Miracle-dz/UniFAR-FTUs huggingface dataset:
USING SPATIAL INFORMATION FOR INTERACTIVE REFERENCE RESOLUTION

Carrying out user commands entails target object detection for service robots. When the robot system suffers from a limited object detection capability, effective communication between the user and the robot facilitates the reference resolution. We aim to develop a service robot, assisting people inside home or small office environments where, most of the user requests are directly or indirectly linked to some objects in the scene. Objects can be described using features like color, shape, size etc. For simple objects on simple backgrounds, these attributes can be determined with satisfactory results. For complex scenes, position of an object and spatial relation with other objects in the scene, facilitate target object detection. Our robot system is assumed to recognize some object classes and specific objects. How human users, being aware of the limited object detection capability of their robot partner, describe objects in images is of primary interest. A survey is conducted in this regard. Results show that color and spatial relation among objects are the mostly used attribute by the participants. Among several aspects of communication yielded from the experiment results, we have chosen “Feedback generation” to implement into our robot system. An algorithm has been constructed for this purpose. By analyzing the dialogs derived from the survey, vocabulary list for attributes and input style of users have been identified. Then a language parser has been designed to extract attributes from user input. Moreover, number of known objects has an impact on designing the query of the robot. This research also proposes a method to choose optimal reference among the known objects so that generated queries lead to target object detection.
The Economic Payoff of Name Americanization Costanza Biavaschi IZA

The Economic Payoff of Name Americanization We examine the impact of the Americanization of names on the labor market outcomes of migrants. We construct a novel longitudinal data set of naturalization records in which we track a complete sample of migrants who naturalize by 1930. We find that migrants who Americanized their names experienced larger occupational upgrading. Some, such as those who changed to very popular American names like John or William, obtained gains in occupation-based earnings of at least 14%. We show that these estimates are causal effects by using an index of linguistic complexity based on Scrabble points as an instrumental variable that predicts name Americanization. We conclude that the tradeoff between individual identity and labor market success was present since the early making of modern America. JEL Classification: J61, J62, Z1, N32
05 64 6 v 2 [ gr-q c ] 1 3 M ay 2 01 9 Hair Loss in Parity Violating Gravity

The recent detection of gravitational waves by the LIGO/VIRGO collaboration has allowed for the first tests of Einstein’s theory in the extreme gravity regime, where the gravitational interaction is simultaneously strong, non-linear and dynamical. One such test concerns the rate at which the binaries inspiral, or equivalently the rate at which the gravitational wave frequency increases, which can constrain the existence of hairy black holes. This is because black holes with scalar hair typically excite dipole radiation, which in turn leads to a faster decay rate and frequency chirping. In this paper, we present mathematical proofs that scalar hair is not sourced in stationary, asymptotically flat, and axisymmetric spacetimes, including those appropriate to stars and black holes, when considering extensions of Einstein’s theory that break parity in gravity, focusing on dynamical Chern-Simons theory as a particular toy model.This result implies that current electromagnetic observations of accreting black hole systems or of binary pulsars cannot constrain parity violation in gravity today.
An empirical investigation of quality outcomes in the software industry : A gap analysis approach

The assessment of quality is pervasive but vital in organisations. It is particularly important in the design of an effective quality management system. The assessment is often considered from the perspective of fulfilling customers‟ requirements; however, the level of compatibility between the producers‟ perceptions of what to deliver and the customers‟ desires and expectations is often uncertain. This paper describes an empirical study evaluating, within the software industry in Egypt, the extent to which differences may exist between software provider perceptions and customer expectations regarding the levels of ideal performance, as well as differences between their perceptions of the actual performance delivered, across multiple dimensions of quality. The study involved a survey of 142 software developers and 111 software customers. Differences, or gaps, were found across all nine measured dimensions of quality. These quality gaps were found to be both statistically and practically significant. These gaps must be recognised, and measured by an organization so that it can formally address any “flaws” within the design and implementation of its quality management program.
Cutaneous Mesenchymal Tumors : About 126 Cases

