Miracle-dz/UniFAR-FTUs huggingface dataset:
KineReels: extension actuators for dynamic 3D shape

For the purposes of information presentation and entertainment use, several devices that can mechanically change their shapes have been proposed. "FEELEX [Iwata et al., 2001]" is a 3D shape display that consists of an array of linear actuators covered by a soft silicon surface. "Hyposurface [Goulthorpe]" is a wall-sized structure constructed out of interconnected metallic plates actuated by an array of pneumatic cylinder and generates patterns such as waves and texts. The actuators used in these conventional 3D shape displays are classified in three types: the pneumatic cylinder, the feed screw and the shape memory alloy. However, they present a problem in the fact that their range of movement is proportionally fixed to the size of the unit. For example, if we require a 1,000 mm stroke, the unit's body requires the storage space of 1,000 mm or more.
Stellar tracers of the Cygnus Arm II. A young open cluster in Camelopardalis OB3

Context. Cam OB3 is the only defined OB association believed to belong t o the Outer Galactic Arm or Cygnus Arm. Very few members have been observed and the distance modulus to the association is not well known. Aims. We attempt a more complete description of the population of Cam OB3 and a better determination of its distance modulus. Methods. We present uvby photometry of the area surrounding the O-type stars BD +56 ◦ 864 and LS I +57 ◦ 138, finding a clear sequence of early-type stars that define an uncatalogued ope n cluster, which we call Alicante 1. We also present spectroscopy of stars in this cluster and the surrounding association. Results. From the spectral types for 18 very likely members of the association and U BV photometry found in the literature, we derive individual reddenings, finding a extinction law close to sta ndard and an average distance modulus DM = 13.0± 0.4. This value is in excellent agreement with the distance modulus to the new cluster Alicante 1 found by fitting the photometric sequence to t he ZAMS. In spite of the presence of several O-type stars, Alicante 1 i s a very sparsely populated open cluster, with an almost total absence of early B-type stars. Conclusions. Our results definitely confirm Cam OB3 to be located on the Cygn us Arm and identify the first open cluster known to belong to the association.
GlobalPhone: A multilingual text & speech database in 20 languages

This paper describes the advances in the multilingual text and speech database GlobalPhone, a multilingual database of high-quality read speech with corresponding transcriptions and pronunciation dictionaries in 20 languages. GlobalPhone was designed to be uniform across languages with respect to the amount of data, speech quality, the collection scenario, the transcription and phone set conventions. With more than 400 hours of transcribed audio data from more than 2000 native speakers GlobalPhone supplies an excellent basis for research in the areas of multilingual speech recognition, rapid deployment of speech processing systems to yet unsupported languages, language identification tasks, speaker recognition in multiple languages, multilingual speech synthesis, as well as monolingual speech recognition in a large variety of languages.
Zero skew clock net routing

The authors present an algorithm, called the zero skew segment tree method (ZSTM), for the clock net routing problem. To eliminate the lock skew and minimize the total wire length, ZSTM recursively partitions the sink nodes into two subsets which have equal loadings and minimum sum of diameters, and then constructs a zero skew segment tree according to the partitioning result. The final layout of the clock net can be decided by the channel information of the routing region. Experiments showed that ZSTM improved the wire length by 15% and the maximum delay by 3% over the published results. It also completely eliminated the clock skew. <<ETX>>
Canadian practice guidelines for surgical intra-abdominal infections.

IAIs remain a major challenge in clinical practice. They are the main cause of postoperative morbidity following abdominal surgery and the most frequent cause for admission to a surgical intensive care unit (2,3). IAIs differ from infections encountered elsewhere in several respects. First, the clinical spectrum of IAI is extremely wide, ranging from uncomplicated acute appendicitis with a relatively benign course to diffuse peritonitis from perforated viscus or ischemic bowel with high morbidity and mortality. While both scenarios comprise of IAIs, they require different approaches to diagnosis and treatment. Additionally, the role of surgery in the management of patients with IAIs is pivotal and generally considered to be a decisive factor in the outcome. The clinical and microbiological diagnosis is also often problematic: IAIs are typically polymicrobial, and not every microorganism involved can be identified in the clinical microbiology laboratory by routine cultures; the pathogenicity of certain microorganisms cultured from IAIs is not considered to be the same for every patient and often relates more directly to the severity of underlying disease or comorbid conditions of the host; and the clinical signs and symptoms do not often match the severity of disease and may lead to substantial delays in appropriate diagnosis and management (3–8). Additionally, antibiotic resistance among enteric pathogens has evolved globally and at an alarming rate, while very few newer agents have emerged to replace older therapeutic regimens. The current clinical practice guideline was jointly developed by the CSS and AMMI Canada. The primary goal was to develop updated recommendations for the medical and surgical management of complicated IAIs since publication of the 2003 antimicrobial treatment guideline by the IDSA (1). Particular focus is directed at risk stratification for poor outcomes based on epidemiological studies, current status of antimicrobial susceptibility and resistance profiles among enteric pathogens, therapeutic efficacy of antimicrobial regimens based on randomized clinical trials, operative versus percutaneous approaches for source control, the role of IAH and ACS in IAIs, and infection control and preventive measures for postoperative IAIs and surgical site infections. An additional objective is to categorize the recommendations according to the strength and quality of the available evidence using a standardized grading system. Importantly, the current guideline provides recommendations for initial empirical antimicrobial management of complicated IAIs based on clinical settings and issues unique to the Canadian health care system (eg, publicly funded health care system and regionalization of health care delivery).
Teaching with cultural intelligence: developing multiculturally educated and globally engaged citizens

