Lossy/Lossless Floating/Grounded Inductance Simulation Using One DDCC

In this work, we present new topologies for realizing one lossless grounded inductor and two floating, one lossless and one lossy, inductors employing a single differential difference current conveyor (DDCC) and a minimum number of passive components, two resistors, and one grounded capacitor. The floating inductors are based on ordinary dual-output differential difference current conveyor (DO-DDCC) while the grounded lossless inductor is based one a modified dual-output differential difference current conveyor (MDO-DDCC). The proposed lossless floating inductor is obtained from the lossy one by employing a negative impedance converter (NIC). The non-ideality effects of the active element on the simulated inductors are investigated. To demonstrate the performance of the proposed grounded inductance simulator as an example, it is used to construct a parallel resonant circuit. SPICE simulation results are given to confirm the theoretical analysis

Talent and student private rented sector bottlenecks: a preliminary UK investigation

Purpose – The purpose of this paper is to sketch the UK housing backdrop, review the student private rented sector (PRS) and assess the experience of post-graduate university student tenants in the PRS. Design/methodology/approach – A literature review puts the issues of student-PRS responsiveness into context and helps to untangle some UK housing issues. The private sector’s size, growth and performance is assessed by reviewing secondary data. In-depth interviews were then conducted at a regional university campus. Findings – The study confirms accumulating evidence of an unbalanced UK housing market. The study identified four main PRS issues: first, rapid university expansion without accompanying residential construction has sparked rampant PRS growth with, second, quality issues, third, in tight letting market conditions, rented agent service levels fell and fourth, part of the problem is complex PRS management procedures. Research limitations/implications – The research has three noteworthy limitations. First, the macroeconomic analysis integrated secondary research without independent modelling. Second, the views of letting agents, university property managers, planning officers or landlords were not canvassed. Finally, the pilot interviews were geographically restricted. Practical implications – When they expand, universities, local authorities and industry players need to give due consideration to plan for, design and develop quality student accommodation. Over-reliance on the PRS without informed oversight and coordination could undermine student experience and erode long-term UK competitiveness. Social implications – The lack of quality student rented accommodation mirrors a general housing malaise around affordability, polarisation and sustainable “dwelling”. Standards and professionalism in the rented sector is part of the overall quality mix to attract global talent. Originality/value – The preliminary investigation uses mixed-methods to investigate PRS service delivery. It illustrates the interplay between professional property management and wider issues of metropolitan productivity, sustainability and resilience

Comparison of mathematical models and artificial neural networks for prediction of drying kinetics of mushroom in microwave vacuum dryer

Drying characteristics of button mushroom slices were determined using microwave vacuum drier at various powers (130, 260, 380, 450 W) and absolute pressures (200, 400, 600, 800 mbar). To select a suitable mathematical model, 6 thin-layer drying models were fitted to the experimental data. The fitting rates of models were assessed based on three parameters; highest R2, lowest chi square () and root mean square error (RMSE). In addition, using the experimental data, an ANN trained by standard back-propagation algorithm, was developed in order to predict moisture ratio (MR) and drying rate (DR) values based on the three input variables (drying time, absolute pressure, microwave power). Different activation functions and several rules were used to assess percentage error between the desired and the predicted values. According to our findings, Midilli et al. model showed a reasonable fitting with experimental data. While, the ANN model showed its high capability to predict the MR and DR quite well with determination coefficients (R2) of 0.9991, 0.9995 and 0.9996 for training, validation and testing, respectively. Furthermore, their predictions Mean Square Error were 0.00086, 0.00042 and 0.00052, respectively

All-pass section with high gain opportunity

Minaei, Shahram (Dogus Author) -- Conference full title: 33rd International Conference on Telecommunications and Signal Processing, TSP 2010; Baden near Vienna; Austria; 17 August 2010 through 20 August 2010 -- Paper published in Radioengineering, 20 (1) pp. 3-9. Fultext accessible via https://hdl.handle.net/11376/1383In this paper, a new circuit configuration for realizing voltage-mode (VM) all-pass section (APS) is presented. The circuit is cascadable with other VM circuits because of its high input and low output impedances. It consists of two differential difference current conveyors (DDCCs), one grounded resistor and one grounded capacitor. The proposed circuit can be slightly changed by using two additional grounded resistors to provide high gain. Moreover, a quadrature oscillator with minimum number of active and passive elements is derived from the proposed APS. SPICE simulations are performed to verify the theory.Motorol

