Miracle-dz/UniFAR-FTUs huggingface dataset:
Lifetimes of atmospheric species: Integrating environmental impacts

The environmental damage caused by atmospheric pollutants is proportional to the duration of their effects. The global impacts of greenhouse gases (as measured by global warming potential) and ozone depleting substances (as measured by ozone depletion potential) have traditionally been calculated using the atmospheric lifetime of the source gas as a quantitative measure of the impact's duration, assuming that the gas quickly reaches a steady‐state pattern which decays exponentially according to the lifetime. This assumed behavior obviously does not match the true rise and fall of impacts, particularly secondary ones like ozone depletion, that can be seen in numerical integrations or chemical mode decomposition. Here, the modes decomposition is used to prove that: (a) the steady‐state pattern of impacts caused by specified emissions, multiplied by (b) the steady‐state lifetime of the source gas for that emission pattern, is exactly equal to (c) the integral of all impacts ‐ independent of the number and atmospheric residence times of secondary impacts.
End-fire radiating antenna on IPD technology for 60 GHz communications

In this paper, we present an end-fire radiating antenna for 60 GHz WiGig applications. This Vivaldi antenna is realized on glass substrate using Integrated Passive Device technology. Measurements using an RF probe show that the antenna is matched with a -10 dB criteria from 56 to 67 GHz. A realized gain higher than 4 dBi is obtained in the end-fire direction from 56 to 65 GHz.
Corrigendum: What Predicts Children’s Fixed and Growth Intelligence Mind-Sets? Not Their Parents’ Views of Intelligence but Their Parents’ Views of Failure

Children’s intelligence mind-sets (i.e., their beliefs about whether intelligence is fixed or malleable) robustly influence their motivation and learning. Yet, surprisingly, research has not linked parents’ intelligence mind-sets to their children’s. We tested the hypothesis that a different belief of parents—their failure mind-sets—may be more visible to children and therefore more prominent in shaping their beliefs. In Study 1, we found that parents can view failure as debilitating or enhancing, and that these failure mind-sets predict parenting practices and, in turn, children’s intelligence mind-sets. Study 2 probed more deeply into how parents display failure mind-sets. In Study 3a, we found that children can indeed accurately perceive their parents’ failure mind-sets but not their parents’ intelligence mind-sets. Study 3b showed that children’s perceptions of their parents’ failure mind-sets also predicted their own intelligence mind-sets. Finally, Study 4 showed a causal effect of parents’ failure mind-sets on their responses to their children’s hypothetical failure. Overall, parents who see failure as debilitating focus on their children’s performance and ability rather than on their children’s learning, and their children, in turn, tend to believe that intelligence is fixed rather than malleable.
Detection and localization of birds for Bird Deterrence using UAS

Abstract Cherry, grape, and blueberry growers lose around 80 million dollars annually to bird damage in the state of Washington alone. Growers of a wide range of crops have a critical need for a safe and cost-effective method for persistent bird deterrence, which would lead to significantly reduced production costs. The goal of this research is to build a completely autonomous Unmanned Aerial System (UAS) to deter birds from the blueberry fields and grape vineyards. In the effort to build the UAS, the most vital part of its implementation is the vision system. The primary objective of this paper is to build a system to detect and localize birds. To detect birds, background subtraction algorithms have been used and the performance of various background subtraction algorithms are measured. It is found out that ViBe, a background subtraction algorithm, performs best in the bird detection scenario and provides an accuracy of 63%. In the quest of improving the bird detection speed and obtaining it in real time, a split window technique is used to improve the detection speed by 13%. To estimate the distance of the detected bird, a stereo vision system is proposed. With our current system, an accurate measure of the distance of the object is possible from 2 to 7 meters with an error accuracy of 30 centimeters. The long-term goal is to combine the efforts of the paper to successfully create a completely autonomous Smart Scarecrow that can safely, effectively and reliably scare and deter birds from high-value crops.
Transitivity Analysis on Shakespeare ’ s Sonnets

