A Quality-of-Things Model for Assessing the Internet-of-Thing’s Non-Functional Properties

The Internet of Things (IoT) is in a “desperate” need for a practical model that would help in differentiating things according to their non-functional properties. Unfortunately, despite IoT growth, such properties either lack or ill-defined resulting into ad-hoc ways of selecting similar functional things. This paper discusses how things’ non-functional properties are combined into a Quality-of-Things (QoT) model. This model includes properties that define the performance of things’ duties related to sensing, actuating, and communicating. Since the values of QoT properties might not always be available or confirmed, providers of things can tentatively define these values and submit them to an Independent Regulatory Authority (IRA) whose role is to ensure fair competition among all providers. The IRA assesses the values of non-functional properties of things prior to recommending those that could satisfy users’ needs. To evaluate the technical doability of the QoT model, a set of comprehensive experiments are conducted using real datasets. The results depict an acceptable level of the QoT estimation accuracy

Indirect Extrusion: A Multifaceted Approach of Sub-surface Tubular Expansion

Extrusion and indirect extrusion is a very old manufacturing process used in multitudes of applications mainly focused on transportation, household and power industries. Indirect extrusion has found an interesting application in petroleum industry, which resulted in resolving many unsolvable issues over the last few decades. The current and expected future global demand for hydrocarbons became a driving force for researchers to find new comprehensive and cheaper solutions for hydrocarbon production. The challenges faced in oil and gas fields, while drilling, constructing and operating new and old vertical/horizontal wells, are many. The use of indirect extrusion for in-situ expansion of sub-surface tubulars used in wells revolutionized the drilling and completion as opposed to one and half decade back. The emergence of solid expandable tubular technology has changed the basics of how we design and construct wells. The original development of the technology was to overcome the challenges faced by the petroleum industry to reach ultra-deep reservoirs, off-shore drilling, drilling in high-pressure/difficult zones and repair/maintenance of old/ageing wells. However, it gained significant interest of researchers and operators in providing solutions to wide-range problems. The development of a computational framework using finite element method (FEM) enabled to determine the force required for expansion and resulting dimensional changes in final product, which is of direct assistance to the field engineers. The effect of friction and stress variations along contact surface is also determined

Scavenger receptors in host defense: from functional aspects to mode of action

Scavenger receptors belong to a superfamily of proteins that are structurally heterogeneous and encompass the miscellaneous group of transmembrane proteins and soluble secretory extracellular domain. They are functionally diverse as they are involved in various disorders and biological pathways and their major function in innate immunity and homeostasis. Numerous scavenger receptors have been discovered so far and are apportioned in various classes (A-L). Scavenger receptors are documented as pattern recognition receptors and known to act in coordination with other co-receptors such as Toll-like receptors in generating the immune responses against a repertoire of ligands such as microbial pathogens, non-self, intracellular and modified self-molecules through various diverse mechanisms like adhesion, endocytosis and phagocytosis etc. Unlike, most of the scavenger receptors discussed below have both membrane and soluble forms that participate in scavenging; the role of a potential scavenging receptor Angiotensin- Converting Enzyme-2 has also been discussed whereby only its soluble form might participate in preventing the pathogen entry and replication, unlike its membrane-bound form. This review majorly gives an insight on the functional aspect of scavenger receptors in host defence and describes their mode of action extensively in various immune pathways involved with each receptor type

The impact of boron seed priming on seedling establishment, growth, and grain biofortification of mungbean (Vigna radiata L.) in yermosols

Boron-deficiency in Yermosols is among the major constraints to mungbean productivity and grain biofortification in Pakistan. However, agronomic strategies such as boron (B) seed priming have potential to improve mungbean yield and grain biofortification. Moreover, deficiency to toxicity range for B is very narrow; therefore, it is pre-requisite to optimize its dose before field evaluation. A wire house experiment was planned out to reconnoiter the impact of seed priming with B on growth and quality of two cultivars of mungbean, i.e., ‘NM-2011’ and ‘NM-2016’. Four different B levels were used as seed priming, i.e., 0.01%, 0.05%, 0.1% and 1.0% B, (borax Na2B4O7.10H2O, 11.5% B) were tested, whereas hydropriming was regarded as control. Seed priming with 0.01% B significantly (p≤0.05) lowered time taken to start germination and time to reach 50% emergence, whereas improved mean emergence time, emergence index, final emergence percentage, number of leaves, dry and fresh weight of root, shoot, and total weight, root length, plant height, chlorophyll contents, number of pods and 100-grain weight, seeds per plant, grain yield per plant, B concentrations in stem and grain, grain protein, carbohydrate and fiber in both cultivars. Boron seed priming proved beneficial under a specific range; however, deficiency (hydropriming) and excess (above 0.01% B) of B were detrimental for mungbean growth and productivity. The cultivar ‘NM-2016’ had significantly (p≤0.05) higher yield due to prominent increase in yield related traits with 0.01% B priming as compared to ‘NM-2011’. In conclusion, B seed priming (0.01% B) seemed a feasible choice for improving mungbean growth, yield related traits and grain-B concentration of mungbean on Yermosols

