and treatment methods for AD.

PurposeThe purpose of this study is twofold. First, this research estimates banks' efficiencies from the perspectives of resource utilization and investment after incorporating risk measures as an exogenous input in the investment-efficiency stage. Second, the current study examines the relationship between intellectual capital (IC) and banks' efficiencies.Design/methodology/approachFirst, this study uses a dynamic network data envelopment analysis approach in investigating the efficiencies of 24 Taiwanese banks in 2007–2018 from two perspectives. Second, this research utilizes various regression techniques, namely, ordinary least squares (OLS), robust least squares and truncated regression, to gauge the impact of IC on banks' efficiencies. Typically, IC is determined based on a monetary value-based measure and value-added intellectual coefficient (VAICTM).FindingsResource-utilization (investment) efficiencies were observed as 0.941 (0.964), thereby contributing to the mean overall efficiency of the sample banks at 0.952. However, the related efficiency changes decline over the sample period, thereby suggesting that the average banks' efficiencies hardly increase. Regression analyses show a significantly positive relationship between IC and banks' overall resource-utilization and investment efficiencies.Research limitations/implicationsOverall, this study suggests that researchers should consider risks when estimating banks' efficiencies owing to their connection to banks' investment performance. From banks' dynamic two-stage efficiencies, this study demonstrated that investments in IC will bring improved future economic benefits.Originality/valueDifferent from prior studies, this study improves banks' efficiency evaluation models by incorporating risk measures and assuming weighted periods for the 2007–2008 global financial crisis. Moreover, the use of monetary value-based measure of IC provides consistent results as the commonly-used VAICTM does.

Following the emergence of the Internet, the Internet of things (IOT) brought about another wave of technological and economic revolutions. Through the lens of the production process, this study utilises the dynamic network slack-based measure model in data envelopment analysis to evaluate 32 IOT companies in Taiwan in terms of their innovation efficiency, operational efficiency and overall efficiency for the period of 2007–2017. Empirical results reveal that the average operational and overall efficiencies of IOT companies in Taiwan have been decreasing considerably since 2008. However, their average innovation efficiency remains stable over the sample period owing to government reductions in enterprise research and development (R&D) tax credit incentives. Through the impulse response function method, this study further confirms that the Statute for Industrial Innovation, which was implemented in 2010 and revised and reimplemented in 2016, specifically, policies concerning enterprise R&D tax credits, affect the efficiencies of IOT companies in Taiwan. Overall, this study reveals the performance evaluation process of IOT companies by showing that their innovation capability affects their operational efficiency. Thus, the government is advised to incorporate innovation measures into relevant industrial policies to achieve policy effectiveness.

ObjectiveSystemic lupus erythematosus (SLE), an autoimmune disorder, has been associated with nearly 100 susceptibility loci. Nevertheless, these loci only partially explain SLE heritability and their putative causal variants are rarely prioritised, which make challenging to elucidate disease biology. To detect new SLE loci and causal variants, we performed the largest genome-wide meta-analysis for SLE in East Asian populations.MethodsWe newly genotyped 10 029 SLE cases and 180 167 controls and subsequently meta-analysed them jointly with 3348 SLE cases and 14 826 controls from published studies in East Asians. We further applied a Bayesian statistical approach to localise the putative causal variants for SLE associations.ResultsWe identified 113 genetic regions including 46 novel loci at genome-wide significance (p−8). Conditional analysis detected 233 association signals within these loci, which suggest widespread allelic heterogeneity. We detected genome-wide associations at six new missense variants. Bayesian statistical fine-mapping analysis prioritised the putative causal variants to a small set of variants (95% credible set size ≤10) for 28 association signals. We identified 110 putative causal variants with posterior probabilities ≥0.1 for 57 SLE loci, among which we prioritised 10 most likely putative causal variants (posterior probability ≥0.8). Linkage disequilibrium score regression detected genetic correlations for SLE with albumin/globulin ratio (rg=−0.242) and non-albumin protein (rg=0.238).ConclusionThis study reiterates the power of large-scale genome-wide meta-analysis for novel genetic discovery. These findings shed light on genetic and biological understandings of SLE.

