Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemical composition, toxicity and physiological effects of essential oil of Rosemarinus officinalis on lesser mulberry pyralid, Glyphodes pyloalis Walker (Lepidoptera: Pyralidae)

Mulberry pyralid, Glyphodes pyloalis Walker is an important pest on mulberry. The essential oil of Rosemary Rosemarinus officinalis L. (Lamiales: Lamiaceae) has been investigated on toxicity and physiological characteristics of this moth under controlled conditions. The major compounds of the oil were analyzed as 1, 8 Cineol (20.021%), Borneol (7.17%), Camphor (6.541%), Geraniol (6.281%), Camphene (5.623%), Linalool (4.993%) Alpha fenchyl acetate (4.222%) and Verbenone (4.147%). Lethal and sublethal concentrations (LC10, LC30 and LC50) were estimated 0.77%, 1.18% and 1.59% (v/v) respectively. The essential oil affected the nutritional indices of fourth instar larvae of G. pyloalis. efficiency of conversion of ingested food (ECI), efficiency of conversion of digested food (ECD), relative consumption rate (RCR) and relative growth rate (RGR) were reduced in larvae treated with R. officinalis essential oil while approximate digestibility (AD) in treated larvae was significantly increased compared with the control. The essential oil affected the insect's some key metabolic compounds like; lipid, protein and carbohydrates. Similarly this effect was also significant in the activities of certain key enzymes like; alpha- amylase, lipase, protease, glutathione-s-transferase and esterases.
Co-evolving an effective fitness sample: experiments in symbolic regression and distributed robot control

We investigate two techniques for co-evolving and sampling from a population of fitness cases, and compare these with a random sampling technique. We design three symbolic regression problems on which to test these techniques, and also measure their relative performance on a modular robot control problem. The methods have varying relative performance, but in all of our experiments, at least one of the co-evolutionary methods outperforms the random sampling method by guiding evolution, with substantially fewer fitness evaluations, toward solutions that generalize best on an out-of-sample test set.
Action recognition using ensemble weighted multi-instance learning

This paper deals with recognizing human actions in depth video data. Current state-of-the-art action recognition methods use hand-designed features, which are difficult to produce and time-consuming to extend to new modalities. In this paper, we propose a novel, 3.5D representation of a depth video for action recognition. A 3.5D graph of the depth video consists of a set of nodes that are the joints of the human body. Each joint is represented by a set of spatio-temporal features, which are computed by an unsupervised learning approach. However, if occlusions occur, the 3D positions of the joints are noisy which increases the intra-class variations in action classes. To address this problem, we propose the Ensemble Weighted Multi-Instance Learning approach (EnwMi) for the action recognition task. It considers the class imbalance and intra-class variations. We formulate the action recognition task with depth videos as a weighted multi-instance problem. We further integrate an ensemble learning method into the weighted multi-instance learning framework. Our approach is evaluated on Microsoft Research Action3D dataset, and the results show that it outperforms state-of-the-art methods.
THE IDEA-COLLECTOR: A DEVICE FOR CREATIVE FACE-TO-FACE MEETINGS.

This paper presents the design of a prototypical system to support creative group discussions, like brainstorms. The central concept of this design is the Idea-collector: a tangible input device that is used to organize information displayed on an electronic whiteboard. A working prototype of the Idea-collector was made, following a range of early prototypes. Initial user tests are encouraging with regards to the potential of the device.
Copper losses of litz-wire windings due to an air gap

In this paper, a systematic procedure is presented, how to predict the AC resistance of litz-wire windings considering air gap fringing fields. For this purpose, an equivalent complex permeability model is derived for hexagonally packed wires. It is shown, how finite element method (FEM) can be used to determine the real as well as the imaginary part of the complex permeability with the copper filling factor as a parameter. A further FEM-model is deduced to describe the air gap fringing fields of gapped inductors. Accordingly, the exact proximity losses of the litz-wire winding are determined correctly and the AC resistance of practical inductors can be predicted over a wide frequency range with high accuracy. This offers the opportunity to optimize such components. Finally, the influence of various parameters on the copper losses is investigated and verified by means of experimental data drawn from impedance measurements.
Binary Discriminant Analysis for Generating Binary Face Template

