Miracle-dz/UniFAR-FTUs huggingface dataset:
RF Circuit Linearity Optimization Using a General Weak Nonlinearity Model

This paper focuses on optimizing the linearity in known RF circuits, by exploring the circuit design space that is usually available in today's deep submicron CMOS technologies. Instead of using brute force numerical optimizers we apply a generalized weak nonlinearity model that only involves AC transfer functions to derive simple equations for obtaining design insights. The generalized weak nonlinearity model is applied to three known RF circuits: a cascode common source amplifier, a common gate LNA and a CMOS attenuator. It is shown that in deep submicron CMOS technologies the cascode transistor in both the common source amplifier and in the common gate amplifier significantly contributes IM3 distortion. Some design insights are presented for reducing the cascode transistor related distortion, among which moderate inversion biasing that improves IIP3 by 10 dB up to 5 GHz in a 90 nm CMOS process. For the attenuator, a wideband IM3 cancellation technique is introduced and demonstrated using simulations.
A STUDY FOR BER PERFORMANCE IN OFDM SYSTEMS USING STBC/SFBC BASED ON DETECTION TECHNIQUES

In this paper, orthogonal space frequency detection or space time detection schemes expressed for OFDM systems in broadband wireless channels. This paper proposes a compensation method to prevent error floor caused by unequal sub channels in the space-Time block coded OFDM systems for 1 and 2 transreceiver antennas in different parameters while providing diversity gain. This paper will show the BER performance for various combinational antennas, cases like JML, ZF, SML, DF etc. The proposed compensation method gives the zero forcing solutions for 1×1 and 2×2 transmitter receiver antennas. Proposed paper and techniques compare the method with the space time block coded OFDM systems with respect to broadband wireless channel specifications in form of BER calcutions. It also shows the channel compensation method with sub division of wave forms that can be performed during the channel estimation using a Kalman filter.
Using coreference and surrounding contexts for entity linking

Ambiguity in meanings of words or phrases in a document is considered one of the most primary barriers in natural language processing. In this work, we address the task of identifying and linking mentions of entities into correct referents described in a given knowledge base. To deal with it, we propose a supervised learning method for ranking candidate entities in combination with exploiting a heuristic and coreference relations among mentions in a document. Furthermore, another advantage of our method is its simplicity and effectiveness with using much fewer features than other systems. The results from evaluation on TAC-KBP 2012 datasets show that our combination is efficient and this method has a comparable performance to the state-of-the-art ones.
How Do Engineering Scientists Think? Model-Based Simulation in Biomedical Engineering Research Laboratories

Designing, building, and experimenting with physical simulation models are central problem-solving practices in the engineering sciences. Model-based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher-artifact system. It draws on and further develops the framework of "distributed cognition" to interpret data collected in ethnographic and cognitive-historical studies of two biomedical engineering research laboratories, and articulates the notion of distributed model-based cognition to answer the question posed in the title.
µLeech: A Side-Channel Evaluation Platform for Next Generation Trusted Embedded Systems

We propose a new embedded trusted platform module for next generation power scavenging devices. Such power scavenging devices are already in the current market. For instance, the Square point-of-sale reader uses the microphone/speaker interface of a smartphone for both communications and to charge up the power supply. While such devices are already widely deployed in the market and used as trusted devices in security critical applications they have not been properly evaluated yet. Our trusted module is a dedicated microprocessor that can preform cryptographic operations and store cryptographic keys internally. This power scavenging trusted module will provide a secure cryptographic platform for any smartphone. The second iteration of our device will be a side-channel evaluation platform for power scavenging devices. This evaluation platform will focus on evaluating leakage characteristics, it will include all the features of our trusted module, i.e. complicated power handling including scavenging from the smartphone and communications through the microphone/speaker interface. Our design will also included the on-board ports to facilitate easy acquisition of high quality power signals for further side-channel analysis. Our evaluation platform will provide the ability for security researchers to analyze leakage in next generation mobile attached embedded devices and to develop and enroll countermeasures.
(2R*,3R*,4aS*,6aR*,11aS*,11bS*)-Methyl 2-acetoxy-11b-hydroxy-3,7-dimethyl-1,2,3,4,4a,5,6,6a,7,11,11a,11b-dodecahydrophenanthro[3,2-b]furan-3-carboxylate

In the title compound, C22H30O6, the conformation of the molecule is dictated by an intramolecular C—H⋯O contact. The crystal structure is stabilized via intermolecular C—H⋯O, O—H⋯O and C—H⋯π contacts.
Coordinated contouring controller design for an industrial biaxial linear motor driven gantry