Abstract:Applying transitivity on the sonnet is what this research does; it is different from other previous researches which applying transitivity on other kinds of text. This research occupies the descriptive analysis method, in order to cultivate the sonnet to find out the type of process in transitivity. After analyzing the data from three Shakespeare’s sonnets, this research finally is able to posit that there are four process types of six types appearing; they are material process, mental process, relational process and existential process. Due to identify which type of process more often appears in these three sonnets, the researcher calculates and makes the table. This research finds that material process appeared more often than others; after that, mental process, relational process and existential process. On the other hand, the researcher as well identified some archaic words; such as ‘hath’, ‘mayst’, ‘see’st’, ‘fadeth’, ‘doth’, ‘perceivest’, ‘ere’, ‘thou’, ‘thy’, and ‘writ’.
Germline BAP1 mutation predisposes to uveal melanoma, lung adenocarcinoma, meningioma, and other cancers

Objective To investigate the potential contribution of germline sequence alterations in the BAP1 gene in uveal melanoma (UM) patients with possible predisposition to hereditary cancer. Design A total of 53 unrelated UM patients with high risk for hereditary cancer and five additional family members of one proband were studied. Mutational screening was carried out by direct sequencing. Results Of the 53 UM patients studied, a single patient was identified with a germline BAP1 truncating mutation, c. 799 C→T (p.Q267X), which segregated in several family members and was associated with UM and other cancers. Biallelic inactivation of BAP1 and decreased BAP1 expression were identified in the UM, lung adenocarcinoma and meningioma tumours from three family members with this germline BAP1 mutation. Germline BAP1 variants of uncertain significance, likely non-pathogenic, were also identified in two additional UM patients. Conclusion This study reports a novel hereditary cancer syndrome caused by a germline BAP1 mutation that predisposes patients to UM, lung carcinoma, meningioma, and possibly other cancers. The results indicate that BAP1 is the candidate gene in only a small subset of hereditary UM, suggesting the contribution of other candidate genes.
Paraphrase identification using machine learning techniques

Paraphrases are different ways of expressing the same content. Two sentences are said to be paraphrases if they are semantically equivalent. Identification of paraphrases has numerous applications such as Information Extraction, Question Answering, etc. The traditional systems use threshold values to decide whether two sentences are paraphrases. This threshold determination process is independent on the training data and apart may lead to incorrect paraphrase reasoning. In order to avoid the threshold settings, we propose to use machine learning techniques. The advantages of a ML approach is its ability to account for a large mass of information and the possibility to incorporate different information sources like morphologic, syntactic, and semantic among others in a single execution. With the objective to increase the performance of the system and to develop a machine learning approach for paraphrase identification, we scrutinize the influence of the combination of lexical and semantic information, as well as techniques for classifier combination.
Hierarchical PLS Modeling for Predicting the Binding of a Comprehensive Set of Structurally Diverse Protein-Ligand Complexes

A new approach is presented for predicting ligand binding to proteins using hierarchical partial-least-squares regression to latent structures (Hi-PLS). Models were based on information from the 2002 release of the PDBbind database containing (after in-house refinement) high-resolution X-ray crystallography and binding affinity (Kd or Ki) data for 612 protein-ligand complexes. The complexes were characterized by four different descriptor blocks: three-dimensional (3D) structural descriptors of the proteins, protein-ligand interactions according to the Validate scoring function, binding site surface areas, and ligand 2D and 3D descriptors. These descriptor blocks were used in Hi-PLS models, generated using both linear and nonlinear terms, to relate the characterizations to pKd/i. The results show that each of the four descriptor blocks contributed to the model, and the predictions of pKd/i of the internal test set gave a root-mean-square error of prediction (RMSEP) of 1.65. The data were further divided according to the structural classification of the proteins, and Hi-PLS models were constructed for the resulting subclasses. The models for the four subclasses differed considerably in terms of both their ability to predict pKd/i (with RMSEPs ranging from 0.8 to 1.56) and the descriptor block that had the strongest influence. The models were validated with an external test set of 174 complexes from the 2003 release of the PDBbind database. The overall results show that the presented Hi-PLS methodology could facilitate the difficult task of predicting binding affinity.
HPLC DETERMINATION OF ASPARTAME IN TABLETOP SWEETENERS BY PRECOLUMN DERIVATIZATION USING 2, 4-DINITROFLUOROBENZENE Research Article