Although biometrics is more reliable, robust and convenient than traditional methods, security and privacy concerns are growing. Biometric templates stored in databases are vulnerable to attacks if they are not protected. To solve this problem, a biometric cryptosystem approach that combines cryptography and biometrics has been proposed. Under this approach, helper data is stored in a database rather than the original reference biometric templates. The helper data is generated from the original reference biometric templates and a cryptographic key with error-correcting coding schemes. During decoding, the same cryptographic key can be released from the helper data if and only if the input query data is close enough to the reference. It is assumed that the helper data does not reveal any information about the original reference biometric templates. Thus, the biometric cryptosystem approach can protect the original reference templates. However, error-correcting coding algorithms (e.g., the fuzzy commitment scheme and fuzzy vault) normally require finite input. As most face templates are real-valued templates, a binarization scheme transforming the original real-valued face templates into binary templates is required. Most existing binarization schemes are performed in an ad hoc manner and do not consider the discriminability of the binary template. The recognition accuracy based on the binary templates is thus degraded. In view of this limitation, we propose a new binarization scheme by optimizing binary template discriminability. A novel binary discriminant analysis is developed to transform a real-valued template into a binary template. Differentiation is hard to perform in binary space and direct optimization is difficult. To solve this problem, we construct a continuous function based on the perceptron to optimize binary template discriminability. Our experimental results show that the proposed algorithm improves binary template discriminability.
A class of perfect-reconstruction nonuniform cosinemodulated filter-banks with dynamic recombination

This paper presents a class of perfect-reconstruction (PR) nonuniform cosine-modulated filter-banks (CMFBs) with dynamic recombination, which based on a two-stage structured nonuniform filter-bank (FB). By dynamically merging consecutive subbands in an original uniform FB with pre-designed transmultiplexers (TMUXs) having different numbers of channels, PR nonuniform FBs with adjustable time-frequency resolution can be obtained. In particular, we emphasize the issue of the PR recombination nonuniform FB when the coprime condition on the numbers of channels in the original FB and the recombination TMUX does not hold. A new optimization criterion is proposed to handle the case. Finally, detailed design procedure and example are shown to illustrate this method.
Conclusion Social Statistics Some Explanatory Contradictory Problems in the Dialysis

In daily life, we often encounter some conclusions with characteristics of statistics, let people doubt even worry about social stability, one of the important reason is ignored a deep-seated problems in statistics, statistical conclusion itself is not necessarily true, right, in fact, statistical inference conclusion often answer is that the characteristics of the sample indexes corresponding indicators are consistent with the overall problem, rather than answer questions of right and wrong, it can not be completely sure of the conclusion to the negative, it is not give people this is the problem. This article attempts through a simple example of "defects" in this position, defend this will be the development of statistics is a blow or an innovation, peer experts looking for further discussion.
Hindi Syntax: Annotating Dependency, Lexical Predicate-Argument Structure, and Phrase Structure

This paper describes a treebanking project for Hindi/Urdu. We are annotating dependency syntax, lexical predicate-argument structure, and phrase structure syntax in a coordinated and partly automated manner. The paper focuses on choices in syntactic representation, and the stages we think are most appropriate for annotating differnt types of information.
A fast and accurate method to estimate XPM impact under PMD

By considering PMD-induced relative state of polarization (RSOP) change among different channels in WDM system, a fast method is proposed to estimate XPM impact under PMD. Its estimated Q value fits well to the simulation based on time-consuming Split Step Fourier Method for PDM-QPSK format, with less than 0.1dB difference.
Analytical real-time pattern generation for trajectory modification and footstep replanning of humanoid robots

In this paper we present a framework for generating walking motions for a humanoid robot and how to adapt the trajectory to handle disturbances during the execution of the trajectory. Based on the simplified dynamics of a mass concentrated model, we generate a physically consistent motion that depends on the current CoM state space of the robot. If the disturbance is low, it is possible to adapt the trajectory in order to reach the desired next step position. In the case of strong disturbances, we show how to modify the final goal under a reactive stepping framework. Simulations and hardware experiments with the full-size humanoid HRP-4 show the validity of the proposed scheme.
Dude, Where's That IP? Circumventing Measurement-based IP Geolocation

Many applications of IP geolocation can beneﬁt from ge-olocation that is robust to adversarial clients. These include applications that limit access to online content to a speciﬁc geographic region and cloud computing, where some organizations must ensure their virtual machines stay in an appropriate geographic region. This paper studies the applicability of current IP geolocation techniques against an adversary who tries to subvert the techniques into returning a forged result. We propose and evaluate attacks on both delay-based IP geolocation techniques and more advanced topology-aware techniques. Against delay-based techniques, we ﬁnd that the adversary has a clear trade-off between the accuracy and the detectability of an attack. In contrast, we observe that more sophisticated topology-aware techniques actually fare worse against an adversary because they give the adversary more inputs to manipulate through their use of topology and delay information.
An Approach for Object Detection in Android Device

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. An attempt is made in this study to detect and extract objects in an image implemented on android platform. Color images are converted to binary images using the thresholding technique. Morphological opening and closing filters are used in sequence for object detection. Contour based learning techniques are adopted for drawing contours of the objects detected. In the process objects are extracted and stored in an array for further analysis. OpenCV functions are used to implement these algorithms on android.
The trecvid 2008 BBC rushes summarization evaluation

