Complete liquification time test coupled with solvent fractionation technique to detect adulteration of foreign fats in ghee

Complete liquification time (CLT) test (min:s) exploits the physical property of milk fat as the time required by solid fat to melt completely at a defined temperature. It has been used to detect adulteration of groundnut oil and goat body fat when added singly and in combination with ghee. The Complete liquification time test for samples containing a combination of adulterants was carried out before and after solvent fractionation. The results revealed that adulterants added individually could be detected at higher levels (15%, w/w, groundnut oil in cow ghee; and 10%, w/w, goat body fat in buffalo ghee), while fractionation reduced the detection limit to lowest level (10%, w/w) used in this study.     

Colloid‐in‐Liquid Crystal Gels that Respond to Biomolecular Interactions

This paper advances the design of stimuli‐responsive materials based on colloidal particles dispersed in liquid crystals (LCs). Specifically, thin films of colloid‐in‐liquid crystal (CLC) gels undergo easily visualized ordering transitions in response to reversible and irreversible (enzymatic) biomolecular interactions occurring at the aqueous interfaces of the gels. In particular, LC ordering transitions can propagate across the entire thickness of the gels. However, confinement of the LC to small domains with lateral sizes of ～10 μm does change the nature of the anchoring transitions, as compared to films of pure LC, due to the effects of confinement on the elastic energy stored in the LC. The effects of confinement are also observed to cause the response of individual domains of the LC within the CLC gel to vary significantly from one to another, indicating that manipulation of LC domain size and shape can provide the basis of a general and facile method to tune the response of these LC‐based physical gels to interfacial phenomena. Overall, the results presented in this paper establish that CLC gels offer a promising approach to the preparation of self‐supporting, LC‐based stimuli‐responsive materials.     

Prediction of Stress and Strain Based Forming Limit Diagram During Tube Hydroforming Process

Hydroforming process is most widely used in automotive industries. The current work involves the formability evaluation of DQ Steel and Al 5182 tubular blanks using the bulge test simulation done on PAM-STAMP 2G solver. The dependence of stress based forming limit diagrams are also evaluated in complex loading paths in case of hydro-forming as they are independent of strain paths.     

Theoretical and numerical study of lamellar eutectoid growth influenced by volume diffusion

We investigate the lamellar growth of pearlite at the expense of austenite during the eutectoid transformation in steel. To begin with, we extend the Jackson–Hunt-type calculation (previously used to analyze eutectic transformation) to eutectoid transformation by accounting for diffusion in all the phases. Our principal finding is that the growth rates in the presence of diffusion in all the phases are different compared to the case when diffusion in growing phases is absent. The difference in the dynamics is described by a factor ’ρ’ which comprises the ratio of the diffusivities of the bulk and the growing phases, along with the ratios of the slopes of the phase coexistence lines. Thereafter, we perform phase-field simulations, the results of which are in agreement with analytical predictions. The phase-field simulations also reveal that diffusion in austenite as well as ferrite leads to the formation of tapered cementite along with an overall increase in the transformation kinetics as compared to diffusion in austenite (only). Finally, it is worth noting that the aim of present work is not to consider the pearlitic transformation in totality; rather it is to isolate and thereby investigate the influence of diffusivity in the growing phases on the front velocity.     

FPGA-based Novel Adaptive Scheme Using PN Sequences for Self-Calibration and Self-Testing of MEMS-based Inertial Sensors

We propose a novel adaptive technique based on pseudo-random (PN) sequences for self-calibration and self-testing of MEMS-based inertial sensors (accelerometers and gyroscopes). The method relies on using a parameterized behavioral model implemented on FPGA, whose parameters values are adaptively tuned, based on the response to test pseudo-random actuation of the physical structure. Dedicated comb drives actuate the movable mass with binary maximum length pseudo-random sequences of small amplitude, to keep the device within the linear operating regime. The frequency of the stimulus is chosen within the mechanical spectral operating range of the micro-device, such that the induced response leads to the identification of the mechanical transfer function, and to the tuning of the associated digital behavioral model. In case of a micro-gyroscope, experimental results demonstrate the adaptive tracking of the damping coefficient from 5.57?×?10^?5? Kg/s to 7.12?×?10^?5? Kg/s and of the stiffness coefficient from 132?N/m to 137.7?N/m. In the case of a MEMS accelerometer, the damping and stiffness coefficients are correctly tracked from 3.4?×?10^?3? Kg/s and 49.56?N/m to 4.57?×?10^?3? Kg/s and 51.48?N/m, respectively—the former values are designer-specified target values, while the latter are experimentally measured parameters for fabricated devices operating in a real environment. Hardware resources estimation confirms the small area the proposed algorithm occupies on the targeted FPGA device.     

Assessing the Impact of High-Pressure Processing on Selected Physical and Biochemical Attributes of White Cabbage (Brassica oleracea L. var. capitata alba)

The aim of this study was to investigate the effect of combined pressure/temperature treatments (200, 400 and 600 MPa, at 20 and 40 °C) on key physical and chemical characteristics of white cabbage (Brassica oleracea L. var. capitata alba). Thermal treatment (blanching) was also investigated and compared with high-pressure processing (HPP). HPP at 400 MPa and 20–40 °C caused significantly larger colour changes compared to any other pressure or thermal treatment. All pressure treatments induced a softening effect, whereas blanching did not significantly alter texture. Both blanching and pressure treatments resulted in a reduction in the levels of ascorbic acid, effect that was less pronounced for blanching and HPP at 600 MPa and 20–40 °C. HPP at 600 MPa resulted in significantly higher total phenol content, total antioxidant capacity and total isothiocyanate content compared to blanching. In summary, the colour and texture of white cabbage were better preserved by blanching. However, HPP at 600 MPa resulted in significantly higher levels of phytochemical compounds. The results of this study suggest that HPP may represent an attractive technology to process vegetable-based food products that better maintains important aspects related to the content of health-promoting compounds. This may be of particular relevance to the food industry sector involved in the development of convenient novel food products with excellent functional properties.     