Globalization and the increasingly multicultural characteristic of many countries and societies have placed an acute spotlight on whether nations are able to develop citizens who are multiculturally educated and globally engaged. While the character and citizenship education literature in Asia and the Pacific often mentions intercultural understanding and global-mindedness as desirable outcomes, few models exist that translate effortlessly into citizenship curriculum or classroom pedagogy. There has also been a lack of interdisciplinary exchange between the best science and practices of intercultural competence from other disciplines and the domain of citizenship education. Cultural intelligence, a theory-based and empirically rigorous construct propounds an ideal framework for promoting intercultural competence in character and citizenship education. To that end, teachers are faced with both the chance and challenge to lead and teach with cultural intelligence. In this paper, the inexorable requirement for intercultural competence in character and citizenship education is contended. The fit between the theory and practice of cultural intelligence and citizenship education is explored and examples offered for how teachers can teach with cultural intelligence and develop culturally intelligent students who will become multiculturally educated and globally engaged citizens.
Modeling of stochastic motion of bacteria propelled spherical microbeads

This work proposes a stochastic dynamic model of bacteria propelled spherical microbeads as potential swimming microrobotic bodies. Small numbers of S. marcescens bacteria are attached with their bodies to surfaces of spherical microbeads. Average-behavior stochastic models that are normally adopted when studying such biological systems are generally not effective for cases in which a small number of agents are interacting in a complex manner, hence a stochastic model is proposed to simulate the behavior of 8-41 bacteria assembled on a curved surface. Flexibility of the flagellar hook is studied via comparing simulated and experimental results for scenarios of increasing bead size and the number of attached bacteria on a bead. Although requiring more experimental data to yield an exact, certain flagellar hook stiffness value, the examined results favor a stiffer flagella. The stochastic model is intended to be used as a design and simulation tool for future potential targeted drug delivery and disease dia.
Log-Linear Models , Extensions and Applications

This is a draft containing only sra chapter.tex and an abbreviated front matter. Please check that the formatting and small changes have been performed correctly. Please verify the affiliation. Please use this version for sending us future modifications. A log-linear model by itself is a shallow architecture given fixed, non-adaptive, human-engineered feature functions but its flexibility in using the feature functions allows the exploitation of diverse high-level features computed automatically from deep learning systems. We propose and explore a paradigm of connecting the deep leaning features as inputs to log-linear models , which, in combination with the feature hierarchy, form a powerful deep classifier. Three case studies are provided in this chapter to instantiate this paradigm. First, deep stacking networks and its kernel version are used to provide deep learning features for a static log-linear model — the softmax classifier or maximum entropy model. Second, deep-neural-network features are extracted to feed to a sequential log-linear model — the conditional random field. And third, a log-linear model is used as a stacking-based assemble learning machine to integrate a number of deep learning systems' outputs. All these three types of deep classifier have their effectiveness verified in experiments. Finally, compared with the traditional log-linear modeling approach which relies on human feature engineering, we point out one main weakness of the new framework in its lack of ability to naturally embed domain knowledge. Future directions are discussed for overcoming this weakness by integrating deep neural networks with deep generative models. 1.1 Introduction Log-linear modeling forms the basis of a class of important machine learning Background methods that have found wide applications, notably in human language technology including speech and natural language processing (Lafferty et al. In mathematical terms, a log-linear model takes the form of a function whose logarithm is a linear function of the model parameters: Ce i wifi(x) or Ce w T f (x) (1.1) where f i (x) are functions of the input data variables x, in general a vector of values, and w i are model parameters (the bias term can be absorbed by introducing an additional " feature " of f i (x) = 1). Here, C does not depend on the model parameters w i but may be a function of data x. A special form of the log-linear model of Eq.(1.1) is softmax function, which has the following form that is often used to model the …
OpenHRP: Open Architecture Humanoid Robotics Platform