1 Department of pathology, Moulay Ismail Military Hospital, Meknes, Morocco 2 Department of oral-maxillofacial surgery, Moulay Ismail Military Hospital, Meknes, Morocco 3 Department of dermatology, Moulay Ismail Military Hospital, Meknes, Morocco 4 Department of pathology, Hassan II Teaching Hospital, Fez, Morocco 5 Department of pathology, Military Hospital Mohammed V, Rabat, Morocco 6 Faculty of Medicine and Pharmacy, Sidi Mohamed Benabdellah University, Fez, Morocco
THE IMPACT OF SOME BIOREGULATORS ON GROWTH , CHEMICAL CHARACTERS AND RADICAL SCAVENGING PROPERTIES OF ONION VOLATILE OIL

Onion plants (Allium cepa L.) are one the utmost substantial harvests grown-up in Egypt and might be considered the principal cultured crops in the world owing to their extended storing time and convenience. Production of good quality onion is an important goal by the growers for local market and exports. Many biological activities of Alliums were valued to possess like phenolic and potent sulfur compounds, which provoke unlimited interest (Benkeblia, 2004, 2005; Packia et al., 2015; Aslam et al., 2017). From inception, onion has been used as a food as well as medicine (Martinez et al., 2007). Traditionally, onions were used to prevent infections as they contain many valuable compounds exerted antiinflammatory, antihistamine effects, anti-parasitic, antifungal, antibacterial (including H. pylori) (Wani and Nisa, 2011; Kirilov et al., 2014; Lekshmi et al., 2015). According to FAO, tomato followed by onion in terms of yearly world production, improved varieties and crop production techniques project to raise economic yields of this crop. Application of bioregulators for onion cultivation is an easy and popular means for improving the yield, oil yield quality and quantity (Shafeek et al., 2015). Current horticulture pursues substitutes to increase the plant quality palatability like biotechnology, crop controlling systems and the biological regulators. Growth regulators are considered the fundamental elements in growth, flowering, fruit setting and seed production in vegetative plants as well as onion and are well examined. Lokhande and Gaikwad (2014) stated that the foliar applications of GA, SA, 6BA, CCC, methionine and cysteine on the two onion varieties significantly increased the chlorophyll content, slightly altered the chlorophyll a/b ratio, decreased carotenoid and total carbohydrate contents, while total sugars were slightly elevated. Numerous classes of plant growth regulators disturb physiological activities of onion plants. Ebrahim and AbuGrab (1997) found that CCC application increased potassium (K), nitrogen (N) and phosphorus (P) concentrations in onion Pak. J. Agri. Sci., Vol. 56(4), 828-838; 2019 ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 DOI: 10.21162/PAKJAS/19.8782 http://www.pakjas. com.pk
Camptothecin induces G 2 / M phase arrest through the ATM-Chk 2-Cdc 25 C axis as a result of autophagy-induced cytoprotection : Implications of reactive oxygen species

In the present study, we report that camptothecin (CPT) caused irreversible cell cycle arrest at the G2/M phase, and was associated with decreased levels of cell division cycle 25C (Cdc25C) and increased levels of cyclin B1, p21, and phospho-H3. Interestingly, the reactive oxygen species (ROS) inhibitor, glutathione, decreased CPTinduced G2/M phase arrest and moderately induced S phase arrest, indicating that the ROS is required for the regulation of CPT-induced G2/M phase arrest. Furthermore, transient knockdown of nuclear factor-erythroid 2-related factor 2 (Nrf2), in the presence of CPT, increased the ROS’ level and further shifted the cell cycle from early S phase to the G2/M phase, indicating that Nrf2 delayed the S phase in response to CPT. We also found that CPT-induced G2/M phase arrest increased, along with the ataxia telangiectasia-mutated (ATM)-checkpoint kinase 2 (Chk2)-Cdc25C axis. Additionally, the proteasome inhibitor, MG132, restored the decrease in Cdc25C levels in response to CPT, and significantly downregulated CPT-induced G2/M phase arrest, suggesting that CPT enhances G2/M phase arrest through proteasome-mediated Cdc25C degradation. Our data also indicated that inhibition of extracellular signal-regulated kinase (ERK) and c-Jun N-terminal kinase (JNK) inhibited CPT-induced p21 and cyclin B1 levels; however, inhibition of ERK blocked CPT-induced G2/M phase arrest, and inhibition of JNK enhanced apoptosis in response to CPT. Finally, we found that CPT-induced G2/M phase arrest circumvented apoptosis by activating autophagy through ATM activation. These findings suggest that CPT-induced G2/M phase arrest through the ROS-ATMChk2-Cdc25C axis is accompanied by the activation of autophagy. www.oncotarget. com Oncotarget, 2018, Vol. 9, (No. 31), pp: 21744-21757
Sparse Representation-Based Classification (SRC): A Novel Method to Improve the Performance of Convolutional Neural Networks in Detecting P300 Signals