Tunable fluorescence in chromophore-functionalized nanodiamond induced by energy transfer

Hybrid materials comprising diamond nanoparticles (ND) and oligo(phenylenevinylenes) (OPVs) have been synthesized by the covalent linking of acid-functionalized ND and OPV-amine. Chromophore-functionalized ND particles with long alkyl and π-conjugated groups are readily dispersed in various organic solvents without any precipitation after several hours. A careful study of the properties of the hybrid materials revealed an aggregation-induced energy transfer from the blue fluorescent nanodiamonds to green emitting OPVs. At very low concentrations the hybrid emits in the blue region, but as the concentration is increased a gradual transition from blue to green emission occurs. Competitive processes such as aggregation-induced enhanced emission and self-absorption have been ruled out and a molecular picture of the phenomenon is proposed. This strategy can open a plethora of new avenues for fluorescent nanodiamonds in optoelectronics and light harvesting apart from bio-imaging.     

A methodology to measure and monitor level of operational effectiveness of a CSOC

In a cybersecurity operations center (CSOC), under normal operating conditions in a day, sufficient numbers of analysts are available to analyze the amount of alert workload generated by intrusion detection systems (IDSs). For the purpose of this paper, this means that the cybersecurity analysts can fully investigate each and every alert that is generated by the IDSs in a reasonable amount of time. However, there are a number of disruptive factors that can adversely impact the normal operating conditions such as (1) higher alert generation rates from a few IDSs, (2) new alert patterns that decreases the throughput of the alert analysis process, and (3) analyst absenteeism. The impact of all the above factors is that the alerts wait for a long duration before being analyzed, which impacts the readiness of the CSOC. It is imperative that the readiness of the CSOC be quantified, which in this paper is defined as the level of operational effectiveness (LOE) of a CSOC. LOE can be quantified and monitored by knowing the exact deviation of the CSOC conditions from normal and how long it takes for the condition to return to normal. In this paper, we quantify LOE by defining a new metric called total time for alert investigation (TTA), which is the sum of the waiting time in the queue and the analyst investigation time of an alert after its arrival in the CSOC database. A dynamic TTA monitoring framework is developed in which a nominal average TTA per hour (avgTTA/hr) is established as the baseline for normal operating condition using individual TTA of alerts that were investigated in that hour. At the baseline value of avgTTA/hr, LOE is considered to be ideal. Also, an upper-bound (threshold) value for avgTTA/hr is established, below which the LOE is considered to be optimal. Several case studies illustrate the impact of the above disruptive factors on the dynamic behavior of avgTTA/hr, which provide useful insights about the current LOE of the system. Also, the effect of actions taken to return the CSOC to its normal operating condition is studied by varying both the amount and the time of action, which in turn impacts the dynamic behavior of avgTTA/hr. Results indicate that by using the insights learnt from measuring, monitoring, and controlling the dynamic behavior of avgTTA/hr, a manager can quantify and color-code the LOE of the CSOC. Furthermore, the above insights allow for a deeper understanding of acceptable downtime for the IDS, acceptable levels for absenteeism, and the recovery time and effort needed to return the CSOC to its ideal LOE.     

Influence of soil density on gas permeability and water retention in soils amended with in-house produced biochar

Biochar has been used as an environment-friendly enhancer to improve the hydraulic properties(e.g.suction and water retention) of soil.However,variations in densities alter the properties of the soil-biochar mix.Such density variations are observed in agriculture(loosely compacted) and engineering(densely compacted) applications.The influence of biochar amendment on gas permeability of soil has been barely investigated,especially for soil with diffe rent densities.The maj or obj ective of this study is to investigate the water retention capacity,and gas permeability of biochar-amended soil(BAS) with different biochar contents under varying degree of compaction(DOC) conditions.In-house produced novel biochar was mixed with the soil at different amendment rates(i.e.biochar contents of 0%,5% and 10%).All BAS samples were compacted at three DOCs(65%,80% and 95%) in polyvinyl chloride(PVC)tubes.Each soil column was subjected to drying-wetting cycles,during which soil suction,water content,and gas permeability were measured.A simplified theoretical framework for estimating the void ratio of BAS was proposed.The experimental results reveal that the addition of biochar significantly decreased gas permeability k_g as compared with that of bare soil(BS).However,the addition of 5%biochar is found to be optimum in decreasing kg with an increase of DOC(i.e.k_(g,65%) k_(g,80%) k_(g,95%)) at a relatively low suction range(200 kPa) because both biochar and compaction treatment reduce the connected pores.     

Deep assisted dense model based classification of invasive ductal breast histology images

Neural Computing and Applications - Invasive Ductal Carcinoma (IDC) is one of the types of breast cancer which is mostly diagnosed in the female. The diagnosis of IDC becomes a challenging task...