This paper presents the open architecture humanoid robotics platform (OpenHRP) which consists of a simulator and motion control library of humanoid robots. The binary software developed on OpenHRP can be applied to the real counterpart as is, thank to the proposed hardware abstraction and synchronization mechanism. The compatibility between the simulation and corresponding experiment has been successfully examined. OpenHRP is expected to initiate the exploration of humanoid robotics on open architecture software and hardware.
Generic Information Transport for Wireless Sensor Networks

A primary functionality of wireless sensor networks (WSNs) is transporting the information acquired by the sensors as per the desired application requirements. The diverse applications supported by WSNs also stipulate a diverse range of reliability requirements for the transport of various information types. The continuous variation of application requirements and dynamic operational perturbations complicates the design of a generic solution for information transport in WSNs. In this paper, we present a new framework for generic information transport (GIT), which considers varied application requirements and evolvable network conditions in WSNs. GIT manages the information and utilizes a probabilistic approach to ensure tunable reliability of information transport. The GIT framework is distributed in nature and performs its operations locally. The simulation results validate the tunability of the GIT framework. In some setups GIT achieves up to 4-5 times reduction in number of transmissions compared to existing approaches.
Circulating CD 2 ! Monocytes Are Dendritic Cells 1

Low levels of CD2 have been described on subsets of monocytes, macrophages, and dendritic cells. CD2 is expressed on about one-third of circulating monocytes, at levels one-half log lower than on T or NK cells, representing 2–4% of PBMC. FACS analysis of CD2 and CD2 monocytes revealed no significant difference in the expression of adhesion molecules (CD11a/b/c), class II Ags (HLA-DR, -DQ, -DP), myeloid Ags (CD13, CD14, CD33), or costimulatory molecules (CD80, CD86). Freshly isolated CD2 and CD2 monocytes were morphologically indistinguishable by phase contrast microscopy. However, scanning electron microscopy revealed large prominent ruffles on CD2 monocytes in contrast to small knob-like projections on CD2 monocytes. After 2 days of culture, the CD2 monocytes largely lost CD14 expression and developed distinct dendrites, whereas the CD2 monocytes retained surface CD14 and remained round or oval. Freshly isolated CD2monocytes were more potent inducers of the allogeneic MLR and more efficiently induced proliferation of naive T cells in the presence of HIV-1 gp120 than did CD2 monocytes. After culture in the presence of GM/CSF and IL-4, CD2 monocytes were up to 40-fold more potent than monocyte-derived dendritic cells or CD2 monocytes at inducing allogeneic T cell proliferation. These findings suggest that circulating CD2 and CD2 monocytes are dendritic cells and the precursors of macrophages, respectively. Thus, dendritic cells are far more abundant in the blood than previously thought, and they and precursors of macrophages exist in the circulation as phenotypically, morphologically, and functionally distinct monocyte populations. The Journal of Immunology, 1999, 163: 5920–5928.
A Three-Band Substrate Integrated Waveguide Leaky-Wave Antenna Based on Composite Right/Left-Handed Structure

In this communication, the design and implementation of a three-band substrate integrated waveguide (SIW) leaky-wave antenna (LWA) based on the composite right/left-handed (CRLH) structure is presented. CRLH unit cell of the proposed antenna is composed of two adjacent interdigital slots with two vias between them. Two CRLH bands along with a new right-handed (RH) band between them are achieved through this structure. The first CRLH band (7.1-10.75 GHz) is balanced and the second one (15.1-21.75 GHz) is unbalanced with 0.25-GHz stop band. Beam scan angle in the first CRLH band is from -78° to +78°, in the second one from -40° to +20° and in the new RH band (12.6- 13.4 GHz) from +22° to +54°. Antenna radiation efficiency in the first CRLH band is about 90%. Simulated and measured results are compared and there is a good agreement between them.
Mutant of LolA, a lipoprotein-specific molecular chaperone of Escherichia coli, defective in the transfer of lipoproteins to LolB.