A new, simple normal phase high performance liquid chromatographic method was developed for the analysis of aspartame in tabletop sweeteners. The method is based on the derivatization of aspartame with 2, 4-dinitrofluorobenzene followed by detection at 332 nm. Separation was carried on silica column with hexane: ethyl acetate (60: 40, V/V) as mobile phase (pH was adjusted to 4.5 using 1% acetic acid) with a flow rate of 1 ml/min. The limit of detection (LOD) and limit of quantification (LOQ) of this method was found to be 1 ng and 4 ng respectively. The method was found to be linear in the concentration range of 20-180 ng. The recovery values of this method were found to be better than 97%.
Turbulent Dynamics in the Solar Convection Zone

Observations of the sun reveal highly complex flows and magnetic structures that must result from turbulent convection in the solar envelope. A remarkable degree of large-scale coherence emerges from the small-scale turbulent dynamics, as seen in the cycles of magnetic activity and in the differential rotation profile of this star. High-performance computing now permits numerical simulations of compressible turbulence and magnetohydrodynamics with sufficient resolution to show that compact structures of vorticity and magnetic fields can coexist with larger scales. Such structured turbulence is yielding transport properties for heat and angular momentum at considerable variance with earlier models. These simulations are elucidating the coupling of turbulent fluid motions with rotation and magnetic fields, which must control the interlinked differential rotation and magnetic dynamo action.
The Relationship Between Inflammation and Dipalmitoyl Phosphatidycholine in Induced Sputum of Children with Asthma

Background. Animal studies have shown elevated surfactant production in response to lung injury. In human airways, the contribution of surfactant to the airway epithelial barrier and importance of eosinophilic inflammation is increasingly appreciated. The relationship between blood and sputum inflammatory indices of childhood asthma to surfactant levels is unknown. In this study we hypothesized that the degree of inflammation influences the level of dipalmitoyl phosphatidycholine (DPPC) in airways of children with asthma. Methods. Sixteen children with asthma (ages 5.5–16 years) underwent venipuncture, skin prick test, spirometry, hypertonic saline challenge, and induced sputum during a nonacute phase. Sputum (sp) and blood (se) markers of inflammation (eosinophils, neutrophils, eosinophilic cationic protein [ECP]), were related to sputum DPPC levels and several markers of asthma severity (airway hyperresponsiveness, quality of life, FEV1). Results. On multiple regression, sp-DPPC significantly correlated to sp-ECP (r = 0.53, P = 0.0048). Se-ECP, se-Eo, sp-eosinophils, sp-neutrophils, se-neutrophils, and inhaled steroids dose did not significantly influence sp-DPPC. Exposure to smoke did not influence inflammatory markers. FEV1 and quality of life data did not relate to any blood or sputum variable. A significant association between AHR and se-eosinophils, but not between AHR and se-ECP, sp-eosinophils, or sp-ECP was found. Conclusion. Elevated DPPC levels occur in the presence of chronic eosinophilic inflammation in airways of children with stable asthma. Whether this represents an inherent lung mechanism for epithelial protection remains to be elucidated.
Signal loss of RFID technology with short distance and high frequency

To obtain an automatic and intelligent monitoring system, RFID is used to aid with CCTV system which is an innovative method. Therefore, some problems exist as integrating these two technologies, and signal loss is one of the problems as RFID signal is vital to the final result. Since the targets which are necessary to be monitored through the CCTV system are dynamic, the experiments in this research are set to obtain dynamic data with specific environments, which traditional signal loss equations are not available. Empirical loss equation is accurate but computational complexity, a simply empirical loss equation is found in this research and the results are compared with the other existing loss equations.
Fast block-matching algorithm using selective integral projections

Existing fast block motion estimation algorithms, which reduce the computation by limiting the number of search points, utilize the motion vector (MV) characteristics of high spatial correlation as well as center-biased distribution in predicting an initial MV. Even though they provide good performance for slow motion sequences, they suffer from poor accuracy for fast or complex motion sequences. In this paper, a new fast and efficient block motion estimation algorithm is proposed. To find an initial search point, in addition to the predictors of zero MV and neighboring MVs, the algorithm utilizes another predictor obtained from one-dimensional feature matching using selective integral projections. This low complexity procedure enables the selection of a better initial search point so that a simple gradient descent search near this point may be enough to find the global minimum point. Compared to recent fast search algorithms, the proposed algorithm has lower computational complexity and provides better prediction performance, especially for fast or complex motion sequences.
A 250W LDMOS Doherty PA with 31% of fractional bandwidth for DVB-T applications

