Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation of Force Sensor and Analysis of its Characteristics Using Panda Ring Resonator

Panda ring resonator is an highly sensitive and selective device which has many application in various field, like bio-sensing, communication etc. Here, the panda ring resonator act as a sensor for sensing change in the movements of the muscle contraction. The panda ring resonator consist of the optical add/drop filter which is connected to the two micro ring resonator, in which the right ring is the sensing unit and left ring is the reference unit. The change in the optical refractive index changes the wavelength due to the applied force, the optical path length will change, these will result in the change of wavelength (Δλ) that are obtained by the difference of the reference and sensing signals. The simulation is conducted using OPTIFDTD software.
A Longitudinal Study of Dental Caries in the Primary Teeth of Children who Suffered from Infant Malnutrition

A prospective, four-year longitudinal study of 209 Peruvian children was conducted to evaluate the effect of a single malnutrition episode occurring at infancy (i.e., < 1 year of age) on dental caries in the primary teeth. Children were recruited into the study at age 6-11 months after they had suffered from a malnutrition episode and were thus classified by anthropometry as either: (1) Normal ; (2) Wasted (low weight for height); (3) Stunted (low height for age); or (4) Stunted and Wasted (S and W). Eruption of the primary teeth was significantly delayed in all malnourished children; however, the effect of stunting-that is, retarded linear growth-was more pronounced and lasted longer than that of wasting or acute malnutrition (i.e., 2.5 us. 1.5 years, respectively). By age 4 years, children from group 4 (S and W) showed a significantly higher caries experience in the primary teeth than did those in any of the other three groups. In summary, this longitudinal study has confirmed previous studies in animals and indirect epidemiological evidence which had suggested a cause-effect relationship between early malnutrition and increased dental caries.
Biological , Toxicological Potency and Field Persistence of New Insecticides against Spodoptera littoralis ( Boisduval )

Conventional insecticides exhibited negative effects on environment components and natural enemies. The tested noval insecticides, viz pyridalyl, emamectin-benzoate and indoxacarb compared to chlorfluazuron were evaluated against 2 and 4 larval instar of Spodoptera littoralis (Boisd.) laboratory strain and their latent effects on some biological aspects were studied. Also, field persistence residues of these tested compounds against field strain of this pest were estimated via determination of Lt50 values. On basis of LC50 values, emamectin benzoate was the most effective compound, followed by indoxacarb and chlorfluazuron, while pyridelyl was the least toxic one, where the LC50 values were 0.539, 5.218, 29.83 and 39.32 mg a.i./L after 48 h, while the LC50 values were 0.278, 2.732, 7.198 and 27.3 mg a.i./L after 72 h from exposure, respectively against 4 larval instar of S. littoralis. From these results, the toxicity of the tested compounds increased with the increasing in the exposure time and decreased by increasing the larval instars. The latent effects of the tested compounds according to sublethal concentrations against 4 instar larvae of laboratory strain were significantly decreased in pupal duration, pupal weight, percentage of normal pupae, adult emergence, fecundity, fertility and adult longevity compared to the control, while these compounds increased significantly larval duration and malformed pupae. Based on the semi-field application, pyridalyl and emamectinbenzoate proved to be the most effective in initial and residual activity causing 100 and 54% mortality for pyridalyl and 100 and 42.13% for emamectin-benzoate, respectively, while indoxacarb was the least effective. Also, pyridalyl show significant, superior persistence residual activity against 4 larval instar of the field strain with Lt50 valued 7.74 days, emamectin-benzoate and chlorfluazuron come in second order, with Lt50 5.59 and 5.56 days, respectively, indoxacarb showed the shortest (1.4 days). From the results, pyridalyl and emamectin-benzoate could be used into Integrated Pest Management against Spodoptera littoralis under field conditions.
Geometrical and Temporal Calibration of Multiple Cameras by Using LED Markers for Image Synthesis

In this paper, we propose a method to achieve position and pose of multiple cameras and temporal synchronization among them by using LED markers. In the proposed method, each IR marker transmits its own ID as a signal pattern. We can estimate camera positions and poses by using the 3D positions of multiple markers. In addition, these markers also transmit common synchronization signals and can be used in temporal synchronization among cameras. We confirmed through experiments the feasibility of marker detection and tracking by using normal CCD cameras, recognition of IDs, and synchronization information.
A Real World Role-Playing Game as an Application of the Guide System in a Museum

