Miracle-dz/UniFAR-FTUs huggingface dataset:
User: Inspiration or Constraint?

This article shares findings from a case study conducted in a senior interior design studio in which students were introduced to user–centered integrated design process (user–centered IDP) through a rural community–university collaboration. The goal was to understand the role of the user and user involvement in the interior design process. The research focused on the integration dimension of user–centered IDP and analyzed how students utilized user interaction and knowledge through the stages of the design process. This understanding is important for better interweaving user involvement and design, managing more effective design projects, and supporting student learning in the interior design studio. Research results indicated that students utilized the knowledge of the user in two ways: as an inspiration and as a constraint. The user, as a design factor, oscillated between inspiration and constraint thus suggesting an inspiration–constraint cycle of user in interior design process. This finding demonstrated the constructivist nature of user. Students constructed, deconstructed, and reconstructed the concept of the user based on project context and requirements.
Betavoltaic and photovoltaic energy conversion in three‐dimensional macroporous silicon diodes

A three‐dimensional p–n diode structure is presented for the generation of energy via photovoltaic and betavoltaic modes of operation. Macroporous Silicon (MPS) has a large degree of internal surface area and its vertically oriented pores, which extend deep into the bulk of the Si substrate, allow for the creation of three‐dimensional structures. In this device the MPS will not only serve as a means for creating 3D diode structures, it will also serve as a host matrix for a tritium isotope which emits energetic beta particles. By varying electrochemical etching conditions and using a prepatterning technique, 1.1 μm diameter pores with a spacing of 2.5 μm were achieved. The p–n junction was created using a rapid thermal process (RTP) which relies on the diffusion from an n‐type solid source into the MPS. To ensure the quality of the diode structure, devices were tested using a light source which resulted in a photovoltaic response. Finally, betavoltaic operation was demonstrated by exposing devices to a tritium gas source. The average energy conversion efficiency of the first generation 3D diode was one order of magnitude higher than that of a similar planar device. (© 2007 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Applying hierarchical and adaptive control to coordinating simple robots

approved: Kagan Tumer Coordinating multiple robots to achieve a complex task requires solving two distinct control problems: the high-level control problem of ensuring that each robot aims to perform a useful task (e.g., coordination) and the low-level control problem of ensuring that each robot actually performs the correct actions to achieve its task (e.g., navigation and locomotion). Though addressing both problems simultaneously with one algorithm is appealing, this is often difficult to impossible in domains requiring a combination of complex actions (goal selection, navigation, obstacle avoidance). This thesis establishes a hierarchical control structure, presents an adaptive navigation method, compares it to reactive navigation, and applies established adaptive coordination techniques under severe restrictions. The development and experimentation process produced results showing the following: 1. Hierarchical control structure proves effective and useful for use on resource limited robotic platforms allowing the subsequent navigation and coordination analyses to be addressed individually. 2. Adaptive navigation is an effective approach for dense environments with limited and noisy sensing, providing improvement over reactive navigation by up to 75%. 3. The application of an abstract difference objective function to training for coordination remains effective under limited information and physical robot motion restrictions, outperforming traditional system or local objectives by up to 50%. Specifically, this work establishes that neuro-evolutionary methods are applicable and beneficial both for the discovery of successful navigation techniques, as well as for the generation of coordination behavior in realistic multi-robot teams where individuals are strongly limited in sensing, communication, and computational ability. Possible extensions include increased levels of communication among individuals as well as configuring individual sensing abilities for heterogeneous teams. c ©Copyright by Matthew D. Knudson February 11, 2008 All Rights Reserved Applying Hierarchical and Adaptive Control to Coordinating Simple Robots
Operators' Improvisation in Complex Technological Systems: Successfully Tackling Ambiguity, Enhancing Resiliency and the Last Resort to Averting Disaster

Complex safety‐critical technological systems breakdowns, which are often characterized as ‘low probability, high consequence’, could pose serious threats for workers, the local public, and possibly neighboring regions and the whole country. System designers can neither anticipate all possible scenarios nor foresee all aspects of unfolding emergency. Front‐line operators’ improvisation via dynamic problem solving and reconfiguration of available recourses provide the last resort for preventing a total system failure. Despite advances in automation, operators should remain in charge of controlling and monitoring of safety‐critical systems. Furthermore, at the time of a major emergency, operators will always constitute the society's both the first and last layer of defense; and it is eventually their improvisation and ingenuity that could save the day.
Long Term Effects of Behavioural Interventions to Increase Exercise Among Breast Cancer Patients After Medical Rehabilitation: secondary Analysis of a Randomized Controlled Trial