To observe the clinical effect of acupoint sticking therapy with Mian Tan Gao (facial paralysis paste) plus electroacupuncture (EA) for treating peripheral facial paralysis and its influence on patients’ facial nerve functions, facial disability index and clinical symptoms and signs. A total of 96 peripheral facial paralysis patients were allocated into an observation group, a medicine group and an EA group by simple randomization, with 32 cases in each group. Patients in the medicine group were treated with oral mecobalamine and prednisone acetate; patients in the EA group were treated with EA on the basis of the medicine treatment; while patients in the observation group were treated with acupoint sticking therapy with Mian Tan Gao (facial paralysis paste) plus EA. After 4-week treatment, the clinical efficacy, the adverse events, and the scores of House-Brackmann (H-B) facial nerve function grading scale, visual analog scale (VAS), clinical symptoms and signs, and facial disability index (FDI) were compared. After 4-week treatment, the total effective rate was 96.9% in the observation group, higher than 68.7% in the medicine group and 75.0% in the EA group (both P 0.05). The between-group comparison of the adverse event across the three groups showed no statistical significance (P>0.05). Acupoint sticking therapy with Mian Tan Gao (facial paralysis paste) plus EA can decrease H-B grade, reduce pain severity and improve clinical symptoms and signs as well as the facial disability condition in peripheral facial paralysis patients. This method produced more significant efficacy compared with oral medicine and medicine plus EA.

Acute myeloid leukemia with intermediate cytogenetic risk (ICR-AML) needs to be stratified and abnormal gene expression might be prognostic. PR/SET domain 16 (PRDM16) transcript levels were assesse...

In the port industry, productivity is one of the vital factors for ports to develop competitiveness and market potential. The paper integrates context-dependent data envelopment analysis and forecasting models to conduct an efficient measurement of 53 Vietnamese ports and predict future performance in the port industry. By using the technique to get the measure of performance, this study builds the ports’ benchmark-learning stepping tools for the inefficient ports to enhance increasingly. The attractiveness and progress scores are resulted to assist the ports in situating themselves. Moreover, forecasting port performance results help decision-makers having more detailed information to make better decisions in their strategies and investments.

PurposeThis study aims to evaluate cargo and eco-efficiency of global container shipping companies (CSCs) and explore the determinants of the CSCs' efficiencies. While the former is derived from the CSCs' operational perspective, the latter highlights environmental issue related to carbon emission reduction.Design/methodology/approachIn the first stage, a two-stage double bootstrap approach of data envelopment analysis (DEA) is applied to derive bias-corrected cargo and eco-efficiency of the top ten global CSCs under the variable returns to scale assumption. In the second stage, ordinary least squares and truncated regression are applied to examine determinants of the CSCs' efficiencies.FindingsThe DEA results reveal that the cargo efficiency of the CSCs is higher than their eco-efficiency by about 2.6% under variable returns to scale in DEA. However, the bias-corrected results show that the difference is 2.9%. The overall average efficiencies suggest that the CSCs can improve their cargo (eco) efficiency by 6.9% (10.8%). In the second stage, the regression results show that the numbers of ship, return on assets and asset turnover ratio are significantly related to both cargo and eco-efficiencies, whereas the total fleet capacity positively affects cargo efficiency.Research limitations/implicationsThe results of this study can help the inefficient CSCs make strategic decisions to improve their performance. For example, their business experience and capacity may be contributing to their efficiencies. However, this study only focuses on the container market among the three main markets, namely, dry bulk, wet bulk and container.Originality/valueThis study highlights an environmental issue in the shipping industry. While CSCs are operating their cargo efficiently in general, they should also put green initiatives into their business operations for the long-term sustainability.

BACKGROUND: Youzhi artificial intelligence (AI) software is the AI-assisted decision-making system for diagnosing skin tumors. The high diagnostic accuracy of Youzhi AI software was previously validated in specific datasets. The objective of this study was to compare the performance of diagnostic capacity between Youzhi AI software and dermatologists in real-world clinical settings. METHODS: A total of 106 patients who underwent skin tumor resection in the Dermatology Department of China-Japan Friendship Hospital from July 2017 to June 2019 and were confirmed as skin tumors by pathological biopsy were selected. Dermoscopy and clinical images of 106 patients were diagnosed by Youzhi AI software and dermatologists at different dermoscopy diagnostic levels. The primary outcome was to compare the diagnostic accuracy of the Youzhi AI software with that of dermatologists and that measured in the laboratory using specific data sets. The secondary results included the sensitivity, specificity, positive predictive value, negative predictive value, F-measure, and Matthews correlation coefficient of Youzhi AI software in the real-world. RESULTS: The diagnostic accuracy of Youzhi AI software in real-world clinical settings was lower than that of the laboratory data (P 

