Lying about Private Information: An Ethical Justification

Lying motivated by a fear of misusing private information is a key issue in ethics with many important applications in law, business, politics, and psychology. In this paper, lying is separated according to two types of assertions: lying about non-private information and lying about private information. This distinction is applied to the case of the \u27known murderer\u27 in the context of Kant\u27s categorical imperative. The main result of the paper is narrowing the ethical dilemma to a choice between \u27a zero private information society\u27 and \u27an alTlying-about-private-information society\u27. We claim that privacy as a universal requirement supports lying about private information in order to avoid harm. This thesis has been applied to a current situation where customers, who are lying about their private information, are met with moral outrage and loss of credibility. Our conclusion is that enterprises have to modify their strategies and consider lying about private information, mainly, as a descriptive non-moral phenomenon that can be handled through primarily non-normative measures

The GIP receptor displays higher basal activity than the GLP-1 receptor but does not recruit GRK2 or arrestin3 effectively.

Background and Objectives: Glucagon-like peptide-1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) are important regulators of insulin secretion, and their functional loss is an early characteristic of type 2 diabetes mellitus (T2DM). Pharmacological levels of GLP-1, but not GIP, can overcome this loss. GLP-1 and GIP exert their insulinotropic effects through their respective receptors expressed on pancreatic β-cells. Both the GLP-1 receptor (GLP-1R) and the GIP receptor (GIPR) are members of the secretin family of G protein-coupled receptors (GPCRs) and couple positively to adenylate cyclase. We compared the signalling properties of these two receptors to gain further insight into why GLP-1, but not GIP, remains insulinotropic in T2DM patients. Methods: GLP-1R and GIPR were transiently expressed in HEK-293 cells, and basal and ligand-induced cAMP production were investigated using a cAMP-responsive luciferase reporter gene assay. Arrestin3 (Arr3) recruitment to the two receptors was investigated using enzyme fragment complementation, confocal microscopy and fluorescence resonance energy transfer (FRET). Results: GIPR displayed significantly higher (P<0.05) ligand-independent activity than GLP-1R. Arr3 displayed a robust translocation to agonist-stimulated GLP-1R but not to GIPR. These observations were confirmed in FRET experiments, in which GLP-1 stimulated the recruitment of both GPCR kinase 2 (GRK2) and Arr3 to GLP-1R. These interactions were not reversed upon agonist washout. In contrast, GIP did not stimulate recruitment of either GRK2 or Arr3 to its receptor. Interestingly, arrestin remained at the plasma membrane even after prolonged (30 min) stimulation with GLP-1. Although the GLP-1R/arrestin interaction could not be reversed by agonist washout, GLP-1R and arrestin did not co-internalise, suggesting that GLP-1R is a class A receptor with regard to arrestin binding. Conclusions:: GIPR displays higher basal activity than GLP-1R but does not effectively recruit GRK2 or Arr3

OPTIMAL SLIDING MODE CONTROLLER DESIGN BASED ON WHALE OPTIMIZATION ALGORITHM FOR LOWER LIMB REHABILITATION ROBOT

The Sliding Mode Controllers (SMCs) are considered among the most common stabilizer and controllers used with robotic systems due to their robust nonlinear scheme designed to control nonlinear systems. SMCs are insensitive to external disturbance and system parameters variations. Although the SMC is an adaptive and model-based controller, some of its values need to be determined precisely. In this paper, an Optimal Sliding Mode Controller (OSMC) is suggested based on Whale Optimization Algorithm (WOA) to control a two-link lower limb rehabilitation robot. This controller has two parts, the equivalent part, and the supervisory controller part. The stability assurance of the controlled rehabilitation robot is analyzed based on Lyapunov stability. The WO algorithm is used to determine optimal parameters for the suggested SMC. Simulation results of two tested trajectories (linear step signal and nonlinear sine signal) demonstrate the effectiveness of the suggested OSMC with fast response, very small overshoot, and minimum steady-state error

Study of the Active Compound in the Essential Oil of Myrtus communis L.

This study appears of the major volatile compounds in the essential oil of myrtle leaves because of its significant medical and economic benefits. The essential oil composition of Myrtus communis leaves during its flowering stage was determined. six volatile compounds were identified in leaves essential oils, α-Pinene 308 µg/ml, linalool (23.83 µg/ml), Eucalyptol or 1,8-cineole (41.46 µg/ml), Limonene (45.22 µg/ml), α-terpineol (41.73 µg/ml), Geranyl acetate (18.28 µg/ml) were the main monoterpene compounds. α-Pinene was Represents the bulk of the other compounds in the myrtle leave Keywords: Myrtus communis L., myrtle, flowering stage, essential oil, chemical compounds

Ethylene responsive transcription factor ERF109 retards PCD and improves salt tolerance in plant

Semi-quantitative RT-PCR for tobacco VIGS lines of 13 knocked down TFs induced 2 h post oxalic acid treatment (20 mM) as compared to their WT and VIGS line with empty pTRV2 (V2) plants. Amplicon sizes of different genes and primers used are shown in Additional file 5: Table S3. The Nbactin gene was used as the house-keeping control. Gene codes refer to those indicated in Additional file 3: Table S2. (DOCX 684 kb