We discuss the development of a wideband LDMOS Doherty PA (DPA) with optimized peak power and efficiency over 550 MHz to 770 MHz of bandwidth. The design was enabled by a wideband output combiner which involves multisection impedance transformation. The DPA delivers more than 46% average efficiency across the band at 48 dBm average power supporting DVB-T signal with 8 MHz bandwidth and PAPR of 10.5 dB. The DPA prototype achieves the target ACPR of - 50 dBc at the upper limit of the bandwidth if digital predistortion is applied.
Oxidative Stress-Induced Destruction of the Yeast C-Type Cyclin Ume3p Requires Phosphatidylinositol-Specific Phospholipase C and the 26S Proteasome

ABSTRACT The yeast UME3 (SRB11/SSN3) gene encodes a C-type cyclin that represses the transcription of the HSP70family member SSA1. To relieve this repression, Ume3p is rapidly destroyed in cells exposed to elevated temperatures. This report demonstrates that Ume3p levels are also reduced in cultures subjected to ethanol shock, oxidative stress, or carbon starvation or during growth on nonfermentable carbons. Of the three elements (RXXL, PEST, and cyclin box) previously shown to be required for heat-induced Ume3p destruction, only the cyclin box regulates Ume3p degradation in response to these stressors. The one exception observed was growth on nonfermentable carbons, which requires the PEST region. These findings indicate that yeast cells contain multiple, independent pathways that mediate stress-induced Ume3p degradation. Ume3p destruction in response to oxidative stress, but not to ethanol treatment, requires DOA4 and UMP1, two factors required for 26S proteasome activity. This result for the first time implicates ubiquitin-mediated proteolysis in C-type cyclin regulation. Similarly, the presence of a membrane stabilizer (sorbitol) or the loss of phosphatidylinositol-specific phospholipase C (PLC1) protects Ume3p from oxidative-stress-induced degradation. Finally, a ume3 null allele suppresses the growth defect of plc1 mutants in response to either elevated temperature or the presence of hydrogen peroxide. These results indicate that the growth defects observed in plc1mutants are due to the failure to downregulate Ume3p. Taken together, these findings support a model in which Plc1p mediates an oxidative-stress signal from the plasma membrane that triggers Ume3p destruction through a Doa4p-dependent mechanism.
Antioxidant efficacy of curcuminoids from turmeric (Curcuma longa L.) powder in broiler chickens fed diets containing aflatoxin B1

A 3-week-feeding study (1–21 d post-hatch) was conducted to evaluate the efficacy of total curcuminoids (TCMN), as an antioxidant, to ameliorate the adverse effects of aflatoxin B1 (AFB1) in broiler chickens. Turmeric powder (Curcuma longa L.) that contained 2·55 % TCMN was used as a source of TCMN. Six cage replicates of five chicks each were assigned to each of six dietary treatments, which included: basal diet; basal diet supplemented with 444 mg/kg TCMN; basal diet supplemented with 1·0 mg/kg AFB1; basal diet supplemented with 74 mg/kg TCMN and 1·0 mg/kg AFB1; basal diet supplemented with 222 mg/kg TCMN and 1·0 mg/kg AFB1; basal diet supplemented with 444 mg/kg TCMN and 1·0 mg/kg AFB1. The addition of 74 and 222 mg/kg TCMN to the AFB1 diet significantly (P < 0·05) improved weight gain and feed efficiency. Increase (P < 0·05) in relative liver weight in birds fed AFB1 was significantly reduced (P < 0·05) with the addition of 74, 222 and 444 mg/kg TCMN to the AFB1 diet. The inclusion of 222 mg/kg TCMN ameliorated the adverse effects of AFB1 on serum chemistry in terms of total protein, albumin and γ-glutamyl transferase activity. The decreased antioxidant functions due to AFB1 were also alleviated by the inclusion of 222 mg/kg TCMN. It is concluded that the addition of 222 mg/kg TCMN to the 1·0 mg/kg AFB1 diet demonstrated maximum antioxidant activity against AFB1.
Lattice filters for adaptive processing