This paper describes an evaluation of automatic video summarization systems run on rushes from several BBC dramatic series. It was carried out under the auspices of the TREC Video Retrieval Evaluation (TRECVid) as a followup to the 2007 video summarization workshop held at ACM Multimedia 2007. 31 research teams submitted video summaries of 40 individual rushes video files, aiming to compress out redundant and insignificant material. Each summary had a duration of at most 2% of the original. The output of a baseline system, which simply presented each full video at 50 times normal speed was contributed by Carnegie Mellon University (CMU) as a control. The 2007 procedures for developing ground truth lists of important segments from each video were applied at the National Institute of Standards and Technology (NIST) to the BBC videos. At Dublin City University (DCU) each summary was judged by 3 humans with respect to how much of the ground truth was included and how well-formed the summary was. Additional objective measures included: how long it took the system to create the summary, how long it took the assessor to judge it against the ground truth, and what the summary's duration was. Assessor agreement on finding desired segments averaged 81%. Results indicated that while it was still difficult to exceed the performance of the baseline on including ground truth, the baseline was outperformed by most other systems with respect to avoiding redundancy/junk and presenting the summary with a pleasant tempo/rhythm.
RFID TAG IDENTIFICATION USING BIT TRACKING TECHNOLOGY

Tag identification is an important tool in RFID systems with applications for monitoring and tracking. A RFID reader recognizes tags through communication over a shared wireless channel. When multiple tags transmit their IDs simultaneously, the tag to reader signals collide and this collision disturbs a reader’s identification process. Therefore, tag collision arbitration for passive tags is a significant issue for fast identification. This paper proposes an optimal query tracking tree protocol (OQTT) that tries to separate all of the tags into smaller sets to reduce collisions at the beginning of identification. Using bit tracking technology, OQTT mainly adopts three proposed approaches, bit estimation, optimal partition, and query tracking tree. Bit estimation first estimates the number of tags based on the locations of collided bits. Optimal partition then determines the optimal number of the initial sets based on this estimation. Query tracking tree splits a set of collided tags into two subsets using the first collided bit in the tag IDs. Flat File Schema used to create separate record for each of the different tags . Muenchian method used to handle Grouping and Sorting Grouping all the tags by using data elements then debatch the complete records.This paper analyzes the efficiency of OQTT, which represents how many tags can be identified in a slot.
The Perfect Recipe

Abstract This paper considers the implications of a particular kind of recipe, namely recipes that purport to be perfect, for democratic citizenship. I explore the political dimensions of perfect recipes not in terms of identity or community, but as a type of political instrument, or as manifesting a particular form of political obligation, based on the cook/reader's submission to the terms and commands of the recipe. We might thus describe the relationship between the perfect recipe and the reader/cook as authoritarian or autocratic. It is not much of an exaggeration to say that perfect recipes may make for good meals but bad cooks. But perfect recipes do more than make bad cooks—they make bad citizens because they encourage habits of docility and deference, both of which are inimical to democratic citizenship.
Antioxidant Generation during Coffee Roasting: A Comparison and Interpretation from Three Complementary Assays

Coffee is a major source of dietary antioxidants; some are present in the green bean, whereas others are generated during roasting. However, there is no single accepted analytical method for their routine determination. This paper describes the adaption of three complementary assays (Folin-Ciocalteu (FC), ABTS and ORAC) for the routine assessment of antioxidant capacity of beverages, their validation, and use for determining the antioxidant capacities of extracts from coffee beans at different stages in the roasting process. All assays showed a progressive increase in antioxidant capacity during roasting to a light roast state, consistent with the production of melanoidins having a higher antioxidant effect than the degradation of CGAs. However, the three assays gave different numbers for the total antioxidant capacity of green beans relative to gallic acid (GA), although the range of values was much smaller when chlorogenic acid (CGA) was used as reference. Therefore, although all three assays indicated that there was an increase in antioxidant activity during coffee roasting, and the large differences in responses to GA and CGA illustrate their different sensitivities to different types of antioxidant molecule.
Field Dependent Thermal Conductivity of SrTiO3, BaTiO3 and KTaO3 Ferroelectric Perovskites