Objective This study was performed to explore in-depth, the issues and barriers pertaining to colorectal cancer (CRC) screening amongst the siblings of CRC patients in view of their higher risk of developing CRC. Methods A qualitative study of siblings of CRC patients was performed from August 2017 to October 2018. Semi-structured interviewed were performed until data saturation was achieved. The data was then thematically analysed. Results A total of 36 siblings of CRC patients, with a median age of 59 (range 39-78) years old completed the interviews. All the interviews were conducted alone with the participants. Each interview lasted between 30 and 45 minutes. None of the participants has undergone screening colonoscopy prior to the interviews. After thematic analysis, five themes were identified. These include: (i) Misunderstanding their own risk of developing colorectal cancer; (ii) Misperceptions of the role of "screening" for colorectal cancer.; (iii) Misconception of the CRC screening modality for FDRs; (iv) Barriers and facilitators of undergoing screening; (v) Misperceptions of national healthcare policies. Conclusions Identifying and addressing the identified barriers for these siblings to undergo screening colonoscopy is easily attainable. A multi-pronged approach should also be adopted to address the various concerns so as to reduce the incidence of CRC amongst these higher risk individuals.

This paper examines the effects of asset‐light strategy on the corporate performance of listed Asian telecommunications corporations and the moderating effect of managerial ability on the association between asset‐light strategy and corporate performance. The study applies the dynamic slacks‐based measure (DSBM) model and Tobit regression to measure managerial ability. The empirical results show that asset‐light strategy positively affects corporate performance and that managerial ability has a significant moderating effect on the relationship between the degree of asset‐lightness (DAL) and corporate performance. The findings further show that the greater the managerial ability, the stronger the relationship between DAL and corporate performance.

Few studies in China focused on serotypes of Streptococcus pneumoniae in patients with invasive pneumococcal disease (IPD). We aimed at investigating the serotype distribution for IPD-causing S. pneumoniae and vaccine coverage among Chinese children and adults. This was a multicenter, observational study to collect S. pneumoniae isolates from normal sterile sites and IPD-related clinical information among children and adults. Serotyping was performed by a Capsule-Quellung reaction test using type-specific antisera. The study collected a total of 300 eligible isolates (pediatric = 148, adult = 152) were serotyped in a central laboratory. The most prevalent serotypes were 19A (20.9%) and 23 F (20.3%) in the pediatric group; 3 (21.7%) and 19 F (11.8%) in the adult group. PCV10 had low-to-moderate serotype coverage rates for children (60.8%) and adults (34.2%). PCV13 and PPV23 had high coverage rates for children (89.9%, 93.2%) and adults (70.4%, 82.9%), respectively, Investigational PCVs including PCV15 and PCV20 had high estimated coverage rates in children (89.9%, 93.9%). The study identified 269 subjects with IPD reported as the primary diagnosis in the medical records. Sepsis (48/136, 35.3%) and pneumonia (48/133, 36.1%) had the highest occurrence in the pediatric and adult groups, respectively. Study findings showed that non-PCV7 S. pneumoniae 19A and 3 were the most prevalent serotypes in Chinese children and adults, respectively. High-valent vaccines had similar coverage rates and may have a greater potential in preventing IPD.

This paper establishes an industrial upgrading model by dividing the industrial upgrading process into two: the foundation–construction and industrial upgrading stages. Eighty‐one sample countries, from 2006 to 2012, were divided into two groups according to their degree of market freedom. The meta‐frontier method was employed to explore technology gaps in the groups caused by the different markets. It was found that emerging economies with a free market have a better upgrading performance than those with a restricted market, and the efficiency gap between the two groups was seen to be continually increasing.

