Temperature-stable parallel-plate dielectric cell for broadband liquid impedance measurements

A liquid impedance cell for broadband impedance measurements up to 110 MHz is presented. The design incorporates temperature control and minimizes parasitic capacitance and inductance. The cell is simple to fabricate and uses chemically resistant materials, stainless steel, and Teflon. This dielectric cell can be used in a variety of liquid measurements, particularly those related to impedance measurements of biological objects in solution. Temperature control is illustrated in measurements of the permittivity of deionized water from 5 to 55 °C. Numerical fitting procedures employed on the relaxation curves indicate good agreement with previous studies on beta-lactoglobulin and hen lysozyme. Titration capability is demonstrated through dielectric titration of hen lysozyme and beta-lactoglobulin.     

Unconfined compressive strength of fly ash reinforced with jute geotextiles

A series of unconfined compressive strength (UCS) tests have been conducted on unreinforced fly ash as well as fly ash reinforced with jute geotextiles. The effects of different governing parameters viz., degree of saturation, size of samples, number of jute geotextile layers and age of sample on UCS have been studied. From the test results it is found that the values of UCS are maximum at degree of saturation of 70–75%. The effect of sample size on the values of UCS for unreinforced fly ash is insignificant, whereas with increase in diameter of sample, values of UCS increase in case of reinforced fly ash. With increase in number of jute geotextile layers for reinforced fly ash samples, values of UCS increase and maximum enhancement is found to be around 525% with 4 layers of reinforcement. A non-linear power model has been developed to estimate unconfined compressive strength (UCS_R) of fly ash reinforced with jute geotextiles in terms of unconfined compressive strength (UCS_UR) of unreinforced fly ash and number of layers of reinforcement (N).     

Capillary flow-driven blood plasma separation and on-chip analyte detection in microfluidic devices

We report a comprehensive review on the capillary flow-driven blood plasma separation and on-chip analyte detection in microfluidic devices. Blood plasma separation is the primary sample preparation step prior to most biochemical assays. Conventionally, centrifugation is used for the sample preparation process. There are numerous works reporting blood plasma separation in microfluidic devices which aim at miniaturizing the sample preparation procedure. Capillary-based blood plasma separation shows promise in actualizing point-of-care diagnostic devices for applications in resource-limited settings including military camps and rural areas. In this review, the devices have been categorized based on active and passive plasma separation techniques used for the separation of plasma from capillary-driven blood sample. A comparison between different techniques used for blood plasma separation is outlined. On-chip detection of analytes present in the separated plasma obtained using some of these reported devices is also presented and discussed.     

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

This article proposes an adaptive and modified Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm, using fuzzy logic step size controller, for a wind energy conversion system (WECS) based on wound rotor synchronous generator. The modified P&O controller uses additional current information of the dc-link, to decrease power oscillation around MPP, and choose the correct direction of the perturbation, while wind speed increase condition, depending on the sign of dc-link current change. So, in this contribution, a modified drift-free P&O algorithm was chosen because it gives better results, but the duty cycle step size in the proposed MPPT controller has been varied adaptively, using a fuzzy logic inference system based on the variation of the rectifier output power and the previous change of the duty cycle to get fast convergence until the MPP is reached in increasing and decreasing wind speed conditions. Performances and robustness of the proposed speed sensorless MPPT controller are evaluated in an experiment implementation, using a WECS emulator and dSpace DS1104 controller board, where experimental results show that the proposed method guarantees fast convergence with better energy quality and high robustness against speed or load change conditions.     

Two-warehouse partial backlogging inventory model for deteriorating items with linear trend in demand under inflationary conditions

In today's business transactions, there are various reasons, namely, bulk purchase discounts, re-ordering costs, seasonality of products, inflation induced demand, etc., which force the buyer to order more than the warehouse capacity. Such situations call for additional storage space to store the excess units purchased. This additional storage space is typically a rented warehouse. Inflation plays a very interesting and significant role here: It increases the cost of goods. To safeguard from the rising prices, during the inflation regime, the organisation prefers to keep a higher inventory, thereby increasing the aggregate demand. This additional inventory needs additional storage space, which is facilitated by a rented warehouse. Ignoring the effects of the time value of money and inflation might yield misleading results. In this study, a two-warehouse inventory model with linear trend in demand under inflationary conditions having different rates of deterioration has been developed. Shortages at the owned warehouse are also allowed subject to partial backlogging. The solution methodology provided in the model helps to decide on the feasibility of renting a warehouse. Finally, findings have been illustrated with the help of numerical examples. Comprehensive sensitivity analysis has also been provided.     

Weyl Semimetals as Hydrogen Evolution Catalysts

The search for highly efficient and low‐cost catalysts is one of the main driving forces in catalytic chemistry. Current strategies for the catalyst design focus on increasing the number and activity of local catalytic sites, such as the edge sites of molybdenum disulfides in the hydrogen evolution reaction (HER). Here, the study proposes and demonstrates a different principle that goes beyond local site optimization by utilizing topological electronic states to spur catalytic activity. For HER, excellent catalysts have been found among the transition‐metal monopnictides—NbP, TaP, NbAs, and TaAs—which are recently discovered to be topological Weyl semimetals. Here the study shows that the combination of robust topological surface states and large room temperature carrier mobility, both of which originate from bulk Dirac bands of the Weyl semimetal, is a recipe for high activity HER catalysts. This approach has the potential to go beyond graphene based composite photocatalysts where graphene simply provides a high mobility medium without any active catalytic sites that have been found in these topological materials. Thus, the work provides a guiding principle for the discovery of novel catalysts from the emerging field of topological materials.     

Passive ranging using a moving camera

This article addresses the problem of determining the 3-dimensional locations of salient points in the environment of a moving camera based on a monocular image sequence obtained by the camera. The camera's translational and rotational velocities are assumed to be known approximately via inertial sensors. The motion of the camera is represented by a constant velocity model. Salient points in the image sequence are extracted using Gabor wavelets and tracked using labeled graph matching. The 3-D positions of the selected environmental points relative to the camera are then estimated recursively using an extended Kalman filter (EKF), after initialization by two-frame motion stereo. The motion parameters of the camera are also refined simultaneously. Experimental results on real data are given. © 1992 John Wiley & Sons, Inc.     

The Core Curriculum on Childhood Trauma: A tool for training a trauma-informed workforce.

Recognition of the nationwide high prevalence of psychological trauma in children and adolescents, combined with increasing awareness of the far-reaching adverse consequences of childhood trauma, have led to calls to develop a trauma-informed mental health workforce. We describe the initial pilot test of the Core Concepts portion of the Core Curriculum on Childhood Trauma, as conducted in a large graduate school of social work. The Core Curriculum uses detailed case vignettes of trauma-exposed youth and families, combined with problem-based learning methods, to promote two primary learning aims: (a) to enhance the development of foundational trauma-related conceptual knowledge, and (b) to accelerate the acquisition of trauma-informed clinical reasoning and clinical judgment. Vignettes are presented in segments to simulate gathering, organizing, drawing meaning from, and making decisions based on information in professional practice. After each segment, the facilitator helps learners to summarize relevant facts, develop hunches and hypotheses, identify learning issues, and plan next steps. The Curriculum was very favorably received by students and was associated with marked increases in self-efficacy in applying the Core Concepts to work with trauma-exposed youth and families. We discuss ways in which the Curriculum can be used, especially as a foundation for training in specific evidence-based treatment protocols, to help prepare a national mental health workforce capable of implementing trauma-informed evidence-based practice. (PsycINFO Database Record (c) 2011 APA, all rights reserved)