All-Pass Sections with High Gain Opportunity

In this paper, two new circuits for realizing firstorder voltage-mode (VM) all-pass section (APS) with variable gain are presented. The first proposed filter uses a single differential difference current conveyor (DDCC), one grounded capacitor and three resistors. The second proposed filter consists of two DDCCs, three grounded resistors and one grounded capacitor. It provides highinput and low-output impedances and can provide high gain. Both of the proposed circuits do not require any element matching condition. Moreover, oscillator circuits with minimum number of active and passive elements are derived from the proposed APSs. The proposed circuits are tested experimentally or by simulation using SPICE program to confirm the theory

Inflammatory breast cancer clusters: A hypothesis

Reproduced with permission of Baishideng Publishing Group, World Journal of Clinical Oncology

An improved joint model: POS tagging and dependency parsing

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipeline models, a tagging error propagates, but the model is not able to apply useful syntactic information. The goal of joint models simultaneously reduce errors of POS tagging and dependency parsing tasks. In this research, we attempted to utilize the joint model on the Persian and English language using Corbit software. We optimized the model's features and improved its accuracy concurrently. Corbit software is an implementation of a transition-based approach for word segmentation, POS tagging and dependency parsing. In this research, the joint accuracy of POS tagging and dependency parsing over the test data on Persian, reached 85.59% for coarse-grained and 84.24% for fine-grained POS. Also, we attained 76.01% for coarse-grained and 74.34% for fine-grained POS on English

Flixweed vs. polyethylene glycol in the treatment of childhood functional constipation: A randomized clinical trial

Background: Polyethylene glycol (PEG) is often considered as the first-line treatment for functional constipation in children. Descurainia sophia (L.) Webb et Berth (D. sophia) is a safe recommended medicine in Iranian folk and Traditional Persian Medicine for the treatment of constipation. Objectives: To clinically compare D. sophia with PEG 4000 (without electrolyte) in pediatric constipation and to assess its efficacy and side effects. Patients and Methods: 120 patients aged 2 - 12 years with constipation for at least 3 months were included in an 8 weeks lasting randomized controlled trial within two parallel-groups. Children received either PEG, 0.4 g/kg/day, or D. sophia seeds, 2 grams (for children aged 2 - 4 years) and 3 grams (for those aged > 4 years) per day. Results: A total of 109 patients completed the study (56 in D. sophia and 53 in PEG group). At the end of the study, 36 (64.3) patients in D. sophia group and 29 (54.7) in PEG group were out of Rome III criteria (P = 0.205). Median weekly stool frequency in 0, 1, 2, 3 weeks of the treatment was found to be 2, 5, 5, 5 in D. sophia and 3, 4, 4, 5 in PEG group (P = 0.139, 0.076, 0.844, 0.294), respectively. The number of patients who suffered flatulence was less (5, 8.9) in D. sophia group as compared to PEG group (6, 11.3) at the end of the trial (P = 0.461). D. sophia taste was less tolerated. Conclusions: D. sophia is introduced as a cheap and available medication which can be applied as a safe alternative to conventional PEG in the management of pediatric chronic functional constipation. © 2015, Growth & Development Research Center

Customer knowledge management in software development: a descriptive field survey

Customer Knowledge (CK) plays an important role in the production of high quality and innovative software products. However, there has been little comprehensive academic research on the ‘enablers’ of customer-specific knowledge. Therefore, study aims to analyze Customer Knowledge Management (CKM) ‘enablers’ for enterprise software development companies. Survey questionnaires were distributed to software companies and results showed that most firms focus their efforts more on ‘Technological Infrastructure’ and less on ‘Human’ and ‘Organizational’ CKM enablers. Results demonstrated low positive percent ratings for ‘Human Antecedents’ (Individual Competences & Skills) and ‘Organizational’ enablers (‘Customer Involvement’, CKM ‘Strategy Development’ and ‘Training’). This study contributes to the CKM domain by revealing essential elements that better enable enterprise software development firms to enhance software quality and produce innovative products. The author recommends that software companies place greater emphasis on ‘Human’ and ‘Organizational’ enablers for the successful implementation of CKM strategies