This study examined the innovation ability and business performance of global companies in the aerospace and defense (A&D) industry by using dynamic data envelopment analysis and ranking methods with the DuPont model. Results indicated that compared with business performance, A&D companies exhibit lower scores and higher standard deviations in the innovation ability, which signified that they should first work on reducing the gap in the level of innovation ability. DuPont analysis indicated that typical A&D companies exhibit the highest ROE. Finally, this study offers managers and policymakers detailed insights into potential areas of improvements in innovations, business performance, and profitability.

A critical issue for ensuring long-term sustainability of pension funds is how the Public Service Pension Fund Management Board (PSPFMB) makes entrusting decisions to choose investment trust corpor...

This study employs a two‐stage network data envelopment analysis model to analyze the decision quality and capital magnet efficiencies of 155 mutual funds in Taiwan during the period 2007–2016. The empirical results show that fund managers improved their decision quality; however, their capital magnet efficiency declined. This study also found 10 mutual funds performing in decision quality and capital magnet efficiencies, from which practical suggestions are provided to investors. Finally, this study constructs a market competition matrix to help fund managers (and investors) improve their operating and portfolio performance, plus resource allocation.

This paper investigates how patents and research and development (R&D) spikes affect the corporate performance of 863 firm‐year observations of U.S. biopharmaceutical companies. First, a dynamic data envelopment analysis model is adopted to evaluate the performance of the U.S. biopharmaceutical companies. Then, ordinary least squares regression is used to explore the effects of three patent‐related variables (patent counts, citations, and claims) and R&D spikes on corporate performance. This study finds positive impacts of patent counts, citations, and claims on corporate performance. In addition, the results show that R&D spikes have negative contemporaneous effects and time‐lagged effects on corporate performance.

This study explores the economic performance that vicarious warfare can bring for the aerospace and defence industry. First, this study measures the performance of 22 companies using a nonradial dynamic data envelopment analysis model from 2011 to 2017. Second, this study evaluates whether vicarious warfare can influence the performance. The efficiency analysis suggests rooms for improvements meanwhile, the projection analysis suggests that market value should be significantly increased, and the number of employees should be reduced significantly. The regression analysis suggests that the number of times a country takes a side in wars would positively affect the efficiency of companies.

This paper applies dynamic network slacks‐based data envelopment analysis to measure financial performance based on the interrelationship among investment, financing, and dividend decisions. The empirical results show that financial performance is determined simultaneously by the efficiency of decisions, and sample firms have good performance in investment stage, but need to improve their financing and dividend policies. The proposal financial performance measure explains the multicriteria of decision‐making rather than the single financial ratios. Besides, the research contributes a novel on the significant relationship between firm's ownership structure in the form of managers, government and foreign shareholders, and the firm's financial performance.

Assessing university resource allocation or misallocation is necessary to understand its impact on research and teaching productivity. To achieve this insight, this study conducts a two-stage data envelopment analysis to judge the “teaching and research efficiency” and “revenue efficiency” of 61 universities in Vietnam. We analyze what variables have the most effect on the efficiencies of the universities through improving results. Moreover, this research applies scale elasticity to distinguish the benchmark performance leader among Vietnam universities. Results indicate that universities are more efficient in terms of “revenue efficiency” than “teaching and research efficiency.” The scale elasticity decomposition findings show that multidisciplinary universities perform better than those specializing in science and technology and social science and economics. Finally, the competitive map to performance advancement strategies is exhibited. This map helps the university management to enhance their efficiencies.

The purpose of this study is to empirically examine the role of manufacturing in improving innovation efficiency of emerging economies. Emerging economies are developing innovations to promote their industries toward high‐technology sectors to facilitate global competitiveness. Nevertheless, the role of manufacturing is often neglected, which can result in low efficiency in the innovation process. This study constructed a three‐stage innovation model that consists of human capital cultivation, manufacturing development, and innovation production to stress and verify the importance of manufacturing. The experimental results suggest that manufacturing development was a key factor affecting innovation efficiency. A performance improvement strategy map was provided to improve each country's innovation efficiency.

