Swiftlets and Edible Bird’s Nest Industry in Asia

Swiftlets are small insectivorous birds which breed throughout Southeast Asia and the South Pacific. Among many swiftlet species, only a few are notable to produce edible bird’s nests (EBN) from the secreted saliva during breeding seasons. The taxonomy of swiftlets remains one of the most controversial in the avian species due to the high similarity in morphological characteristics among the species. Over the last few decades, researchers have studied the taxonomy of swiftlets based on the morphological trade, behavior, and genetic traits. However, despite all the efforts, the swiftlet taxonomy remains unsolved. The EBN is one of the most expensive animal products and frequently being referred to as the “Caviar of the East”. The EBN market value varies from US$1000.00 to US$10,000.00 per kilogram depending on its grade, shape, type and origin. Hence, bird’s nest harvesting is considered a lucrative industry in many countries in Southeast Asia. However, the industry faced several challenges over the decades such as the authenticity of the EBN, the quality assurance and the depletion of swiftlet population. Furthermore, there is limited scientific evidence regarding EBN’s medical benefits as claimed by manufacturers. This paper reviews the taxonomy of swiftlets, its morphological characteristics, the challenges currently encountered by the industry, and finally the composition and medical benefits of EBN

Swiftlets and edible bird's nest industry in Asia

Swiftlets are small insectivorous birds which breed throughout Southeast Asia and the South Pacific. Among many swiftlet species, only a few are notable to produce edible bird’s nests (EBN) from the secreted saliva during breeding seasons. The taxonomy of swiftlets remains one of the most controversial in the avian species due to the high similarity in morphological characteristics among the species. Over the last few decades, researchers have studied the taxonomy of swiftlets based on the morphological trade, behavior, and genetic traits. However, despite all the efforts, the swiftlet taxonomy remains unsolved. The EBN is one of the most expensive animal products and frequently being referred to as the “Caviar of the East”. The EBN market value varies from US$1000.00 to US$10,000.00 per kilogram depending on its grade, shape, type and origin. Hence, bird’s nest harvesting is considered a lucrative industry in many countries in Southeast Asia. However, the industry faced several challenges over the decades such as the authenticity of the EBN, the quality assurance and the depletion of swiftlet population. Furthermore, there is limited scientific evidence regarding EBN’s medical benefits as claimed by manufacturers. This paper reviews the taxonomy of swiftlets, its morphological characteristics, the challenges currently encountered by the industry, and finally the composition and medical benefits of EBN

A New Class of Non-Linear Stability Preserving Operators

We extend Br\"and\'en's recent proof of a conjecture of Stanley and describe a new class of non-linear operators that preserve weak Hurwitz stability and the Laguerre-P\'olya class.Comment: Fixed typos, spelling, and updated links in reference

Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions

No embargo requiredThe global financial crisis in 2008 spurred the need to study systemic risk in financial markets, which is of interest to both academics and practitioners alike. We first aimed to measure and forecast systemic risk in global financial markets and then to construct a trade decision model for investors and financial institutions to assist them in forecasting risk and potential returns based on the results of the analysis of systemic risk. The factor copula-generalized autoregressive conditional heteroskedasticity (GARCH) models and component expected shortfall (CES) were combined for the first time in this study to measure systemic risk and the contribution of individual countries to global systemic risk in global financial markets. The use of factor copula-based models enabled the estimation of joint models in stages, thereby considerably reducing computational burden. A high-dimensional dataset of daily stock market indices of 43 countries covering the period 2003 to 2019 was used to represent global financial markets. The CES portfolios developed in this study, based on the forecasting results of systemic risk, not only allow spreading of systemic risk but may also enable investors and financial institutions to make profits. The main policy implication of our study is that forecasting systemic risk of global financial markets and developing portfolios can provide valuable insights for financial institutions and policy makers to diversify portfolios and spread risk for future investments and trade.</jats:p

Symptom burden and unmet needs in MPM:exploratory analyses from the RESPECT-Meso study

© The Author(s) 2020. Objective: Malignant Pleural Mesothelioma (MPM) has a poor prognosis and high symptom burden. RESPECT-Meso was a multicenter randomized study examining the role of early specialist palliative care (SPC) on quality of life (QoL) with MPM. This is a post-hoc exploratory analysis of the symptom burden and unmet needs identified from RESPECT-Meso participants. Methods: Exploratory analysis from 174 participants using the General Health Status (GHS) measure (from the EORTC QLQ-C30 QoL questionnaire) and 87 participants using validated assessment questionnaires in those randomized to SPC. Eligibility for the study included confirmed MPM with diagnosis \u3c 6 weeks prior, performance score (PS) 0 or 1, no significant physical or psychological comorbidity. Cox proportional hazards models were derived to examine for relationships with survival. Free text was assessed using content analysis, looking for common themes and words. Results: Participants were predominantly male (79.9%), mean age 72.8 years, PS was 0 in 38%, 78% of MPM was epithelioid. At least 3 symptoms were reported in 69.8% of participants, including fatigue (81%), dyspnea (73.3%), pain (61.2%), weight loss (59.3%). Anxiety was reported by 54.7% of participants, 52.3% low mood and 48.8% anhedonia symptoms. After multivariable adjustment, only pain remained statistically significant with a hazard ratio (HR) 2.9 (95% CI 1.3-6.7; p = 0.01). For each 1 unit increase in GHS score, the HR for death was 0.987 (0.978-0.996; p = 0.006), indicating a worse reported QoL is related to shorter survival. Unmet needs were common: 25.9% wanted more information about their condition, 24.7% about their care and 21.2% about their treatment. 79.1% were concerned about the effect of their illness on family. Conclusion: There is a high symptom burden in mesothelioma despite good baseline performance status. A worse QoL is associated with a worse survival. Unmet needs are common, perhaps highlighting a need for improved communication and information sharing

