Miracle-dz/UniFAR-FTUs huggingface dataset:
Prefix-Adaptive and Time-Sensitive Personalized Query Auto Completion

Query auto completion (QAC) methods recommend queries to search engine users when they start entering a query. Current QAC methods mostly rank query completions based on their past popularity, i.e., on the number of times they have previously been submitted as a query. However, query popularity changes over time and may vary drastically across users. Accordingly, the ranking of query completions should be adjusted. Previous time-sensitive and user-specific QAC methods have been developed separately, yielding significant improvements over methods that are neither time-sensitive nor personalized. We propose a hybrid QAC method that is both time-sensitive and personalized. We extend it to handle long-tail prefixes, which we achieve by assigning optimal weights to the contribution from time-sensitivity and personalization. Using real-world search log datasets, we return top <inline-formula><tex-math notation="LaTeX"> $N$</tex-math><alternatives><inline-graphic xlink:type="simple" xlink:href="cai-ieq1-2568179.gif"/></alternatives> </inline-formula> query suggestions ranked by predicted popularity as estimated from popularity trends and cyclic popularity behavior; we rerank them by integrating similarities to a user's previous queries (both in the current session and in previous sessions). Our method outperforms state-of-the-art time-sensitive QAC baselines, achieving total improvements of between 3 and 7 percent in terms of mean reciprocal rank (MRR). After optimizing the weights, our extended model achieves MRR improvements of between 4 and 8 percent.
In Vitro Activity (MIC and MFC) of Voriconazole, Amphotericin B, and Itraconazole Against 192 Filamentous Fungi: The GISIA-2 Study

Abstract We evaluated the In Vitro activity of voriconazole, amphotericin B, and itraconazole against 192 clinical mould isolates recovered in twenty Italian microbiology laboratories. The vast majority of isolates belonged to the genus Aspergillus (94.2%) with A. fumigatus (58.3%) being the most frequently isolated species. Antifungal susceptibility testing was performed using the broth microdilution method defined by the CLSI M38-A standard, and results were compared to those obtained with Sensititre panels. Aspergillus flavus ATCC 204304 was employed as reference strain and results were within all expected ranges. Voriconazole' activity against the 192 mould isolates was comparable to that of amphotericin B and itraconazole: voriconazole MIC90 (CLSI 1 μg/ml, Sensititre 1 μg/ml), itraconazole MIC90 (CLSI 0.5 μg/ml, Sensititre 0.5 μg/ml), amphotericin B MIC90 (CLSI 1 μg/ml, Sensititre 1 μg/ml). In conclusion, these in vitro data highlight voriconazole's broad spectrum activity against filamentous fungi and support its use as a first line agent for the treatment of fungal diseases.
Multiset Discrimination - A Method for Implementing Programming Language Systems without Hashing

It is generally assumed that hashing is essential to many algorithms related to efficient compilation; e.g., symbol table formation and maintenance, grammar manipulation, basic block optimization, and global optimization. This paper questions this assumption, and initiates development of an efficient alternative compiler methodology without hashing or sorting. Underlying this methodology are several generic algorithmic tools, among which special importance is given to Multiset Discrimination, which partitions a multiset into blocks of duplicate elements. We show how multiset discrimination, together with other tools, can be tailored to rid compilation of hashing without loss in asymptotic performance. Because of the simplicity of these tools, our results may be of practical as well as theoretical interest. The various applications presented culminate with a new algorithm to solve iterated strength reduction folded with useless code elimination that runs in worst case asymptotic time and auxiliary space Θ( | L | + | L* | ), where | L | and | L* | represent the lengths of the initial and optimized programs respectively. The previous best solution due to Cocke and Kennedy takes Ω( | L | 3 | L* | ) hash operations in the worst case.
Tumor KRAS status predicts responsiveness to panitumumab in Japanese patients with metastatic colorectal cancer.