To improve overall contouring performance, it is no longer possible to neglect dynamic coupling phenomena that occur during contouring operations, especially for linear motor driven systems which often move at high speeds. This paper studies the high performance contouring control of a linear motors driven high-speed/acceleration industrial biaxial gantry. The gantry dynamics is first transformed into a task coordinate frame. A discontinuous projection based adaptive robust controller (ARC) which explicitly takes into account the dynamic coupling effect is then constructed to improve the contouring performance under both parametric uncertainties and uncertain nonlinearities. To reduce the effect of measurement noise, a desired compensation ARC (DCARC) scheme is also presented, in which the adaptive model compensation part depends on the desired contour and parameter estimates only. Comparative experimental results of the proposed algorithms along with a well tuned PID controller are obtained on a high-speed industrial biaxial gantry driven by linear motors. The results verify that both the proposed schemes outperform the PID controller and can achieve good contouring performance even in the presence of parametric uncertainties and uncertain disturbances, and the desired compensation ARC achieves the best contouring performance.
Phonology 17 (2000) 137 142. Printed in the United Kingdom

This delightful book is a descriptive presentation of all aspects of Armenian word phonology. * Although the author assumes a particular theoretical stance, this does not in any way detract from the descriptive value of the book (more on this point below, where it is suggested that the strong theoretical commitment of the author in fact adds to the book’s strength, even for a reader who does not subscribe to the same theoretical view as the author). The book is part of the series on the phonology of the world’s languages edited by Jacques Durand, and it closely follows the format of the other books so far published in the series. It starts with a concise but thorough and interesting chapter on the history, dialectology and basic descriptive facts of Armenian phonology. The second chapter introduces Rules and Representations Theory, which Vaux uses in his detailed theoretical accounts of phonological phenomena in subsequent chapters. Probably aware that most potential readers of the book (whether they are primarily interested in Armenian or in phonological theory) are unlikely to share his theoretical views, Vaux is careful to explicitly state all steps of theoretical reasoning in his analyses throughout the book. As a result, I have found later chapters on specific phonological phenomena perfectly readable without referring back to the second chapter. Chapter 3, by far the longest and most detailed chapter in the book, provides an extensive discussion of syllabification in Armenian. Chapter 4 discusses stress and metrical structure within words. Chapter 5 is on vowel harmony. Chapters 6 and 7 present consonant–vowel interactions and consonant alternations involving laryngeal features. Finally, Chapter 8 presents a brief collection of processes involving prosodic morphology, such as reduplication and hypocoristics. One of the first features of the book that strikes the reader is Vaux’s admirable attention to detail. For example, Vaux argues that certain schwaC zero alternations are best viewed as schwa insertion rather than schwa deletion. Kornfilt (1997) faces a similar choice in her Turkish grammar, and simply asserts that the process is one of deletion. Vaux takes a very different approach. Rather than simply stating his own preference for an insertion process, he presents a large number of arguments for his position, any single one of which would have been perfectly convincing. The arguments range from the relatively obvious (e.g. the predictability of the presence and location of schwas) to the
Stochastic channel access for underwater acoustic networks with spatial and temporal interference uncertainty

Designing medium access control protocols for underwater acoustic sensor networks (UW-ASNs) is a major challenge because of the spatial and temporal interference uncertainty caused by asynchronous transmissions and by the low propagation speed of sound, respectively. To deal with this uncertainty, this paper proposes a queue-aware distributed access scheme, in which each transmitter optimizes a transmission probability profile based on which it decides whether to transmit or to enqueue its packets over a series of time slots based on a statistical characterization of interference obtained through its past observations. To model the effect of unaligned interference, we propose a so-called L-measurement method, where interference is measured at multiple instants of time in each time slot to capture the effects of temporal uncertainty. We present a mathematical formulation of the problem of dynamic transmission strategy optimization and propose an iterative distributed solution algorithm designed based on a best-response strategy. At each iteration, each node individually solves a nonconvex optimization problem of logarithmic complexity with the number of time slots jointly considered. The performance of the proposed distributed solution algorithm is evaluated by comparing it to two alternative distributed schemes and to the global optimum obtained through a newly-developed centralized globally optimal solution algorithm. Results indicate that considerable improvement in terms of sum-throughput can be achieved by the proposed distributed algorithm by jointly taking the queueing and multi-slot optimization into consideration.
Protecting Data against Consecutive Disk Failures in RAID-5

In this letter we present a reorganization method to protect against data loss when one or two disks fail in a RAID level 5. The main advantage of the proposed method is that it is robust against a second failure if a first failed disk has not been replaced yet. Our proposal is motivated by the fact that new disks have a high possibility to fail during their first year of operation and during this period there is enough free space to rebuild the lost data in the failed disk and store it by a reorganization in the remaining disks.
Synaesthesia: The existing state of affairs