Our research group is studying the educational applications of virtual reality and mobile computing technology. In this paper, we describe system and our development in the mobile computing field where children can learn about an exhibition interacting all over an exhibition site just as though they were playing a game. We developed a mobile device, portable enough to carry during application, and a positioning system which can track paths walk by visitors. We are also working on the system contents. The developed system has been used this summer as a next-generation museum guide at National Science Museum in Japan, where more than 15,000 children have experienced this system.
UvA-DARE ( Digital Academic Repository ) Causal patterns for justifying historical explanation . Causation in P . C . Hooft ' s Dutch History ( 1642 )

The practice of justifying historical explanations generates causal patterns in which several types of arguments play a role. This paper is aimed at identifying some of such causal patterns on the basis of an exploration of the institutional conventions regarding the nature and the shape of historical explanations as reflected in the Dutch History (1642) by Pieter Hooft. Causal patterns can unveil bias, prejudice and strategic aims, as well explain why a text may be (or has been) interpreted in a specific way.
Gaussian and Exponential GARCH models

The GARCH(p,q) model is a very interesting stochastic process with widespread applications and a central role in empirical finance. The Markovian GARCH(1,1) model has only 3 control parameters and a much discussed question is how to estimate them when a series of some financial asset is given. The variance, the kurtosis and the autocorrelation time are the quantities actually used to determine them. Instead of the autocorrelation time, we propose here to use the standardized 6-th moment. A rapidly convergent series expansion can be established for it. The set of parameters obtained in this way produces a better probability density function and a much better time autocorrelation function. This is true regardless if the conditional probability density function in the GARCH process is Gaussian or Exponential. The probability of return to the origin is investigated at different time horizons for both Gaussian and Exponential GARCH models. In spite of the fact that these models show almost identical performances with respect to the final probability density function and to the time autocorrelation function, their scaling properties are, however, very different. The scaling exponent obtained by the Exponential GARCH model is very close to that of the real world.
Partition of distinct chromosomal regions: negotiable border and fixed border

Chromosomes are partitioned into distinct functional regions. For example, heterochromatin regions consist of condensed chromatin and contain few transcriptionally active genes, whereas euchromatin regions are less condensed and majority of active genes reside in the euchromatin regions. Because distinct regions reside in each chromosome, borders are accordingly established between these regions. A prevailing view of the borders is that they are ‘walls’ that actively inhibit communication between distinct regions on chromosomes. Although little is known about the molecular bases of these walls, specific DNA elements are considered to recruit these walls to define the positions of the borders. We call the borders established with this mechanism as ‘fixed borders’. Past studies have identified various insulators (boundary DNA elements) that have been suggested to recruit fixed borders to them. Another mechanism, which we introduce and focus on in this review, does not require walls recruited by specific DNA elements at the chromosomal borders. Instead, the borders are defined by a balance of opposing enzymatic activities located at the opposite sides of the resultant borders. We name these borders ‘negotiable borders’. Here we review some of the recent progress in the field that offer valuable insight into mechanisms of establishing structural and functional borders on chromosomes.
2 Optimization Setting and Some Preliminaries 2 . 1 Optimization Setting

We consider the extragradient method to minimize the sum of two functions, the first one being smooth and the second being convex. Under the KurdykaLojasiewicz assumption, we prove that the sequence produced by the extragradient method converges to a critical point of the problem and has finite length. The analysis is extended to the case when both functions are convex. We provide, in this case, a sublinear convergence rate, as for gradient-based methods. Furthermore, we show that the recent small-prox complexity result can be applied to this method. Considering the extragradient method is an occasion to describe an exact line search scheme for proximal decomposition methods. We provide details for the implementation of this scheme for the one norm regularized least squares problem and demonstrate numerical results which suggest that combining nonaccelerated methods with exact line search can be a competitive choice.
An MPI-IO Interface to HPSS

This paper describes an implementation of the proposed MPI-IO standard for parallel I/O. Our system uses third-party transfer to move data over an external network between the processors where it is used and the I/O devices where it resides. Data travels directly from source to destination, without the need for shuffling it among processors or funneling it through a central node. Our distributed server model lets multiple compute nodes share the burden of coordinating data transfers. The system is built on the High Performance Storage System (HPSS), and a prototype version runs on a Meiko CS-2 parallel computer.
Customer experiences and expectations of sit-down restaurants : An auto-ethnographic perspective on restaurant failure