Abstract Purpose Physical activity (PA) as secondary prevention for breast cancer patients has many positive effects. To evaluate the effectiveness of an intervention involving behavioural and volitional strategies to increase exercise. Materials and Methods The study designed as a randomized controlled trail with 2 follow-up (6 and 12 months after rehabilitation). 1,143 participants were randomized to one of the 4 study groups. Group differences were analysed by multi-level-models. Results After rehab, patients with the combined modules, aftercare-planning (AP) and telephone-support (TS), did exercise 69 min per week (95% CI: 42.85; 94.90) more than the control group. Inactive patients at the beginning of the rehabilitation benefit from the combined intervention. The phone-based intervention alone did not show any effect. Discussion and Conclusion Rehab with the AP module combined with the TS module is associated with patients undertaking more PA.
Improving power system stabilisers performance under sustained random perturbations

This study provides indicators to characterise the performance of an electrical power system subjected to sustained random perturbations in time. Based on these indicators, a methodology is proposed in order to carry out a fine adjustment of PSS parameters. The goal of this procedure is to improve the efficiency of traditional tuning techniques, which are based on small signal stability criteria. The proposed methodology is applied to two international test systems of nine and 39 buses.
Triply Differential Positron and Electron Impact Ionization of Argon: Systematic Features and Scaling

Triply differential data are presented for the 200 eV positron and electron impact ionization of argon. Six electron emission energies between 2.6 and 19 eV, and for scattering angles of 2, 3, and 4 degrees cover a momentum transfer range of 0.16 to 0.31 a.u. The binary and recoil intensities are fitted using a double peak structure in both regions, which, for the present kinematic conditions, are unresolved. The fitted peak intensities and angular positions are shown to have systematic dependences as a function of the momentum transfer and kinematic emission angle, respectively, and illustrate projectile charge effects. A comparison with available theories is made where it is seen that the most notable differences include the fact that for the binary lobe, the observed intensity for emission angles around 100° is absent in the theories, and the theoretical predications overestimate the importance of recoil interactions.
Efficient Proxy Re-encryption Scheme for E-Voting System

With the development of information and communication technologies, especially wireless networks and cell phones, the e-voting system becomes popular as its cost-effectiveness, swiftness, scalability, and ecological sustainability. However, the current e-voting schemes are faced with the problem of privacy leakage and further cause worse vote-buying and voter-coercion problems. Moreover, in large-scale voting, some previous e-voting system encryption scheme with pairing operation also brings huge overhead pressure to the voting system. Thus, it is a vital problem to design a protocol that can protect voter privacy and simultaneously has high efficiency to guarantee the effective implementation of e-voting. To address these problems, our paper proposes an efficient unidirectional proxy re-encryption scheme that provides the re-encryption of vote content and the verification of users’ identity. This function can be exactly applied in the e-voting system to protect the content of vote and preserve the privacy of the voter. Our proposal is proven to be CCA secure and collusion resistant. The detailed analysis also shows that our scheme achieves higher efficiency in computation cost and ciphertext size than the schemes in related fields.
Magnetoresistive magnetometer for space science applications

Measurement of the in situ dc magnetic field on space science missions is most commonly achieved using instruments based on fluxgate sensors. Fluxgates are robust, reliable and have considerable space heritage; however, their mass and volume are not optimized for deployment on nano or picosats. We describe a new magnetometer design demonstrating science measurement capability featuring significantly lower mass, volume and to a lesser extent power than a typical fluxgate. The instrument employs a sensor based on anisotropic magnetoresistance (AMR) achieving a noise floor of less than 50 pT Hz−1/2 above 1 Hz on a 5 V bridge bias. The instrument range is scalable up to ±50 000 nT and the three-axis sensor mass and volume are less than 10 g and 10 cm3, respectively. The ability to switch the polarization of the sensor's easy axis and apply magnetic feedback is used to build a driven first harmonic closed loop system featuring improved linearity, gain stability and compensation of the sensor offset. A number of potential geospace applications based on the initial instrument results are discussed including attitude control systems and scientific measurement of waves and structures in the terrestrial magnetosphere. A flight version of the AMR magnetometer will fly on the TRIO-CINEMA mission due to be launched in 2012.
All-optical KarhunenLoeve Transform Using Multimode Interference Structures on Silicon Nanowires

Abstract A variety of unitary transforms have attracted considerable attention for their application in data, image compression and other signal processing applications. Among many transforms, the KarhunenLoeve transform (KLT) is known to be optimal because of its advantages of computational efficiency, residual correlation and rate distortion criterion. In this paper, it is shown that the all-optical KarhunenLoeve transform can be realized using multimode interference (MMI) structures on silicon wire waveguides. The transfer matrix method (TMM) and the beam propagation method (BPM) are used to verify and optimally design the proposed devices.
Empirical Error Bounds for Monte Carlo Search