PurposeThis study examines the effect of value-added (VA) intellectual capital on business performance from the perspective of productive efficiency, which is derived from its main contributors, namely, profitability and marketability efficiencies in two stages.Design/methodology/approachFirst, this study applies a dynamic network slacks-based measure in a data envelopment analysis (DEA) approach to estimate productive efficiency and its components of 766 Taiwan listed electronics companies over the period of 2010–2018. Second, this study performs regression analyses of the association between intellectual capital (IC), which is proxied by VA intellectual coefficient (VAICTM) and estimated DEA efficiency scores through various regression techniques.FindingsEmpirical evidence shows a significantly positive association between VAICTMand productive efficiency. This study finds the same result from the IC components after splitting VAICTMinto (1) IC efficiency, which comprises human capital efficiency (HCE) and structural capital efficiency and (2) capital employed efficiency. Further examination reveals that HCE is the sole main contributor of the productive efficiency, and profitability and marketability efficiencies of a company.Practical implicationsThe findings of this study highlight the need to discuss the values of intellectual coefficient (IC) from the perspective of productive efficiency for better comprehensiveness.Originality/valueAlthough previous studies have shown that IC is a contributor of business performance, this study further zooms in VAIC and examines its effect on the efficiency of a company in transforming its inputs into outputs.

SARS-CoV-2 infection has become an urgent public health concern worldwide, severely affecting our society and economy due to the long incubation time and high prevalence. People spare no effort on the rapid development of vaccine and treatment all over the world. Amongst the numerous ways of tackling this pandemic, some approaches using extracellular vesicles (EVs) are emerging. In this review, we summarize current prevalence and pathogenesis of COVID-19, involving the combination of SARS-CoV-2 and virus receptor ACE2, endothelial dysfunction and micro thrombosis, together with cytokine storm. We also discuss the ongoing EVs-based strategies for the treatment of COVID-19, including mesenchymal stem cell (MSC)-EVs, drug-EVs, vaccine-EVs, platelet-EVs, and others. This manuscript provides the foundation for the development of targeted drugs and vaccines for SARS-CoV-2 infections.

Abnormally high ecotropic viral integration site 1 (EVI1) expression has been recognized as a poor prognostic factor in acute myeloid leukemia patients. However, its prognostic impact in B cell precursor acute lymphoblastic leukemia (BCP-ALL) remains unknown. A total of 176 pediatric Ph-negative BCP-ALL patients who received at least 1 course of chemotherapy and received chemotherapy only during follow-up were retrospectively tested for EVI1 transcript levels by real-time quantitative PCR at diagnosis, and survival analysis was performed. Clinical and EVI1 expression data of 129 pediatric BCP-ALL patients were downloaded from therapeutically applicable research to generate effective treatments (TARGET) database for validation. In our cohort, the median EVI1 transcript level was 0.33% (range, 0.0068���136.2%), and 0.10% was determined to be the optimal cutoff value for patient grouping by receiver operating characteristic curve analysis. Low EVI1 expression (P = 0.017 and 0.018, respectively). Multivariate analysis showed that EVI1 expression P = 0.066). In conclusion, low EVI1 expression at diagnosis could predict poor outcomes in pediatric Ph-negative BCP-ALL patients receiving chemotherapy. Supplemental data for this article is available online at https://doi.org/10.1080/08880018.2021.1939818 .

Cancer is a major global health challenge for our health system, despite the important pharmacological and therapeutic discoveries we have seen since past 5 decades. The increasing prevalence and mortality of cancer may be closely related to smoking, exposure to environmental pollution, dietary and genetic factors. Despite significant promising discoveries and developments such as cell and biotechnological therapies a new breakthrough in the medical field is needed to develop specific and effective drugs for cancer treatment. On the development of cell therapies, anti-tumor vaccines, and new biotechnological drugs that have already shown promising effects in preclinical studies. With the continuous enrichment and development of chromatin immunoprecipitation sequencing (ChIP-seq) and its derivative technologies, epigenetic modification has gradually become a research hotspot. As key ingredients of epigenetic modification, Writers, Readers, Erasers have been gradually unveiled. Cancer has been associated with epigenetic modification especially methylation and therefore different epigenetic drugs have been developed and some of those are already undergoing clinical phase I or phase II trials, and it is believed that these drugs will certainly assist the treatment in the near future. With respect to this, an overview of anti-tumor drugs targeting modified enzymes and de-modified enzymes will be performed in order to contribute to future research.