In synaesthesia one type of stimulation evokes the sensation of another, such as when hearing a sound produces photisms—that is, mental percepts of colours. In the past, the idiosyncrasy of this phenomenon, as well as the natural mistrust of scientists towards the subjective, consigned synaesthesia to the periphery of scientific interest. However, the landscape has changed radically in the last two decades. The labour of many researchers, inside as well as outside of cognitive neuroscience, has transformed synaesthesia into a scientific reality whose existence can be demonstrated and studied empirically. The present paper summarizes and reflects on our current knowledge concerning synaesthesia in all its aspects (cognition, behaviour, neurology, genetics, and demographics).
Integration of Ranked Lists via Cross Entropy Monte Carlo with Applications to mRNA and microRNA Studies

Summary One of the major challenges facing researchers studying complex biological systems is integration of data from ‐omics platforms. Omic‐scale data include DNA variations, transcriptom profiles, and RAomics. Selection of an appropriate approach for a data‐integration task is problem dependent, primarily dictated by the information contained in the data. In situations where modeling of multiple raw datasets jointly might be extremely challenging due to their vast differences, rankings from each dataset would provide a commonality based on which results could be integrated. Aggregation of microRNA targets predicted from different computational algorithms is such a problem. Integration of results from multiple mRNA studies based on different platforms is another example that will be discussed. Formulating the problem of integrating ranked lists as minimizing an objective criterion, we explore the usage of a cross entropy Monte Carlo method for solving such a combinatorial problem. Instead of placing a discrete uniform distribution on all the potential solutions, an iterative importance sampling technique is utilized “to slowly tighten the net” to place most distributional mass on the optimal solution and its neighbors. Extensive simulation studies were performed to assess the performance of the method. With satisfactory simulation results, the method was applied to the microRNA and mRNA problems to illustrate its utility.
Seizures and encephalitis: Clinical features, management, and potential pathophysiologic mechanisms

Encephalitis is an inflammation and swelling of the brain, which is often caused by a viral infection; it is an important cause of acute symptomatic seizures as well as subsequent epilepsy. Herein we describe the definition, epidemiology, and etiology of encephalitis as a cause of seizures. We then focus on encephalitis due to herpes simplex virus (the most common sporadic viral cause of encephalitis) and Japanese encephalitis virus (the most common epidemic viral cause). We also discuss the evidence for seizures occurring in the context of antibody‐associated encephalitis, an increasingly important condition. Finally, we describe the acute and longer‐term management of encephalitis‐related seizures and their potential pathophysiologic mechanisms, concluding with the emerging etiologic role of human herpesvirus 6.
Analysis of trace metals and perfluorinated compounds in 43 representative tea products from South China.

UNLABELLED Six trace metals (Cd, Pb, Cr, Cu, Zn, and Mn) and 2 perfluorinated compounds (PFCs), perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), were analyzed in 43 representative tea products (including 18 green, 12 Oolong, and 13 black teas) from 7 main tea production provinces in China, using the atomic absorption spectrophotometer for trace metals analysis and HPLC-MS/MS for PFOS and PFOA analysis. The average contents of the 3 essential metals Mn, Cu, and Zn ions in the tea samples were 629.74, 17.75, and 37.38 mg/kg, whereas 3 toxic metals Cd, Cr, and Pb were 0.65, 1.02, and 1.92 mg/kg, respectively. The contents of heavy metals in the 3 types of tea were in the order of black tea > Oolong tea > green tea. Both PFOS and PFOA contents were low and PFOA content was higher than PFOS in the tea samples. The highest concentration of PFOA was 0.25 ng/g dry weight found in a Hunan green tea. The Principal component analysis was performed with the trace metals and PFCs to analyze the relationships of these indices. The results showed that black teas had higher trace metals and PFCs than green and Oolong teas, and the teas from Hunan and Zhejiang provinces had higher Pb and Cr than others. PRACTICAL APPLICATION This paper reports trace metals, and perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) in wide range of tea products produced in the south China area. This paper also warns the low PFOS and PFOA pollution in tea.
Learning equilibria with partial information in decentralized wireless networks

In this article, a survey of several important equilibrium concepts for decentralized networks is presented. The term decentralized is used here to refer to scenarios where decisions (e.g., choosing a power allocation policy) are taken autonomously by devices interacting with each other (e.g., through mutual interference). The iterative long-term interaction is characterized by stable points of the wireless network called equilibria. The interest in these equilibria stems from the relevance of network stability and the fact that they can be achieved by letting radio devices to repeatedly interact over time. To achieve these equilibria, several learning techniques - the best response dynamics, fictitious play, smoothed fictitious play, reinforcement learning algorithms, and regret matching - are discussed in terms of information requirements and convergence properties. Most of the notions introduced here, for both equilibria and learning schemes, are illustrated by a simple case study, an interference channel with two transmitter-receiver pairs.
Fast food restaurants and food stores: longitudinal associations with diet in young to middle-aged adults: the CARDIA study.