OBJECTIVE Mutation status of the KRAS gene in tumors has been shown to be a predictive biomarker of response to anti-epidermal growth factor receptor antibody therapy in patients with metastatic colorectal cancer. This retrospective analysis examined the association between efficacy and safety of the fully human anti-epidermal growth factor receptor antibody panitumumab and KRAS mutation status in Japanese metastatic colorectal cancer patients using data from two clinical trials with adherence to good clinical practices. METHODS An exploratory, integrated analysis of data from KRAS evaluable patients enrolled in a Phase 1 study (Study 20040192) and a Phase 2 study (Study 20050216) was performed. Paraffin-embedded tumor samples were analyzed for KRAS status. Primary efficacy endpoint of this analysis was objective tumor response per modified response evaluation criteria in solid tumors; a key secondary endpoint was progression-free survival. Safety endpoints included incidence of adverse events. RESULTS Tumor samples with known KRAS status were available from 8 of 13 (62%) metastatic colorectal cancer patients in the Phase 1 study and 16 of 53 patients (30%) in the Phase 2 study. Overall, 14 (58%) patients had wild-type KRAS tumors and 10 (42%) patients had mutated KRAS tumors. Four (17%) patients had a partial response; all responders had tumors with wild-type KRAS. Results of all secondary efficacy endpoints also favored patients with wild-type KRAS. Treatment-related adverse events were predominantly mild to moderate and skin related, and were similar between patients with tumors with wild-type and mutated KRAS in this small patient population. CONCLUSIONS Mutated KRAS status in tumors of Japanese patients with metastatic colorectal cancer is associated with lack of response to panitumumab therapy.
Human Action Recognition Using Ordinal Measure of Accumulated Motion

This paper presents a method for recognizing human actions from a single query action video. We propose an action recognition scheme based on the ordinal measure of accumulated motion, which is robust to variations of appearances. To this end, we first define the accumulated motion image (AMI) using image differences. Then the AMI of the query action video is resized to a subimage by intensity averaging and a rank matrix is generated by ordering the sample values in the sub-image. By computing the distances from the rank matrix of the query action video to the rank matrices of all local windows in the target video, local windows close to the query action are detected as candidates. To find the best match among the candidates, their energy histograms, which are obtained by projecting AMI values in horizontal and vertical directions, respectively, are compared with those of the query action video. The proposed method does not require any preprocessing task such as learning and segmentation. To justify the efficiency and robustness of our approach, the experiments are conducted on various datasets.
Implementing fair non-repudiable interactions with Web services

The use of open, Internet-based communications for business-to-business (B2B) interactions requires accountability for and acknowledgment of the actions of participants. Accountability and acknowledgment can be achieved by the systematic maintenance of an irrefutable audit trail to render the interaction non-repudiable. To safeguard the interests of each party, the mechanisms used to meet this requirement should ensure fairness. That is, misbehaviour should not disadvantage well-behaved parties. Despite the fact that Web services are increasingly used to enable B2B interactions, there is currently no systematic support to deliver such guarantees. This paper introduces a flexible framework to support fair non-repudiable B2B interactions based on a trusted delivery agent. A Web services implementation is presented. The role of the delivery agent can be adapted to different end user capabilities and to meet different application requirements.
FUZZY SYNTHETIC EVALUATION MODEL BASED ON THE KNOWLEDGE SYSTEM

Fuzzy measure, as a non-additive metric, is an effective tool for information fusion. Constructing a determining mechanism for fuzzy measure with operability is the key focus in academic and application fields. In this paper, we first take core samples as knowledge carriers on the decision information system. According to changes of knowledge carriers, we second give a knowledge-based metric of attributes importance. Third, combining with Choquet fuzzy integral, we establish a fuzzy synthetic evaluation model (denoted as BIS-FSEM) to deal with correlation indexes. And finally, we analyze the effectiveness of BIS-FSEM and give its implementation steps through a teaching quality evaluation case. Theoretical analysis and computation results show that BIS-FSEM has good operability and interpretability. It enriches the existing data-based metric theories of attributes importance to some extent. So it can be applied in many fields such as information fusion, synthetic evaluation and fuzzy decision-making.
Fxr−/− mice adapt to biliary obstruction by enhanced phase I detoxification and renal elimination of bile acids Published, JLR Papers in Press, December 4, 2005.