Introduction: Brain-Computer Interface (BCI) offers a non-muscle way between the human brain and the outside world to make a better life for disabled people. In BCI applications P300 signal has an effective role; therefore, distinguishing P300 and non-P300 components in EEG signal (i.e. P300 detection) becomes a vital problem in BCI applications. Recently, Convolutional Neural Networks (CNNs) have had a significant application in detection of P300 signals in the field of BCIs. The P300 signal has low Signal to Noise Ratio (SNR). On the other hand, the CNN detection rate is so sensitive to SNR; therefore, CNN detection rate drops dramatically when it is faces with P300 data. In this study, a novel structure is proposed to improve the performance of CNN in P300 signal detection by means of improving its performance against low SNR signals. Methods: In the proposed structure, Sparse Representation-based Classification (SRC) was used as the first substructure. This block is responsible for prediction of the expected P300 signal among artifacts and noise. The second substructure performed P300 classification with Adadelta algorithm. Thanks to such SNR improvement scheme; the proposed structure i able to increase the rate of accuracy in the field of P300 signal detection. Results: To evaluate the performance of the proposed structure, we applied it on EPFL dataset for P300 detection, and then the achieved results were compared with those obtained from the basic CNN structure. The comparisons revealed the superiority of the proposed structure against its alternative, so that its True Positive Rate (TPR) was promoted about 19.66%. Such improvements for false detections and accuracy parameters were 1.93% and 10.46%, respectively, which show the effectiveness of applying the proposed structure in detecting P300 signals. Conclusion: The better accuracy of the proposed algorithm compared to basic CNN, in parallel with its more robustness, showed that the Sparse Representation-based Classification (SRC) had a considerable potential to be used as an improving idea in CNN-based P300 detection. Keywords: EEG, Neural Networks, Signal Detection, Machine Learning, Brain-Computer Interfaces, Brain-Computer Interface, Brain, Neuroscience, P300, Convolutional Neural Networks, Deep Learning
Arthroplasty in a Prospective Multicountry Study Quality of Life Following Prestige LP Cervical Disc

Background: To describe routine surgical practice using Prestige LP Cervical Disc (Prestige disc) and patient outcomes for degenerative cervical disc disease in a multicenter 2-year prospective, observational study. Methods: Patient demographics and intraoperative data were collected; quality of life (QoL) (EQ-5D, EQ-VAS, and neck disability index), average disc height, and adverse events were assessed preand postoperatively at 3, 6, 12, and 24 months. Results: One hundred and ninety-four patients were enrolled (190 patients implanted; female: 67%; mean age: 44.0 years; mean body mass index: 25.6). Disc herniation was the most frequent indication for cervical arthroplasty (80.5%). Thirty-seven percent of patients experienced pain for . 1 year prior to baseline assessment. Mean procedure duration was 87.1 minutes, and mean blood loss was 43.8 mL. The majority (71.0%) of Prestige discs were implanted at level C5 to C6, while 16.3% of patients received implants at 2 levels. There was a significant improvement from baseline to 3, 6, 12, and 24 months of follow-up in all QoL assessments. After implantation, the mean disc height at the affected level increased by 0.19 from baseline (0.22) to 3 months (0.41) and remained constant up to 24 months (P , .001). Mean disc height of levels above and below the implant remained comparable at baseline and follow-up. A total of 63 adverse events (44 patients) was recorded, of which 7 (11.1%) were related to the Prestige disc, instrumentation, or procedure; 41 (65.1%) were unrelated; and 15 (23.8%) had an unknown relation. Conclusions: In line with published findings, our study shows significant improvement in outcomes in the first 3 months after Prestige disc implantation with improvements maintained throughout the study.
Genetic ) Variant classification : PC 00137 uniprot : P 42704 CYP 2 C 9 Resource : SIO _ 000275 kinase Dataset # 1 : Variant Dataset # 2 : Protein rdf : schema # comment

