Laboratory Automation: Precision Insertion with Adaptive Fingers utilizing Contact through Sliding with Tactile-based Pose Estimation

Micro well-plates are commonly used apparatus in chemical and biological experiments that are a few centimeters in thickness with wells in them. The task we aim to solve is to place (insert) them onto a well-plate holder with grooves a few millimeters in height. Our insertion task has the following facets: 1) There is uncertainty in the detection of the position and pose of the well-plate and well-plate holder, 2) the accuracy required is in the order of millimeter to sub-millimeter, 3) the well-plate holder is not fastened, and moves with external force, 4) the groove is shallow, and 5) the width of the groove is small. Addressing these challenges, we developed a) an adaptive finger gripper with accurate detection of finger position (for (1)), b) grasped object pose estimation using tactile sensors (for (1)), c) a method to insert the well-plate into the target holder by sliding the well-plate while maintaining contact with the edge of the holder (for (2-4)), and d) estimating the orientation of the edge and aligning the well-plate so that the holder does not move when maintaining contact with the edge (for (5)). We show a significantly high success rate on the insertion task of the well-plate, even though under added noise. An accompanying video is available at the following link: https://drive.google.com/file/d/1UxyJ3XIxqXPnHcpfw-PYs5T5oYQxoc6i/view?usp=sharingComment: 7 pages, 5 figure

Quantitative estimation and evaluation of anti-inflammatory activity of macromolecules of Boswellia serrata

The present study was aimed to isolate and perform qualitative analysis of macromolecules present in Boswellia serrata followed by evaluation of their anti-inflammatory activity by in-vitro IL-6 ELISA study. The oleo gum resin of B. serrata was pretreated with hexane, methanol and the obtained residue was extracted with water and the final dried powder was taken for macromolecule analysis. The macromolecules which comprise of polysaccharides, mucilages and proteins were quantitatively estimated and evaluated for their anti-inflammatory activity by in-vitro IL-6 ELISA study. From the current study, it was found that the macromolecules present in B. serrata majorly comprise of polysaccharides and mucilages with moderate quantity of proteins. The quantitative analysis of polysaccharides, mucilages and proteins were found 35.91%, 34% and 14.29%. From the in-vitro IL-6 ELISA study, it was found that the macromolecules showed 82.63% inhibition of IL-6. The identified macromolecules from B. serrata showed significant anti-inflammatory activity by inhibition of IL- 6 and further need to confirm by in vivo study to qualify B. serrata macromolecules as a promising anti-inflammatory agent

Quantitative estimation and evaluation of anti-inflammatory activity of macromolecules of Boswellia serrata

940-943The present study was aimed to isolate and perform qualitative analysis of macromolecules present in Boswellia serrata followed by evaluation of their anti-inflammatory activity by in-vitro IL-6 ELISA study. The oleo gum resin of B. serrata was pretreated with hexane, methanol and the obtained residue was extracted with water and the final dried powder was taken for macromolecule analysis. The macromolecules which comprise of polysaccharides, mucilages and proteins were quantitatively estimated and evaluated for their anti-inflammatory activity by in-vitro IL-6 ELISA study. From the current study, it was found that the macromolecules present in B. serrata majorly comprise of polysaccharides and mucilages with moderate quantity of proteins. The quantitative analysis of polysaccharides, mucilages and proteins were found 35.91%, 34% and 14.29%. From the in-vitro IL-6 ELISA study, it was found that the macromolecules showed 82.63% inhibition of IL-6. The identified macromolecules from B. serrata showed significant anti-inflammatory activity by inhibition of IL- 6 and further need to confirm by in vivo study to qualify B. serrata macromolecules as a promising anti-inflammatory agent

ESSENS dyslipidemia: A placebo-controlled, randomized study of a nutritional supplement containing red yeast rice in subjects with newly diagnosed dyslipidemia

AbstractObjectiveEvidence suggests prolonged exposure to lower levels of low-density lipoprotein cholesterol (LDL-C), starting at a younger age, substantially lowers cardiovascular (CV) risk. Accordingly, the CV pandemic affecting younger population in low- to low-middle-income countries, where statin usage is poor even in secondary prevention, may benefit from lipid-lowering nutritional products, as nutritional intervention is generally preferred in these cultures. However, the safety and efficacy of such preparations have not been systematically tested.MethodsIn this multicenter, double-blind study, 191 statin-free subjects with newly-diagnosed hyperlipidemia (LDL-C >120 mg/dL, 3.11 mmol/L) and no evidence of CV disease were randomized to one capsule of a proprietary bioactive phytonutrient formulation containing red yeast rice, grape-seed, niacinamide, and folic acid (RYR-NS) or matched placebo twice daily, along with lifestyle modification, for 12 wk.ResultsMean baseline LDL-C levels were 148.5 ± 24.0 mg/dL (3.85 ± 0.62 mmol/L) and 148.6 ± 21.9 mg/dL (3.85 ± 0.57 mmol/L) in the RYR-NS and placebo groups respectively. Compared with placebo, RYR-NS resulted in a significant reduction in LDL-C (−29.4% versus −3.5%, P < 0.0001) and non–high-density lipoprotein cholesterol (non-HDL-C; −29.8% versus −10.3%, P < 0.0001) at 12 wk. With RYR-NS, 43.4% individuals attained desirable LDL-C levels and 55.4% desirable non-HDL-C levels by week 12, compared to only 0% and 1.1%, respectively, at baseline. No safety issues were observed.ConclusionThis study demonstrates the efficacy and safety of RYR-NS in lowering LDL-C and non-HDL-C after 12 wk, with magnitude of LDL-C reduction being comparable to that seen with moderate-intensity statin therapy. Further long-term studies are required to determine the impact of RYR-NS on treatment adherence and clinical outcomes

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research

Using Social Network Theory Towards Development of Wireless Ad hoc Network Trust ∗

The evolution and existence of stable trust relations have been studied extensively in the context of social theory. However, reputation systems or trust schemes have only been recently used in the domain of wireless ad hoc networks. It has been shown that these schemes provide positive results as a self-policing mechanism for the routing of data in wireless ad hoc network security. This paper develops a relationship between the trust concepts in the social network theory and wireless ad hoc networks. In addition, the paper maps existing trust schemes in wireless ad hoc networks to a long-standing theory in social networks. Most importantly, a refined model of trust evaluation in social networks is constructed and mapped to a new trust scheme for ad hoc networks. The new trust scheme is analyzed and shown to outperform existing schemes using scenario and simulation analysis.