Farnesoid X receptor knockout (Fxr−/−) mice cannot upregulate the bile salt export pump in bile acid loading or cholestatic conditions. To investigate whether Fxr−/− mice differ in bile acid detoxification compared with wild-type mice, we performed a comprehensive analysis of bile acids extracted from liver, bile, serum, and urine of naive and common bile duct-ligated wild-type and Fxr−/− mice using electrospray and gas chromatography mass spectrometry. In addition, hepatic and renal gene expression levels of Cyp2b10 and Cyp3a11, and protein expression levels of putative renal bile acid-transporting proteins, were investigated. We found significantly enhanced hepatic bile acid hydroxylation in Fxr−/− mice, in particular hydroxylations of cholic acid in the 1β, 2β, 4β, 6α, 6β, 22, or 23 position and a significantly enhanced excretion of these metabolites in urine. The gene expression level of Cyp3a11 was increased in the liver of Fxr−/− mice, whereas the protein expression levels of multidrug resistance-related protein 4 (Mrp4) were increased in kidneys of both genotypes during common bile duct ligation. In conclusion, Fxr−/− mice detoxify accumulating bile acids in the liver by enhanced hydroxylation reactions probably catalyzed by Cyp3a11. The metabolites formed were excreted into urine, most likely with the participation of Mrp4.
RapidRadio: A Domain-Specific Productivity Enhancing Framework

The RapidRadio framework for signal classification and receiver deployment is discussed. The framework is a productivity enhancing tool that reduces the required knowledge-base for implementing a receiver on an FPGA-based SDR platform. The ultimate objective of this framework is to identify unknown signals and to build FPGA-based receivers capable of receiving them. The architecture of the receiver deployed by the framework and its implementation are discussed. The framework's capacity to classify a signal and deploy a functional receiver is validated with over-the-air experiments.
Electron tomography study of isolated human centrioles

Centrioles are components of the centrosome, which is present in most eukaryotic cells (from protozoa to mammals). They organize the microtubule skeleton during interphase and the mitotic spindle during cell division. In ciliate cells, centrioles form basal bodies that are involved in cellular motility. Despite their important roles in biology, the detailed structure of centrioles remains obscure. This work contributes to a more complete model of centriole structure. The authors used electron tomography of isolated centrosomes from the human lymphoblast KE37 to explore the details of subdistal appendages and centriole lumen organization in mother centrioles. Their results reveal that each of the nine subdistal appendages is composed of two halves (20 nm diameter each) fused in a 40 nm tip that extends 100 nm from where it anchors to microtubules. The centriole lumen is filled at the distal domain by a 45 nm periodic stack of rings. Each ring has a 30 nm diameter, is 15 nm thick, and appears to be tilted at 53° perpendicular to the centriole axis. The rings are anchored to microtubules by arms. Based on their results, the authors propose a model of the mother centriole distal structure. Microsc. Res. Tech., 2009. © 2008 Wiley‐Liss, Inc.
Calibration-based features for JPEG steganalysis using multi-level filter

This paper proposes a novel feature set for JPEG steganalysis calibrated by multi-level filters. These features are built by the entries of co-occurrence matrices from multiple new planes obtained by subsampling the undecimated DCT coefficients according to specific element positions. The method can also be interpreted as a multi-level calibration method in the spatial domain by shifting the cropping positions in the original image to enhance the distinguishing ability of the feature set. Experimental results show that the proposed method can give the less detection error than that of some state-of-the-art steganalysis algorithms such as DCTR and CC-JRM.
An empirical evaluation of the consumption of 802.15.4/ZigBee sensor motes in noisy environments

This paper presents an empirical study of the effects of the channel occupation on the consumption of actual IEEE 802.15. 4/ZigBee motes. The study is focused on the current demanded by a sensor node in a simple beaconless star topology when the CSMA contention algorithm introduces idle times in the activity of the radio transceiver. For this purpose, the developed testbed permits to define the probability of failure of the CCA (Clear Channel Assessment) operation, which is executed by the 802.15. 4 MAC layer to check the availability of the radio channel before any transmission. The obtained results evidence that the sensor lifetime can be seriously diminished for CCA failure rates higher than 30%, which can be a common situation in Wireless Sensor Networks with tens of nodes where data must be updated several times per second.
Beyond SIFT for image classification