A key property of Linked Data, i.e., the Web-based representation and publication of data as interconnected labelled graphs, is that it enables querying and navigating through datasets distributed across the network. SPARQL1.1, the current standard query language for RDF-based Linked Data, defines a construct –called Property Paths (PP)– to navigate between entities of a graph. This is potentially very useful in a number of use cases for example in the biomedical domain, where large datasets are available as linked data graphs. However, the use of PP in SPARQL 1.1. is possible only on a single local graph, requiring us to merge all distributed datasets into one large, centrally stored graph, therefore reducing the value of using Linked Data in the first place. We propose an index-based approach –called QPPDs– for answering queries for paths distributed across multiple, distributed datasets. We provide a heuristicbased source selection mechanism to select the relevant datasets (also called data sources) for a given path query, and a technique that federates queries to selected sources, and assembles (merges) the paths (i.e, partial, or complete) retrieved from those remote datasets. We demonstrate our approach on a genomics usecase, where the description of biological entities (e.g., genes, diseases, drugs) are scattered across multiple datasets. In our preliminary investigation, we evaluate the QPPDs approach with real-world path queries –on biological data, which are very heterogeneous in nature– in terms of performance (overall path retrieval time) and result completeness, i.e., number of paths retrieved. INDEX TERMS Linked Data, SPARQL, Distibuted Querying, Federated Querying, Path Retrieval
Title : The Relationship between Mitral Chordae Rupture and Inflammation Level and Oxidative Stress

Background and aim: There are many factors associated with chorda tendinea rupture. The present study aims to investigate the role of Interleukin-6 (IL-6), total antioxidant activity (TAA), total oxidant activity (TOA) and tumor necrosis factor alpha (TNFα) levels on the development of the mitral valve chordae tendinea rupture. Methods: Our study consisted of 30 patients with mitral chordae rupture, 30 patients with severe rheumatic mitral regurgitation, and 20 healthy participants who were admitted to our polyclinic unit. The participants do not have a previously known comorbid disease. After transthoracic echocardiography, their diagnoses were confirmed by the transesophageal echocardiography. Plasma IL-6, TAA-TOA and TNF-α level of all patients were measured and their oxidative stress index (OSI) was calculated.
Pink quartz-a new , meteorite impact-related origin ? Part 1 : Observations and first hypothesis of formation

Pink quartz, not to be confused with rose quartz, is an extremely rare color variety, which is completely transparent and is only known from a few occurrences worldwide. It is believed that the pink color is due to small amounts of aluminum and phosphorus that substitute silicon, and exposure of the quartz to natural gamma radiation. Sands with a dominating proportion of pink quartz excavated from the soil and extracted from a breccia layer in the crater strewn field of the Chiemgau meteorite impact suggest that normally colorless quartz sand was irradiated during the impact event and may possibly be found at other impact sites.
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Echinacea pallida (EP), with immunomodulation and anti-oxidative properties, was selected to study the effects on performances, carcass characteristics and immunity. Twenty mature Grimaud does were randomly divided into two groups of ten which were fed a commercial basal diet without integration of EP (untreated does, C) or with 0.3 mg/kg of EP (treated does, E) for 96 days from 98 days of age. At second parturition, eighty kittens (35-day-old) from 194-day-old does were randomly separated into four groups of twenty and fed a growing commercial basal diet with (with 0.3 mg/kg of EP) or without the integration as follow: CC (basal diet from the C does), CE (treated diet from the C does), EC (basal diet from the E does) and EE (treated diet from the E does). Performances and health status were evaluated from weaning to 77 days old. At 89-day-old, ten rabbits from each group were selected for slaughter to perform carcass characteristic analyses and phagocytosis test. At 95 days of age, the remaining ten rabbits per group were treated with a vaccine against rabbit hemorrhagic disease virus. The serum were collected at 88, 102, 109, 116 and 123 days of age to evaluate specific antibody responses. Twoway ANOVA was performed (maternal and diet effect as fixed factors). In conclusion, the dietary supplementation by EP in does promoted heavier SW and higher ADG in their kittens, whereas treated diets fed to fattening rabbits, induced a decrease of SW, a higher FCR and a phagocytic activity improvement.
Clinical utility of a standardized chronic hypersensitivity pneumonitis exposure questionnaire