Evaluating the antidiabetic and antioxidant properties of 5- benzyl-1,3,4-oxadiazole-2-thiol

Purpose: To evaluate 5-Benzyl-1,3,4-oxadiazole-2-thiol (OXPA) for antidiabetic and antioxidant properties. Methods: Antidiabetic activity was evaluated using three in vitro models, glucose uptake by yeast cells, alpha amylase inhibition assay and hemoglobin glycosylation inhibition assays. Antioxidant potential was determined by DPPH radical scavenging, reducing power and lipid peroxidation assays. Results: OXPA showed antidiabetic activity in all the three models. The activity of the compound was comparable with that of metronidazole in glucose uptake by yeast cells, but the alpha amylase inhibition activity of the compound was slightly lower than that of acarbose, whereas the hemoglobin glycosylation inhibition activity of the compound was higher than that of vitamin E. DPPH free radical and hydrogen peroxide scavenging activity of the compound was comparable with that of vitamin C. In reducing power assay, the activity of the compound was lower than that of vitamin C (p > 0.05). Conclusion: The results of antidiabetic and antioxidant activity indicate that OXPA may be a drugcandidate for treating both diabetes and its associated oxidative stress

Bridging the gap between business processes and IoT

© 2020 ACM. This paper discusses a novel way of making business processes and Internet of Things (IoT) work together. Indeed each suffers from many limitations that the other could help address them and vice versa. On the one hand, business processes are known for capturing organizations\u27 best practices when satisfying users\u27 demands but do not have the capabilities of controlling the physical surrounding that comprises millions of devices/things. On the other hand, IoT is known for provisioning contextualized services to users thanks to millions of devices/things but does not have the capabilities of making these devices/things collaborate. The paper presents a framework to support the collaboration of business processes and IoT. This collaboration is exemplified with 2 types of processes referred as thing-Aware processes (TaP) and process-of-Things (PoT). A system illustrating the development of PoT is presented in the paper as well

MoO3 altered ZnO: A suitable choice for the photocatalytic removal of chloro-acetic acids in natural sunlight exposure

The MoO3 coated ZnO photocatalysts were synthesized for the optimum harvesting of the absorbed ultraviolet sunlight photons by initially permeating Mo6+ ions at the surface of pre-synthesized ZnO and finally transformed to MoO3 by thermal treatment in the air. The absorption spectra of the synthesized powders revealed the extension of the absorption edge in the visible region whereas, the photoluminescence spectroscopy established the supporting role of the MoO3 coating in gradually plummeting the excitons recombination. The growth of additional peaks in Raman as well as X-ray photoelectron spectra and the appearance of the corresponding low-intensity reflection substantiated the surface prevalence of MoO3. The absence of the individual particles of MoO3 in FESEM and the verification of coated layer by HRTEM images validated the authenticity of the adopted synthetic route. The electrochemical evaluation of the synthesized powders under illumination revealed the complete elimination of photocorrosion and the synergic role of the MoO3 layer for improved trap and transfer of charge carriers. The evaluation of the flat-band potentials of the coated powders by Mott-Schottky analysis revealed the suitability of the conduction band edges for the generation of superoxide anion radicals. The photocatalytic activity of the synthesized powders was assessed for the removal of chloro derivatives (mono-, di-, trichloroacetic acids) in comparison to pure acetic acid. A significant effect of the stability, polarity and stereochemical structure of the substrate on the photocatalytic removal process was observed and discussed. The experimental evidences from the time-scale chemical analysis were interpreted for the identification of the reactive oxygen species (ROS) involved in the degradation/mineralization process. The validation of the Langmuir-Hinshelwood kinetic model was also examined. Efforts were made to estimate the plausible route of the degradation/mineralization process

Bayesian Manifold Learning: The Locally Linear Latent Variable Model (LL-LVM)

We introduce the Locally Linear Latent Variable Model (LL-LVM), a probabilistic model for non-linear manifold discovery that describes a joint distribution over observations, their manifold coordinates and locally linear maps conditioned on a set of neighbourhood relationships. The model allows straightforward variational optimisation of the posterior distribution on coordinates and locally linear maps from the latent space to the observation space given the data. Thus, the LL-LVM encapsulates the local-geometry preserving intuitions that underlie non-probabilistic methods such as locally linear embedding (LLE). Its probabilistic semantics make it easy to evaluate the quality of hypothesised neighbourhood relationships, select the intrinsic dimensionality of the manifold, construct out-of-sample extensions and to combine the manifold model with additional probabilistic models that capture the structure of coordinates within the manifold