This paper presents a tutorial review of lattice structures and their use for adaptive prediction of time series. Lattice filters associated with stationary covariance sequences and their properties are discussed. The least squares prediction problem is defined for the given data case, and it is shown that many of the currently used lattice methods are actually approximations to the stationary least squares solution. The recently developed class of adaptive least squares lattice algorithms are described in detail, both in their unnormalized and normalized forms. The performance of the adaptive least squares lattice algorithm is compared to that of some gradient adaptive methods. Lattice forms for ARMA processes, for joint process estimation, and for the sliding-window covariance case are presented. The use of lattice structures for efficient factorization of covariance matrices and solution of Toeplitz sets of equations is briefly discussed.
On the Polarization of the Tem-Like Mode in Shielded Microstrip Transmission Line

A variational expression in the form of an integral involving the propagation constant and the field along the two media interface in a shielded micros trip transmission line is derived. Using the Rayleigh-Ritz method along with the original expression, the relative magnitudes of the electric field transverse component to the axial component is obtained. Further, the technique allows a fast and accurate solution of the structure dispersion characteristics.
Cooperative Degradation of Chitin by Extracellular and Cell Surface-Expressed Chitinases from Paenibacillus sp. Strain FPU-7

ABSTRACT Chitin, a major component of fungal cell walls and invertebrate cuticles, is an exceedingly abundant polysaccharide, ranking next to cellulose. Industrial demand for chitin and its degradation products as raw materials for fine chemical products is increasing. A bacterium with high chitin-decomposing activity, Paenibacillus sp. strain FPU-7, was isolated from soil by using a screening medium containing α-chitin powder. Although FPU-7 secreted several extracellular chitinases and thoroughly digested the powder, the extracellular fluid alone broke them down incompletely. Based on expression cloning and phylogenetic analysis, at least seven family 18 chitinase genes were found in the FPU-7 genome. Interestingly, the product of only one gene (chiW) was identified as possessing three S-layer homology (SLH) domains and two glycosyl hydrolase family 18 catalytic domains. Since SLH domains are known to function as anchors to the Gram-positive bacterial cell surface, ChiW was suggested to be a novel multimodular surface-expressed enzyme and to play an important role in the complete degradation of chitin. Indeed, the ChiW protein was localized on the cell surface. Each of the seven chitinase genes (chiA to chiF and chiW) was cloned and expressed in Escherichia coli cells for biochemical characterization of their products. In particular, ChiE and ChiW showed high activity for insoluble chitin. The high chitinolytic activity of strain FPU-7 and the chitinases may be useful for environmentally friendly processing of chitin in the manufacture of food and/or medicine.
FRAMEWORK FOR MULTI-DOCUMENT SUMMARIZATION USING TEXT FEATURES AND FUZZY LOGIC

The rapid growth of Information Technology triggers collection of documents in massive form, so to find the important information from multiple document is a complex task. The multiple documents summarization is task of producing assured summary from these document set. There are other summarization techniques like sentence clustering, term weight etc. However, these techniques use only two or three feature of text to find the importance of considered sentence. In this paper, we put forward an idea of text summarization which considers multiple extracted features by applying natural language processing (NLP) protocol. The ten feature of text are extracted and these feature classified on the basis of fuzzy logic to get the best documents summary. The key features are preprocessing, feature scoring, inference engine, and fuzzy logic.
Position-based and geocast routing protocols in VANETs

We study position-based and geocast routing protocols, which are two categories of Vehicular Ad-hoc Network (VANETs) routing protocols based on the information of position and location respectively. Two scenarios for position-based routing are discussed — the highway scenario and the city scenario. We also study geocast routing protocols that are based on flooding by defining the forwarding zone. Forwarding zone is the region where the destination node is located. The advantages and challenges for these position-based and geocast routing protocols are also discussed followed by a discussion on the suitability of the position-based protocols for the highway and city scenarios.