BACKGROUND A growing body of cross-sectional, small-sample research has led to policy strategies to reduce food deserts--neighborhoods with little or no access to healthy foods--by limiting fast food restaurants and small food stores and increasing access to supermarkets in low-income neighborhoods. METHODS We used 15 years of longitudinal data from the Coronary Artery Risk Development in Young Adults (CARDIA) study, a cohort of US young adults (aged 18-30 years at baseline) (n = 5115), with linked time-varying geographic information system-derived food resource measures. Using repeated measures from 4 examination periods (n = 15,854 person-examination observations) and conditional regression (conditioned on the individual), we modeled fast food consumption, diet quality, and adherence to fruit and vegetable recommendations as a function of fast food chain, supermarket, or grocery store availability (counts per population) within less than 1.00 km, 1.00 to 2.99 km, 3.00 to 4.99 km, and 5.00 to 8.05 km of respondents' homes. Models were sex stratified, controlled for individual sociodemographic characteristics and neighborhood poverty, and tested for interaction by individual-level income. RESULTS Fast food consumption was related to fast food availability among low-income respondents, particularly within 1.00 to 2.99 km of home among men (coefficient, 0.34; 95% confidence interval, 0.16-0.51). Greater supermarket availability was generally unrelated to diet quality and fruit and vegetable intake, and relationships between grocery store availability and diet outcomes were mixed. CONCLUSION Our findings provide some evidence for zoning restrictions on fast food restaurants within 3 km of low-income residents but suggest that increased access to food stores may require complementary or alternative strategies to promote dietary behavior change.
Method for manufacturing cyclic carbonate

Classical rate, and it is possible to produce a cyclic carbonate and efficiently in a high yield, but also the time deterioration of the catalyst is suppressed, and process for producing a cyclic carbonate by the catalytic activity is not reduced well, the reaction of epoxides with carbon dioxide to provide. The fourth class selected on-no quaternary ammonium salt and a halide in the quaternary phosphonium salt as a counter ion, onium salt, or class onium the fourth to the whole no halide as a counter ion is immobilized to a carrier under the solid catalyst, a method for producing a cyclic carbonate of reacting an epoxide with carbon dioxide, the production method further comprising a step of adding at least one organic halide containing a halogen atom in the molecule to the reaction system.
Accident risk management strategy at un-signalized intersection

The increasing of traffic sign and/or light violations is a commonly views in many countries. Even it was occurred intentionally which indicates that drivers accept its possible consequences. The constant fatality index of motorcyclist strongly indicates that determinant variables behind their risky behaviour and/or accident involvement should be further investigated and managed systematically. Accordingly, this paper focuses on motorcyclist accident risk management, particularly at un-signalized segment, by combining the aggregated-individual and expert expectancy approaches. Therefore a questionnaire and braking manoeuver test were undertaken at closed circuit course. The result shows that speeding behaviour was caused by trip purpose and triggered by perception about their braking and hazard detection abilities. In addition, only 24 % of 56 % of riders who believed that their braking capability was above average could apply high braking capability so that most riders might involve in crash due to the average critical crossing gap choice at the monitored intersection. This explains that their speed choice should be deal with their braking capability. However, the overlay policy at the monitored intersection indicates that the unbalanced between mobility and safety still to be a latent issue, which virtually could be bridged by using a standardized braking capability.
FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model

Accumulating experimental studies have indicated the influence of lncRNAs on various critical biological processes as well as disease development and progression. Calculating lncRNA functional similarity is of high value in inferring lncRNA functions and identifying potential lncRNA-disease associations. However, little effort has been attempt to measure the functional similarity among lncRNAs on a large scale. In this study, we developed a Fuzzy Measure-based LNCRNA functional SIMilarity calculation model (FMLNCSIM) based on the assumption that functionally similar lncRNAs tend to be associated with similar diseases. The performance improvement of FMLNCSIM mainly comes from the combination of information content and the concept of fuzzy measure, which was applied to the directed acyclic graphs of disease MeSH descriptors. To evaluate the effectiveness of FMLNCSIM, we further combined it with the previously proposed model of Laplacian Regularized Least Squares for lncRNA-Disease Association (LRLSLDA). As a result, the integrated model, LRLSLDA-FMLNCSIM, achieve good performance in the frameworks of global LOOCV (AUCs of 0.8266 and 0.9338 based on LncRNADisease and MNDR database) and 5-fold cross validation (average AUCs of 0.7979 and 0.9237 based on LncRNADisease and MNDR database), which significantly improve the performance of previous classical models. It is anticipated that FMLNCSIM could be used for searching functionally similar lncRNAs and inferring lncRNA functions in the future researches.