Finding multiple target optimal intervention in disease-related molecular network

Drugs against multiple targets may overcome the many limitations of single targets and achieve a more effective and safer control of the disease. Numerous high-throughput experiments have been performed in this emerging field. However, systematic identification of multiple drug targets and their best intervention requires knowledge of the underlying disease network and calls for innovative computational methods that exploit the network structure and dynamics. Here, we develop a robust computational algorithm for finding multiple target optimal intervention (MTOI) solutions in a disease network. MTOI identifies potential drug targets and suggests optimal combinations of the target intervention that best restore the network to a normal state, which can be customer designed. We applied MTOI to an inflammation-related network. The well-known side effects of the traditional non-steriodal anti-inflammatory drugs and the recently recalled Vioxx were correctly accounted for in our network model. A number of promising MTOI solutions were found to be both effective and safer

Novel Assays of Thrombogenic Pathogenicity in the Antiphospholipid Syndrome Based on the Detection of Molecular Oxidative Modification of the Major Autoantigen β2-Glycoprotein I

Objective. Beta-2-glycoprotein I (beta(2)GPI) constitutes the major autoantigen in the antiphospholipid syndrome (APS), a common acquired cause of arterial and venous thrombosis. We recently described the novel observation that beta(2)GPI may exist in healthy individuals in a free thiol (biochemically reduced) form. The present study was undertaken to quantify the levels of total, reduced, and posttranslationally modified oxidized beta(2)GPI in APS patients compared to various control groups.Methods. In a retrospective multicenter analysis, the proportion of beta(2)GPI with free thiols in serum from healthy volunteers was quantified. Assays for measurement of reduced as well as total circulating beta(2)GPI were developed and tested in the following groups: APS (with thrombosis) (n = 139), autoimmune disease with or without persistent antiphospholipid antibodies (aPL) but without APS (n = 188), vascular thrombosis without APS or aPL (n = 38), and healthy volunteers (n = 91).Results. Total beta(2)GPI was significantly elevated in patients with APS (median 216.2 mu g/ml [interquartile range 173.3-263.8]) as compared to healthy subjects (median 178.4 mu g/ml [interquartile range 149.4-227.5] [P < 0.0002]) or control patients with autoimmune disease or vascular thrombosis (both P < 0.0001). The proportion of total beta(2)GPI in an oxidized form (i.e., lacking free thiols) was significantly greater in the APS group than in each of the 3 control groups (all P < 0.0001).Conclusion. This large retrospective multicenter study shows that posttranslational modification of beta(2)GPI via thiol-exchange reactions is a highly specific phenomenon in the setting of APS thrombosis. Quantification of posttranslational modifications of beta(2)GPI in conjunction with standard laboratory tests for APS may offer the potential to more accurately predict the risk of occurrence of a thrombotic event in the setting of APS

Simple top-down preparation of magnetic Bi0.9_{0.9}Gd0.1_{0.1}Fe1−x_{1-x}Tix_xO3_3 nanoparticles by ultrasonication of multiferroic bulk material

We present a simple technique to synthesize ultrafine nanoparticles directly from bulk multiferroic perovskite powder. The starting materials, which were ceramic pellets of the nominal compositions of Bi$_{0.9}$Gd$_{0.1}$Fe$_{1-x}$Ti$_x$O$_3$ (x = 0.00-0.20), were prepared initially by a solid state reaction technique, then ground into micrometer-sized powders and mixed with isopropanol or water in an ultrasonic bath. The particle size was studied as a function of sonication time with transmission electron microscopic imaging and electron diffraction that confirmed the formation of a large fraction of single-crystalline nanoparticles with a mean size of 11-13 nm. A significant improvement in the magnetic behavior of Bi$_{0.9}$Gd$_{0.1}$Fe$_{1-x}$Ti$_x$O$_3$ nanoparticles compared to their bulk counterparts was observed at room temperature. This sonication technique may be considered as a simple and promising route to prepare ultrafine nanoparticles for functional applications.Comment: 7 pages, 5 figure

Influence of the initial chemical conditions on the rational design of silica particles

The influence of the water content in the initial composition on the size of silica particles produced using the Stöber process is well known. We have shown that there are three morphological regimes defined by compositional boundaries. At low water levels (below stoichiometric ratio of water:tetraethoxysilane), very high surface area and aggregated structures are formed; at high water content (>40 wt%) similar structures are also seen. Between these two boundary conditions, discrete particles are formed whose size are dictated by the water content. Within the compositional regime that enables the classical Stöber silica, the structural evolution shows a more rapid attainment of final particle size than the rate of formation of silica supporting the monomer addition hypothesis. The clearer understanding of the role of the initial composition on the output of this synthesis method will be of considerable use for the establishment of reliable reproducible silica production for future industrial adoption