We explore the association between related‐party transactions and the efficiency of Taiwanese electronics companies following the adoption of International Financial Reporting Standards (IFRS) for the period 2010–2018. Tests of differences in mean showed that the efficiency and related‐party transactions of the sample companies were significantly lower in the post‐IFRS era. Regression results indicated that related‐party transactions have significantly positive effects on efficiency; however, this positive association turned out to be smaller following the adoption of IFRS in Taiwan. Overall, this study suggests that changing accounting policy and rules can significantly affect related‐party transactions in companies, and ultimately corporate performance.

This study proposes a dynamic two-stage network data envelopment analysis (DEA) model with and without carry-over variables to evaluate corporate performance. Carry-over variables are those continuously held from one term to another, reflecting dynamic components. Apart from considering dynamic aspects, the DEA model called dynamic slacks-based measure with network structure can address various inputs and outputs at both stages and multiple intermediates that link the two stages. We demonstrate the applicability of the proposed model under the assumption of variable returns to scale to the performance evaluation of 30 insurance companies in Malaysia from 2008 to 2016. Specifically, we gauge resource management and investment efficiencies as the two production stages of insurance companies. While investment asset is considered the carry-over variable, investment income is treated as one of the ultimate outputs. Results indicate that the discriminatory power of the overall performance is high when we consider investments, particularly investment assets, as a carry-over variable. Moreover, we employ a multi-criteria decision analysis to compare all insurance companies in a common setting, including each ratio of liquidity, profitability, and leverage. The decision to include these ratios is made after performing regression analyses. This study entails practical implications for insurers and policy makers in terms of resource management and investment after considering investments and relevant performance ratios.

The purpose of this study is to explore the influence of female directors on the corporate performance of Chinese banks and Taiwanese financial holding companies. The sample consists of 14 Chinese banks and 15 Taiwanese financial holding companies in 2010–2014. The empirical results show that the proportion of non-executive female directors and independent female directors have significant positive influence on corporate performance. The result shows that the higher the proportion of female directors is, the better off the corporate performance would be. There is robust evidence in the data to conclude that female directors in specific posts can influence a firm’s corporate performance.

This study investigates how interlocking directorates affect dynamic corporate performance among 187 Taiwanese electronics companies during a 3 year sampling period (2013–2015). This study consists of two stages. First, this study measures the operational efficiency of electronics companies using the dynamic slacks-based measure model of data envelopment analysis. Second, this study adopts a truncated-regression model with bootstrap to examine the impacts of interlocking directorates on dynamic corporate performance. The empirical findings of this study indicate that centrality (direct connections), structural holes (indirect connections), and the number of connections (total connections) related to interlocking directorates have significant positive influences on the dynamic corporate performance of Taiwanese electronics companies. The results suggest that more interlocks at the board level leads to better corporate performance over a long-term period. Overall, this study uses social network analysis to shed light on the role of interlocking directorates and its importance to dynamic corporate performance from the resource dependence perspective.

Acute myeloid leukemia (AML) with t(8;21) is a heterogeneous disease. Although the detection of minimal residual disease (MRD), which is indicated by RUNX1‐RUNX1T1 transcript levels, plays a key role in directing treatment, risk stratification needs to be improved, and other markers need to be assessed. A total of 66 t(8;21) AML patients were tested for aldehyde dehydrogenase (ALDH) activity by flow cytometry at diagnosis, and 52 patients were followed up for a median of 20 (1‐34) months. The median percentage of CD34+ALDH+, CD34+CD38‐ALDH+, and CD34+CD38+ALDH+ cells among nucleated cells were 0.028%, 0.012%, and 0.0070%, respectively. The CD34+ALDH+‐H, CD34+CD38‐ALDH+‐H, and CD34+CD38+ALDH+‐H statuses (the percentage of cells that were higher than the individual cutoffs) were all significantly associated with a lower 2‐year relapse‐free survival (RFS) rate in both the whole cohort and adult patients (P = .015, .016, and .049; P = .014, .018, and .032). Patients with, ALDH status at diagnosis may improve MRD‐based risk stratification in t(8;21) AML, and concurrent high levels of CD34 + ALDH+ at diagnosis and MRD predict relapse.

In today’s dynamic economy, banks should focus on improving their dynamic performance to stay competitive. Using a dataset for the period 2007–2013, this paper evaluates the dynamic performance of ASEAN-5 banks through a data envelopment analysis (DEA) model, called the dynamic slacks-based measure (DSBM) model. The DEA results indicate that banks in Malaysia perform better than those in Singapore, Thailand, Indonesia and the Philippines. Frontier projections through DEA indicate that banks in the ASEAN-5 countries underutilize their long-term assets, resulting in inefficiencies. Furthermore, this study finds that capital structure as a whole is positively related to bank performance.