The theoretical asymptotic bounds provided for many Monte Carlo methods cannot be calculated using known quantities during search. Often search results provide no principled measure of con-ﬁdence and may be sub-optimal due to premature termination. In this work, we prove two sets of bounds on the error rate of Monte Carlo search over non-stationary bandits and Markov decision processes. The presented bounds hold for general Monte Carlo solvers meeting mild convergence conditions. These bounds can be directly computed at the conclusion of the search and do not require knowledge of the true action-value, allowing them to be used as search stopping criteria. We also provide a simple sub-optimality probability estimation method based on the presented bounds. We empirically test the tightness of the bounds and accuracy of the estimator through experiments on a multi-armed bandit and a discrete Markov decision process.
The Objectives Decision Making Study in Product Innovation Development Process Based on TRIZ Technology Evolution Theory

The TRIZ theory of technology evolution is introduced and its limitations in new product development is assessed in this paper, Based on the multiple approaches evolution patterns of TRIZ Theory, a decision-making procedure model for new product development is proposed and a sample product is used to demonstrate how to use new model to the real developing procedure of a new product.
Implementation of veriloga GaN HEMT model to design RF switch

GaN HEMT model has been implemented in designing of RF switch through VerilogA. The VerilogA model is formed by experimental data as obtained from DC and RF characteristics of the HEMT. A look‐up‐table based VerilogA model has been prepared to simulate the RF switch in Cadence's spectre. The simulated value of the switch property i.e. isolation and insertion loss is found to be −40 dB to −35 dB and −0.5 dB to −2.5 dB, respectively in the 0.5–2.5 GHz frequency range. © 2015 Wiley Periodicals, Inc. Microwave Opt Technol Lett 57:1765–1768, 2015
Optimal short term operational planning for distribution networks

Short term operational electricity distribution network planning (to be distinguished from long-term planning) involves activities aimed at anticipating network constraints and improving network performance within the existing level of basic infrastructure. This concept is commonly used by Transmission Network Operators in order to anticipate and optimize their network operating point at a national and regional level. Based on the development of local load and generation forecasts tools, for which accurate meteorological forecast is required, short-term operational planning decisions in distribution networks will be made in the near future of operational time (Week-1, Day-1). In addition, real-time network automation functions are used in order to solve the few problems which could not be anticipated. This paper introduces EDF R&D and ERDF's vision of the French Distribution System Evolution and presents the DSO induced needs. The voltage control function is used as an example in order to describe the different time sequences.
Building Partial Discharge Signal Wireless Probes

In the recent years compact ultra-wideband (UWB) antennas have received a great attention [1-3] due to the allocation of various frequency bands to UWB systems by Federal Communi‐ cations Committee (FCC) [4]. One of the most interesting aspects of these antennas is their aptitude of detecting electromagnetic (EM) transients with frequency content up to the very high frequency (VHF) range. EM transient phenomena with the above mentioned frequency content are those encountered, for example, in partial discharge (PD) detection. This diagnostic method is now widely used to identify defects taking place in the insulation systems. Wireless systems offer the possibility to achieve the whole shape of PD signals radiated from the source of the PD defects with less distortion due to the electric transmission path.
Entrepreneurial Orientation and Firm Performance: The Moderating Effect of Organizational Structure

This study investigates the effect of entrepreneurial orientation of firms on their performance considering the moderating role of organization structure in firms of the Kaveh industrial city. The executive managers of these firms (approximately 250 people) have formed the statistical society of the study and stratified random sampling method has been employed for sampling. By using Cochran formula, 152 people were selected as sample size. The analysis of collected data was performed using hierarchical regression test and evaluation of structural equations model was done by using AMOS 20 software. Furthermore, the technical specifications of research questionnaire (index reliability, exploratory factor analysis, convergent validity and discriminant validity) were inspected by Smart PLS 2.0 software. Research results, on the one hand, confirm the positive and significant effect of entrepreneurial orientation on firm performance, and on the other hand, show that organization structure significantly moderates the relationship between entrepreneurial orientation and performance. The findings of current study can help the managers of selected companies to improve their firm performance and also to identify the weaknesses and strengths of their organizational structure design in order to encourage employees to engage in entrepreneurial activities.
A Simple Competing Endogenous RNA Network Identifies Novel mRNA, miRNA, and lncRNA Markers in Human Cholangiocarcinoma