–Expressions are obtained for the thermal conductivity of some ABO3 type displacive ferroelectrics in paraelectric phase, using Kubo formalism and double time thermal Green’s function technique. The total thermal conductivity obtained for these perovskites which is sum of two terms contributed by optical and acoustical phonons, is in agreement with the experimental results of Steigmeier. The variation of thermal conductivity with temperature and external electric field is discussed, for the case of SrTiO3, BaTiO3 and KTaO3 in presence of anharmonicity. Thermal conductivity decreases with increase of temperature in the cases of all these three perovskites. Also the total thermal conductivity which is the sum of two terms contributed by optical and acoustical phonons is seen to increase with the applied electric field, which is in agreement with the experimental results of Steigmeir. Around the Curie temperature, the thermal conductivity shows an anomalous behaviour and soft mode is held responsible for it. Keywords––Anharmonicity, ferroelectric crystals, paraelectric phase, perovskites, soft mode, thermal conductivity.
SED5 encodes a 39-kD integral membrane protein required for vesicular transport between the ER and the Golgi complex

The ERD2 gene, which encodes the yeast HDEL (His-Asp-Glu-Leu) receptor, is essential for growth (Semenza, J. C., K. G. Hardwick, N. Dean, and H. R. B. Pelham. 1990. Cell. 61:1349-1357; Lewis, M. J., D. J. Sweet, and H. R. B. Pelham. 1990. Cell. 61:1359-1363). SED5, when present in multiple copies, enables cells to grow in the absence of Erd2p. Sequence analysis of SED5 reveals no significant homology with ERD2 or other known genes. We have raised antibodies to Sed5p which specifically recognize a 39-kD integral membrane protein. A stretch of hydrophobic residues at the COOH terminus is predicted to hold Sed5p on the cytoplasmic face of intracellular membranes. Cells that are depleted of Sed5p are unable to transport carboxypeptidase Y to the Golgi complex, and stop growing after a dramatic accumulation of ER membranes and vesicles. We conclude that the SED5 gene is essential for growth and that Sed5p is required for ER to Golgi transport. When Sed5p is overexpressed the efficiency of ER to Golgi transport is reduced, vesicles accumulate, and cellular morphology is perturbed. Immunofluorescence studies reveal that the bulk of Sed5p is not found on ER membranes but on punctate structures throughout the cytoplasm, the number of which increases upon SED5 overexpression. We suggest that Sed5p has an essential role in vesicular transport between ER and Golgi compartments and that it may itself cycle between these organelles.
Charge heterogeneity: Basic antibody charge variants with increased binding to Fc receptors

ABSTRACT We identified active isoforms of the chimeric anti-GD2 antibody, ch14.18, a recombinant antibody produced in Chinese hamster ovary cells, which is already used in clinical trials.1,2,3 We separated the antibody by high resolution ion-exchange chromatography with linear pH gradient elution into acidic, main and basic charge variants on a preparative scale yielding enough material for an in-depth study of the sources and the effects of microheterogeneity. The binding affinity of the charge variants toward the antigen and various cell surface receptors was studied by Biacore. Effector functions were evaluated using cellular assays for antibody-dependent cell-mediated cytotoxicity and complement-dependent cytotoxicity. Basic charge variants showed increased binding to cell surface receptor FcγRIIIa, which plays a major role in regulating effector functions. Furthermore, increased binding of the basic fractions to the neonatal receptor was observed. As this receptor mediates the prolonged half-life of IgG in human serum, this data may well hint at an increased serum half-life of these basic variants compared to their more acidic counterparts. Different glycoform patterns, C-terminal lysine clipping and N-terminal pyroglutamate formation were identified as the main structural sources for the observed isoform pattern. Potential differences in structural stability between individual charge variant fractions by nano differential scanning calorimetry could not been detected. Our in-vitro data suggests that the connection between microheterogeneity and the biological activity of recombinant antibody therapeutics deserves more attention than commonly accepted.
Measurement of Electromagnetic Signal Strengths of Four GSM Base Stations at 900 MHz in a Pilot Region

Mobile phones are used by a wide range of people. Even children use mobile phone although they are in high risk group. Because of this, use of mobile phone should be evaluated based on valid and safe information and measurements. We can utilize mobile phone in a way we desire, that is, we can turn it off in order to avoid its radiation when we do not want to use it. However, we cannot control base stations; moreover we do not know where they are mounted. So, radiation of base stations has more importance than that of mobile phones in this respect. Additionally, some GSM service providers may prefer to conceal base station in a way people cannot notice when people are probably opposed to mounting of base station very close to their live space. In this paper, signal strength of base stations (900 MHz) in a pilot region were measured and recorded. The selected region was averagely 500,000 m2 and has 4 base stations. 53 measurement points were determined on the streets of the region. The measurement region had nearly 97 apartments and these apartments had between 400 and 500 flats. The population living in this region was between 1500 and 2000. The averaged signal strength over 53 points in this pilot region were estimated as ̶ 72.7 dBm. The minimum and maximum measurements were recorded as ̶ 87 and ̶ 47 dBm, respectively. The standard deviation of the measurement values was calculated as ̶ 8.5 dBm.