Approximately 40% of pension funds for military officials, civil servants, and educators in Taiwan are entrusted to international and domestic management funds. However, the average return rate for domestically outsourced funds is not greater than the earnings of self-managed funds. This study establishes a selection mechanism for pension fund outsourcing that conforms to current outsourcing management policies and accounts for both safety and profitability. This study conducts a network data envelopment analysis with considerations of dynamism to gauge the internal management efficiency and investment performance of 37 investment trust companies in Taiwan, thereby accurately measuring the links between internal economic activities and improving overlooked internal productivity activities. The results of this study indicate the internal and external corporate learning benchmarks, which are sequenced to assist the optimal outsourcing measures by applying rough set theory concepts. This study also provides suggestions for the Public Service Pension Fund Management Board in Taiwan in terms of future operations in domestic investment trust companies.

Improving hospital efficiency is an emerging area of interest among policy makers in the new global economy's healthcare system. To ensure accurate efficiency analyses, we consider the nonhomogeneous input/output characteristics of various hospital departments, particularly the Department of Medicine, Department of Surgery, and Department of Other Specialist Medicine. These departments employ co-inputs to produce nonhomogeneous outputs. Specifically, we employ data envelopment analysis to evaluate the efficiency of 15 veterans hospitals in Taiwan. Empirical results show that the performance of the Department of Surgery has higher quality than that of the Department of Medicine and Department of Other Specialist Medicine. In addition, we include another data science technique, namely, impulse response function analysis. The findings indicate that "the New Hospital Accreditation" introduced in 2007 and revised in 2011 improved the efficiency of all departments in their respective first year of introductions. By contrast, the efficiencies of the Department of Surgery and Department of Other Specialist Medicine immediately decreased in the second year after the introductions.

Given a financial time series such as S&P 500, or any historical data in stock markets, how can we obtain useful information from recent transaction data to predict the ups and downs at the next moment? Recent work on this issue shows initial evidence that machine learning techniques are capable of identifying (non-linear) dependency in the stock market price sequences. However, due to the high volatility and non-stationary nature of the stock market, forecasting the trend of a financial time series remains a big challenge. In this paper, we introduced a new method to simplify noisy-filled financial temporal series via sequence reconstruction by leveraging motifs (frequent patterns), and then utilize a convolutional neural network to capture spatial structure of time series. The experimental results show the efficiency of our proposed method in feature learning and outperformance with 4%-7% accuracy improvement compared with the traditional signal process methods and frequency trading patterns modeling approach with deep learning in stock trend prediction.

Background Localized prostate cancers (PCs) may resist neoadjuvant androgen receptor (AR)-targeted therapies as a result of persistent intraprostatic androgens arising through upregulation of steroidogenic enzymes. Therefore, we sought to evaluate clinical effects of neoadjuvant indomethacin (Indo), which inhibits the steroidogenic enzyme AKR1C3, in addition to combinatorial anti-androgen blockade, in men with high-risk PC undergoing radical prostatectomy (RP). Methods This was an open label, single-site, Phase II neoadjuvant trial in men with high to very-high-risk PC, as defined by NCCN criteria. Patients received 12 weeks of apalutamide (Apa), abiraterone acetate plus prednisone (AAP), degarelix, and Indo followed by RP. Primary objective was to determine the pathologic complete response (pCR) rate. Secondary objectives included minimal residual disease (MRD) rate, defined as residual cancer burden (RCB) ≤ 0.25cm3 (tumor volume multiplied by tumor cellularity) and elucidation of molecular features of resistance. Results Twenty patients were evaluable for the primary endpoint. Baseline median prostate-specific antigen (PSA) was 10.1 ng/ml, 4 (20%) patients had Gleason grade group (GG) 4 disease and 16 had GG 5 disease. At RP, 1 (5%) patient had pCR and 6 (30%) had MRD. Therapy was well tolerated. Over a median follow-up of 23.8 months, 1 of 7 (14%) men with pathologic response and 6 of 13 (46%) men without pathologic response had a PSA relapse. There was no association between prostate hormone levels or HSD3B1 genotype with pathologic response. Conclusions In men with high-risk PC, pCR rates remained low even with combinatorial AR-directed therapy, although rates of MRD were higher. Ongoing follow-up is needed to validate clinical outcomes of men who achieve MRD.