Background Cholangiocarcinoma (CCA) is the second most common malignant primary liver tumor and has shown an alarming increase in incidence over the last two decades. However, the mechanisms behind tumorigenesis and progression remain insufficient. The present study aimed to uncover the underlying regulatory mechanism on CCA and find novel biomarkers for the disease prognosis. Method The RNA-sequencing (RNA-seq) datasets of lncRNAs, miRNAs, and mRNAs in CCA as well as relevant clinical information were obtained from the Cancer Genome Atlas (TCGA) database. After pretreatment, differentially expressed RNAs (DERNAs) were identified and further interrogated for their correlations with clinical information. Prognostic RNAs were selected using univariate Cox regression. Then, a ceRNA network was constructed based on these RNAs. Results We identified a total of five prognostic DEmiRNAs, 63 DElncRNAs, and 90 DEmRNAs between CCA and matched normal tissues. Integrating the relationship between the different types of RNAs, an lncRNA-miRNA-mRNA network was established and included 28 molecules and 47 interactions. Screened prognostic RNAs involved in the ceRNA network included 3 miRNAs (hsa-mir-1295b, hsa-mir-33b, and hsa-mir-6715a), 7 lncRNAs (ENSG00000271133, ENSG00000233834, ENSG00000276791, ENSG00000241155, COL18A1-AS1, ENSG00000274737, and ENSG00000235052), and 18 mRNAs (ANO9, FUT4, MLLT3, ABCA3, FSCN2, GRID2IP, NCK2, MACC1, SLC35E4, ST14, SH2D3A, MOB3B, ACTL10, RAB36, ATP1B3, MST1R, SEMA6A, and SEL1L3). Conclusions Our study identified novel prognostic makers and predicted a previously unknown ceRNA regulatory network in CCA and may provide novel insight into a further understanding of lncRNA-mediated ceRNA regulatory mechanisms in CCA.
Model-based control of a Rijke tube combustion instability

A Rijke tube is used to demonstrate model-based control of a combustion instability, where controller design is based on measurement of the unstable system. The Rijke tube used was of length 0.75m and had a grid-stabilised laminar flame in its lower half. A microphone was used as a sensor and a loudspeaker as an actuator for active control. The open loop transfer function (OLTF) required for controller design was that from the actuator to the sensor. This was measured experimentally by sending a signal with two components to the actuator. The first was a control component from an empirically designed controller, which was used to stabilise the system, thus eliminating the non-linear limit cycle. The second was a high bandwidth signal for identification of the OLTF. This approach to measuring the OLTF is generic and can be applied to large-scale combustors. The measured OLTF showed that only the fundamental mode of the tube was unstable; this was consistent with the OLTF predicted by a mathematical model of the tube, involving 1-D linear acoustic waves and a time delay heat release model. Based on the measured OLTF, a controller to stabilise the instability was designed using Nyquist techniques. This was implemented and was seen to result in an 80dB reduction in the microphone pressure spectrum. A robustness study was performed by adding an additional length to the top of the Rijke tobe. The controller was found to achieve control up to an increase in tube length of 19%. This compared favourably with the empirical controller, which lost control for an increase in tube length of less than 3%.
Social Media Sentiment Analysis Using CNN-BiLSTM

: Sentiment analysis is application of natural language processing for understanding the opinions or views of public on various topics. This is also popularly known as opinion mining, the system collects, analyses and examines the sentiments present in the form of tweets. Our proposed model extracts the sentiment of the tweets and classifies them using CNN-BiLSTM which is a technique of deep learning and uses Word2Vec as word embedding layer. The Sentiment140 dataset is generated from Twitter API which consists 1.6 million tweets. BiLSTM cell state based on memory is used for tweets classification Sentiments are published on Social media in the form of texts for expressing social support, happiness, anger, friendship etc. Using deep learning approach, we will be classifying the tweets as positive or negative. CNN-BiLSTM is an effective technique as compared to others like SVM, Naive Bayes Classifier and CNN.
Cubic film : interdisciplinary development of digital participatory moving image medium

art evolved during the first decades of the twentieth century as a visual language of form, colour and line to create a composition that existed with a degree of independence from visual references in the world (Arnheim, 1970). The key precipitating factor for the development of abstraction in art was Cubism. The Cubists – spearheaded by Picasso and Braque – did not attempt to imitate form, but to create it; they did not seek to imitate life, but to find an equivalent for it. Cubist painters depicted real people, places and objects, but not from a fixed viewpoint. Rather, they illustrated different parts of the same subject at one time – from different angles – and reconstructed it into a composition of planes, forms and colours. Thus the Cubists reconfigured the concept of space: the front, back and sides of the subject become transposable elements in the design of the work. As Malevich argues, the Cubists sought reality rather than illusion: “The logical extreme of such a method would undoubtedly be the attempt to give up all resemblance to natural form, and to create a purely abstract language of form [. ]. Regarding Cubism the brilliant solution to our problems, the liberation from objectness, we move into space, color and time” (Cited in Gourianova, 2012). 2.1. 3 From film to digital Analogue video goes a step further than film by sampling the film frame along the vertical dimension (or scan lines). Video images exist as a series of dots traced horizontally, line by line, down the screen (Bateson, 1972). In fact, the image does not exist in a specific or determined point in time but, rather, in a state of flux because it is continuously updated (Gleick, 2011). Information stored can be in the form of either an analogue or digital signal. Through sampling and digitizing, an analogue signal can be transformed into digital information with the pixel as the smallest unit of digital media.