The outer membrane-specific lipoproteins of Escherichia coli are released from the inner membrane as a water-soluble complex with LolA and then transferred to the outer membrane receptor, LolB. LolA thus plays a critical role in the sorting and outer membrane localization of lipoproteins. To dissect the LolA function, the highly conserved residues were subjected to random mutagenesis, followed by selection for a growth defect. LolA(R43L), one of mutants thus constructed, possessed Leu in place of Arg at position 43 and caused accumulation of the LolA(R43L)-lipoprotein complex in the periplasm. LolA(R43L) was as active as wild-type LolA as to the release of lipoproteins from spheroplasts. In marked contrast, the transfer of lipoproteins from LolA(R43L) to LolB was completely inhibited, indicating that Arg at position 43 of LolA is involved in the lipoprotein transfer reaction.
A Comparison of Twin Birthweight Data From Australia, the Netherlands, the United States, Japan, and South Korea: Are Genetic and Environmental Variations in Birthweight Similar in Caucasians and East Asians?

Abstract Birthweight has implications for physical and mental health in later life. Using data from Caucasian twins collected in Australia, the Netherlands and the United States, and from East Asian twins collected in Japan and South Korea, we compared the total phenotypic, genetic and environmental variances of birthweight between Caucasians and East Asians. Model-fitting analyses yielded four major findings. First, for both males and females, the total phenotypic variances of birthweight were about 45% larger in Caucasians than in East Asians. The larger phenotypic variances were mainly attributable to a greater shared environmental variance of birth- weight in Caucasians (ranging from 62% to 67% of variance) than Asians (48% to 53%). Second, the genetic variance of birthweight was equal in Caucasians and East Asians for both males and females, explaining a maximum of 17% of variance. Third, small variations in total phenotypic variances of birthweight within Caucasians and within East Asians were mainly due to differences in nonshared environmental variances. We speculate that maternal effects (both genetic and environmental) explain the large shared environmental variance in birthweight and may account for the differences in phenotypic variance in birthweight between Caucasians and East Asians. Recent molecular findings and specific environmental factors that are subsumed by maternal effects are discussed.
Safe-Region Generation Methods for Continuous Trip Route Planning Queries

Continuous query is a monitoring query issued by a moving object to keep the query condition satisfied. In the continuous query, the safe-region method is preferable to reduce the load for several requests on the server. A safe-region is a region in which the query result is unchanged, and it is created and sent to the moving object with the query result. The moving object always checks the current position in the region. When it leaves the region, it requests a new result to the server. Safe-region generation methods have been eagerly discussed for simple query types, including kNN, distance range, and RkNN queries. This paper challenges to generate the safe-region for trip route planning queries (TRPQ). This type of query is very time consuming even for snap-shot queries, and therefore, there are many restrictions on the safe-region generation methods in existing studies. This paper first investigates the property of the safe-region on TRPQ, and then proposes two types of efficient algorithms, the preceding rival addition (PRA) and the tardy rival addition (TRA) algorithms. The former algorithm runs fast, however, it still requires long processing time when the density of the data object is high. The latter algorithm is very fast independent of the density of data objects, however, the safe-region generated by TRA becomes about 5% larger in the size of generated safe-region. We evaluate the performance through intensive experiments.
Project Discovery

This study reports on a 5-year project to improve urban, middle-level student achievement through the implementation of two initiatives. First, teachers at a participating New York City middle school engaged in weekly curriculum-planning workshops to reformulate classroom curricula into interdisciplinary, discovery-oriented activities. Second, undergraduate college students from an urban public college, representing a variety of academic disciplines, were recruited to work as classroom tutors, or “teaching scholars,” in the middle school. Gains in student achievement were demonstrated by a significant increase in the number of students meeting state standards on standardized test scores in mathematics and English. Survey responses and interviews of teachers revealed that teachers felt energized and empowered and that the school climate had improved. An unanticipated benefit was the desire of a significant number of college student “teaching scholars” to change career plans and pursue teaching as a profession, specifically in urban, high-need schools.
Lecture 18

Questions you should be able to answer by the end of today’s lecture: 1. What happens when we join p-type and n-type semiconductors? 2. What is the width of the depletion region? How does it relate to the dopant concentration? 3. What is built-in voltage? How to calculate it based on dopant concentrations? How to calculate it based on Fermi levels of semiconductors forming the junction? 4. What happens when we apply voltage to the p-n junction? What is forward and reverse bias? 5. What is the current-voltage characteristic for the p-n junction diode? Why is it different from a resistor?
Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources

Summary In this article, we describe a Bayesian approach to the calibration of a stochastic computer model of chemical kinetics. As with many applications in the biological sciences, the data available to calibrate the model come from different sources. Furthermore, these data appear to provide somewhat conflicting information about the model parameters. We describe a modeling framework that allows us to synthesize this conflicting information and arrive at a consensus inference. In particular, we show how random effects can be incorporated into the model to account for between‐individual heterogeneity that may be the source of the apparent conflict.