Identification of an exposure is integral to the diagnosis, management, and prognostication of chronic hypersensitivity pneumonitis (CHP). Standardized questionnaires may aid in the identification of exposures, however, there currently are no evidence‐based patient‐validated questionnaires available. Key qualifiers (including duration and frequency) which indicate exposure relevance are also poorly defined. This study assessed the use of a standardized CHP exposure questionnaire in the identification of exposures and diagnostic confidence of CHP.
Moderately Complex Paxos Made Simple: High-Level Executable Specification of Distributed Algorithms

This paper describes the application of a high-level language and method in developing simpler specifications of more complex variants of the Paxos algorithm for distributed consensus. The specifications are for Multi-Paxos with preemption, replicated state machine, and reconfiguration and optimized with state reduction and failure detection. The language is DistAlgo. The key is to express complex control flows and synchronization conditions precisely at a high level, using nondeterministic waits and message-history queries. We obtain complete executable specifications that are almost completely declarative--updating only a number for the protocol round besides the sets of messages sent and received. We show the following results: (1) English and pseudocode descriptions of distributed algorithms can be captured completely and precisely at a high level, without adding, removing, or reformulating algorithm details to fit lower-level, more abstract, or less direct languages. (2) We created higher-level control flows and synchronization conditions than all previous specifications, and obtained specifications that are much simpler and smaller, even matching or smaller than abstract specifications that omit many algorithm details. (3) The simpler specifications led us to easily discover useless replies, unnecessary delays, and liveness violations (if messages can be lost) in previous published specifications, by just following the simplified algorithm flows. (4) The resulting specifications can be executed directly, and we can express optimizations cleanly, yielding drastic performance improvement over naive execution and facilitating a general method for merging processes. (5) We systematically translated the resulting specifications into TLA+ and developed machine-checked safety proofs, which also allowed us to detect and fix a subtle safety violation in an earlier unpublished specification. Additionally, we show the basic concepts in Paxos that are fundamental in many distributed algorithms and show that they are captured concisely in our specifications.
PERPHERAL, BLOOD GENE MARKERS FOR EARLY DAGNOSIS OF PARKINSONS DISEASE TECHNICAL FIELD

(54) PERIPHERAL BLOODGENE MARKERS FOR Publication Classification EARLY DAGNOSIS OF PARKINSONS DISEASE (51) Int. Cl. CI2O I/68 (2006.01) (76) Inventors: Silva A. Mandel, Haifa (IL); Moussa G06F 9/20 (2006.01) B.H. Youdim, Nesher (IL); Peter (52) U.S. Cl Riederer, Wurzburg (DE); Edna AV e. we Grunblatt, Spreitenbach (CH); Jose M. CPC . CI2O I/6883 (2013.01); cus,tee Rabey, Ramat Aviv (IL); Leonid in Molochnikov, Ashdod (IL) USPC . 435/6.12; 702/19; 702/21
Facial Signature Authentication Using Thermal Images

A new thermal imaging framework with unique feature extraction and similarity measurements for face recognition is presented. The research premise is to design specialized algorithms that would extract vasculature information, create a thermal facial signature, and identify the individual. The proposed algorithm is fully integrated and consolidates the critical steps of feature extraction through the use of morphological operators, registration using the Linear Image Registration Tool, and matching through unique similarity measures designed for this task. The novel approach at developing a thermal signature template using four images take at various instants of time ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal feature. To achieve more reliable verification or identification we should use something that really characterizes the given person. Biometrics offer automated methods of identity verification or identification on the principle of measurable physiological or behavioural characteristics such as a fingerprint or a voice sample. The characteristics are measurable, unique and these characteristics should biometrics not be duplicable.res.