Novel recurrent fusion gene types such as zinc finger protein 384 (ZNF384) fusions have been identified in B-cell precursor acute lymphoblastic leukemia (BCP-ALL) with the application of next-generation sequencing technologies. However, the comprehensive large-scale clinical cohort study for clarifying their prognostic significance remains scarce to date. A total of 242 consecutive adult Ph-negative BCP-ALL patients treated in our institute were retrospectively screened ZNF384 fusions at diagnosis by multiplex real time quantitative PCR. ZNF384 fusions were identified in 47 patients (19.4%) and all belonged to B-other ALL (having no high hyperdiploid karyotype, BCR-ABL1, TCF3-PBX1, ETV6-RUNX1, or MLL rearrangement). In the whole cohort, patients with ZNF384 fusions had significantly higher 3-year relapse-free-survival (RFS) and tended to have a higher 3-year overall survival (OS) than those with no ZNF384 fusions (80.1% vs. 52.5%, P = 0.013; 67.6% vs. 54.0%, P = 0.10). For patients receiving chemotherapy alone and received allogeneic-hematologic stem cell transplantation (allo-HSCT) were censored at the time of transplantation, patients with ZNF384 fusions had both similar RFS and similar OS to B-other ALL patients with no ZNF384 fusions (RFS: P =0.94 and 0.30; OS: P =0.94 and 0.51). For patients receiving transplantation, those with ZNF384 fusions had significantly higher 3-year RFS than B-other ALL patients with no ZNF384 fusions and their OS were similar (P = 0.022 and 0.24). Only two of 31 patients with ZNF384 fusions and receiving allo-HSCT relapsed, individually occurred 66.8 and 69.8 months after transplantation. Therefore, ZNF384 fusion is common in adult BCP-ALL, which may define a new group from BCP-ALL containing no classical fusion transcript with better prognosis through receiving allo-HSCT.

Psoriasis is a chronic inflammatory skin disease, in which the key features are epidermis hyperplasia, hyper-keratinization, leading to low drug absorption. As an approach of transdermal drug delivery, the microneedle (MN) has received increasing attentions for its painless penetration and efficient administration. In this study, we fabricated polylactic acid polymer MNs with hot-press method and established a psoriasis-like skin inflammation model in ear and dorsal skin of mice by topical application of imiquimod (IMQ). The dynamometer and insertion test of MNs into parafilm and skin of mice were done, revealing that the MNs have sufficient mechanical properties to insert parafilm and skin of mice. The two methods (apply calcipotriol (CAL) directly and pre-treat with MNs before applying CAL) were used to treat psoriasis and observe the skin inflammation, including skin and epidermal thickening, spleen weight gain, inflammatory cell infiltration, and expression of inflammatory cytokines of TNF-α. Both methods have a therapeutic effect and the effect of the MN pretreatment group is better. In addition, there are statistical differences between the two groups (P 0.05). These features indicated that the MNs may be promising in future clinical applications in improving the imiquimod-induced psoriasis like dermatitis.

Cell-free DNA (cfDNA) is easily accessible in peripheral blood and can be used as biomarkers for cancer diagnostics, prognostics, and therapeutics. The applications of cfDNA in various areas of cancer management are attracting attention. In this review article, we discuss the potential relevance of using cfDNA analysis in clinical oncology, particularly in cancer screening, early diagnosis, therapeutic evaluation, monitoring disease progression; and determining disease prognosis.

Paragangliomas (PGLs) are rare neural tumors that can be benign or malignant and often associated with familial syndromes. We present a case of a 23-year-old male with a large retroperitoneal PGL found incidentally during the workup of elevated liver enzymes. After surgical excision, the patient was found to have an autosomal dominant mutation in the succinate dehydrogenase B (SDHB) gene, which when compared to sporadic PGLs or other familial syndromes is associated with a higher risk of tumor recurrence, occult metastasis, and development of other cancers. The patient’s first-degree relatives were recommended to undergo screening for the genetic mutation.