It is noticeable that many restaurants in South Africa fail to keep their doors open – and this most often applies to non-franchised eateries. Small business entities may be deficient in market research, which could result in a mismatch between what is offered by them and what customers expect. The aim of this study was to analyse and present customer experiences and expectations of eateries in order to offer present and aspiring restaurateurs guidance on what may be required of them to succeed by retaining customers. An auto-ethnographic approach was followed, where customers (the participants) were required to document their experiences of eateries, focusing on what made them attractive and what they found repellent. Following the collection of the documents, the scripts were pooled and compared – to identify common themes, but also to identify idiosyncratic preferences. It was found that the food and drink offering played an important role in customer satisfaction, but that factors not directly related to the offering had a substantial impact on customers’ willingness to return. A list of these factors is provided. The food selection and drink offering of a restaurant are important. However, it is insufficient to retain customers. This paper provides present and aspiring restaurateurs several propositions on what may be required to enhance customer satisfaction. This is presented in the auto-ethnographic style – which allows for easy access by non-academics. Most of the suggested interventions don’t require a substantial financial input, and would thus be easy to implement and advance the sustainability of restaurant owners’ businesses.
FUEL CRACKING IN RELATION TO FUEL OXIDATION IN SUPPORT OF AN OUT-REACTOR INSTRUMENTED DEFECTED FUEL EXPERIMENT

An experimental program funded by the CANDU Owners Group (COG) is studying an out-reactor instrumented defected fuel experiment in Stern Laboratories (Hamilton, Ontario) with guidance from Atomic Energy of Canada Limited (AECL). The objective of this test is to provide experimental data for validation of a mechanistic fuel oxidation model. In this experiment a defected fuel element with UO2 pellets will be internally heated with an electrical heater element, causing the fuel to crack. By defecting the sheath in-situ the fuel will be exposed to light water coolant near normal reactor operating conditions (pressure 10 MPa and temperature 265-310°C) causing fuel oxidation, especially near the hotter regions of the fuel in the cracks. The fuel thermal conductivity will change, resulting in a change in the temperature distribution of the fuel element. This paper provides 2D r-θ plane strain solid mechanics models to simulate fuel thermal expansion, where conditions for fuel crack propagation are investigated with the thermal J integral to predict fuel crack stress intensity factors. Finally since fuel crack geometry can affect fuel oxidation this paper shows that the solid mechanics model with pre-set radial cracks can be coupled to a 2D r-θ fuel oxidation model.
Evaluating caffeine antioxidant properties on Ghezel ram sperm quality after freeze-thawing

Semen cryopreservation is a unique technique for preserving genetic diversity, especially endangered species [10]. Though, oxidative stress and cold shock along with increasing cAMP permeability cause an impairment in post-thaw spermatozoa motility and lifespan [49, 10]. High concentration of poly unsaturated fatty acids in ram sperm membranes and limited enzymatic antioxidant defense system [such as: glutathione peroxidase (GPx), superoxide dismutase (SOD), and catalase] make them more susceptible to oxidative stress damages induced by reactive oxygen species (ROS) especially during freezethawing [8]. Accordingly, a pile of researches focused on counteracting the revese effects of ROS on sperm fertility using different types of antioxidants [5, 6].
First Complete Coding Sequence of a Spanish Isolate of Swine Vesicular Disease Virus

ABSTRACT Swine vesicular disease virus (SVDV) is a porcine pathogen and a member of the Enterovirus genus within the Picornaviridae family. The SVDV genome is composed of a single-stranded RNA molecule of positive polarity. Here, we report the first complete sequence of the coding region of a Spanish SVDV isolate (SPA/1/'93).
TREVOR HASTIE, ROBERT TIBSHIRANI, AND MARTIN WAINWRIGHT. Statistical Learning with Sparsity: The Lasso and Generalizations. Boca Raton: CRC Press

Regularization has played a major role in statistics ever since the new era of data generation has reached its foothold. During this period analyzed data sets started having many more features than observations, which made standard statistical methods inconvenient. Perhaps the most widely used and well-known regularization method today is the “Least Absolute Selection and Shrinkage Operator,” better known simply as the Lasso. This method was originally introduced by Robert Tibshirani in 1996 and further popularized as part of the highly accessed book “The Elements of Statistical Learning” in 2001, written by some of the same authors as the book described here. It is therefore needless to say that the authors of “Statistical Learning with Sparsity” comprise valued experts on this topic. With their most recent book, the authors aim to provide a broad overview on classical concepts of regularization in statistics as well as the newest trends in this direction. In our opinion, the book succeeds in providing a comprehensive guideline on this topic that is well-suited for teachers as well as students, more precise reasons will be given at the end of the review. The book starts off with a general introduction to the field that describes the idea behind sparsity in modeling. The concepts are demonstrated nicely with two real-world examples that illustrate the results from applying a regularized model. The first chapter of a book is important as it often decides whether one continues interest in the book, or drops it and shops for something else. In this case, the attention of the reader is immediately captured, and even enhanced, by the well-chosen examples. The book then goes on to introduce regularization in generalized linear models in the following two chapters, where standard classical works are reviewed. What immediately jumps to attention is the completeness of discussion of single topics. Equations are not only provided and discussed, they are complemented by examples that
Social media buzz created by # nanotechnology :

The word “nanotechnology” has been exaggerated not only by media but also by scientist groups who have overstated the unforeseen benefits of nanotechnology to validate research funding. Even ecologists, who normally remain indulged in doom-and-gloom divinations, use this word to fuel their own motives. Such outcomes lead to widespread misinformation and an unaware public. This research work is a staunch effort to filter the Twitter-based public opinions related to this word. Our results clearly indicate more of positive sentiments attached to the subject of nanotechnology, as trust, anticipation and joy overweigh by many folds the anger, mistrust and anger related to nanotechnology.
Generation Of Training Data For 3 D Point Cloud Classification

Unstructured 3D point clouds are common (intermediate) results of surveys. They are the basis for modeling complex objects or geometric comparisons. For these complex analysis steps, a segmentation and/or classification of the original point cloud is necessary to process single objects or object parts of the scan. This segmentation and classification is nowadays more complex than data acquisition (approx. factor 1:8). In order to efficiently process mass data from laser scans, (partial) automation is necessary. Convolutional neural networks (CNN) are one method for efficient classification. To use CNN, a large amount of classified point clouds are necessary to train the parameters of the network. With a well-trained network reliable an unclassified point can reliable assigned to a certain class.
One-Class Classification for Finding Interesting Resources in Social Bookmarking Systems

Social tagging systems have grown in popularity on the Web in the last years on account of their simplicity to categorize and retrieve shared content using open-ended tags. In sites such as Del.icio. us, Flickr or CiteULike, users annotate a variety of resources (Web pages, blog posts or pictures) using a freely chosen set of keywords rather than pre-defined categories. The rapid increase in size of communities using social sites as well as the large amount of shared content available make the discovery of relevant resources a time consuming and difficult task for users. To alleviate this problem, the content as well as social tags associated to the resources annotated by a user can be used to build a user interest profile that, in turn, can be applied to filter further incoming information from tagging systems (e.g. RSS feeds). In social tagging systems resources receive tag assignments by members of the community, describing their content in a collective sense. Thus, it can be assumed that users are likely to be interested in additional content annotated with similar tags to the ones assigned to resources they showed interest in before. In this work we evaluate two one-class classification algorithms as a means to identify interesting resources for users. Tag-based classifiers are learned using the Web resources users annotate and have in their personomies as positive examples of their interests. This is a special case of classification in which it is necessary to determine whether an example (resource) belongs to a target class (interesting) when only examples of the target class are given, which is known as one-class classification.
Ultrasonic flow measurements and bubble detection in gas-stirred metallic melts

In this study we investigate the flow structure in a liquid metal cylinder while a bubble-driven recirculation flow is superposed with a rotating magnetic field (RMF). The flow structure and the bubble positions were measured by means of the ultrasound Doppler velocimetry (UDV) and the ultrasound transit-time technique (UTTT), respectively. The measurements revealed the potential of the RMF to control both the amplitude of the meridional flow and the bubble distribution and to provide an effective mixing in the entire fluid volume. Various periodic flow patterns were observed in a certain parameter range with respect to variations of the magnetic field strength and the gas flow rate.
A BiCMOS dynamic multiplier using Wallace tree reduction architecture and 1.5 V full-swing BiCMOS dynamic logic circuit

This paper presents a BiCMOS dynamic multiplier, which is free from race and charge sharing problems, using Wallace tree reduction architecture and 1.5 V full-swing BiCMOS dynamic logic circuit. Based on a 1 /spl mu/m BICMOS technology, a 1.5 V 8/spl times/8 multiplier designed, shows a 2.3/spl times/ improvement in speed as compared to the CMOS static one. <<ETX>>
Environmental scanning implications in the governance of complex systems

Complex systems are comprised of subsystems that operate together for a common goal that is not achievable by each subsystem. Governance of complex systems is defined as design, execution, and evolution of the metasystem functions necessary to provide control, communication, coordination, and integration of a complex system. A key governance evolution function is the ability to scan the environment for information that guides the system’s operations for goal achieving in the future. While experiencing a significant increase in environmental complexity, the governance function must be capable of increasing its ability to achieve a future state. This paper provides a perspective, grounded in systems theory principles, on the environmental scanning function. This perspective suggests an approach to improving complex system viability.