In classifying images, scenes or objects, the most popular approach is based on the features extraction-coding-pooling framework allowing to generate discriminative and robust image representations from densely extracted local patches, mainly some SIFT/HOG ones. The majority of the latest research is focused on how to improve successfully these coding and pooling parts. In this work, we show that substantial improvements can be also obtained by coding information closer to the pixel values level in the same way that deep-learning architectures do. We introduce a two layer, stacked, coder-pooler architecture where the first layer is specifically dedicated to extract, from our so-called Differential Vectors (DV) patches, some efficient, local low-level features more discriminative and efficient that their classic handcrafted counterpart. This first layer can advantageously replace any classic dense SIFT/HOG patches extraction stage. We demonstrate the effectiveness of our approach on three datasets: UIUC-Sports, Scene 15 and Caltech 101. We achieve excellent performances with simple linear classification while using basic coding and pooling schemes for both layers, i.e. Sparse Coding (SC) and Max-Pooling (MP) respectively.
FGF/MAPK signaling sets the switching threshold of a bistable circuit controlling cell fate decisions in embryonic stem cells

Intracellular transcriptional regulators and extracellular signaling pathways together regulate the allocation of cell fates during development, but how their molecular activities are integrated to establish the correct proportions of cells with particular fates is not known. Here we study this question in the context of the decision between the epiblast (Epi) and the primitive endoderm (PrE) fate that occurs in the mammalian preimplantation embryo. Using an embryonic stem cell (ESC) model, we discover two successive functions of FGF/MAPK signaling in this decision. First, the pathway needs to be inhibited to make the PrE-like gene expression program accessible for activation by GATA transcription factors in ESCs. In a second step, MAPK signaling levels determine the threshold concentration of GATA factors required for PrE-like differentiation, and thereby control the proportion of cells differentiating along this lineage. Our findings can be explained by a simple mutual repression circuit modulated by FGF/MAPK signaling. This might be a general network architecture to integrate the activity of signal transduction pathways and transcriptional regulators, and serve to balance proportions of cell fates in several contexts. Highlighted article: Quantitative measurements and mathematical modeling reveal the integration of transcription factor activity and extracellular signaling during fate decisions in ESCs.
Treatment of von Willebrand's disease

von Willebrand's disease is the most frequent of inherited bleeding disorders (1:100 affected individuals in the general population). The aim of therapy is to correct the dual defects of haemostasis, i.e. abnormal coagulation expressed by low levels of factor VIII and abnormal platelet adhesion expressed by a prolonged bleeding time. There are two main options available for the management of von Willebrand's disease: desmopressin and transfusion therapy with blood products. Desmopressin is the treatment of choice in patients with Type 1 von Willebrand's disease, who account for approximately 80% of cases. The pharmacological compound raises endogenous factor VIII and von Willebrand factor and corrects the prolonged bleeding time in most patients. In Type 3 and in the majority of Type 2 patients, desmopressin is not effective and it is necessary to resort to plasma concentrates containing factor VIII and von Willebrand factor. Treated with virucidal methods, these concentrates are currently effective and quite safe, even though the bleeding time defect is not always corrected by them. Platelet concentrates or desmopressin can be used as adjunctive treatments when poor correction of the bleeding time is associated with continued bleeding.
Low-loss, multimode 5-IDT SAW filter

Longitudinally coupled resonator filters provide unbalanced-balanced operation with wide bandwidth, low loss, arid high suppression levels. However, reducing the insertion loss in the 1.8-2.2 GHz range remains a challenging problem because at high frequencies the resistive losses arising from the relatively wide aperture of the filter may degrade the performance. A 5-interdigital transducer (IDT) filter has six gaps at which the periodicity of the grating is broken, resulting in additional loss due to scattering into the bulk. In this paper, we show that replacing the gaps between the transducers with short transducer sections having their pitch different from that of the main transducers reduces the insertion loss of the device. We present devices with balun operation at 1842 MHz with wide bandwidth of 4.5% and -40 dB suppression, with a minimum insertion loss less than 1 dB in the best devices, and a maximum insertion loss of -1.2 dB in the passband. The passband is quite flat, with <1 dB ripple. We also discuss the layout of the contact pads and the connections, and its effect on the device performance and balance characteristics.
Towards Distributional Semantics-Based Classification of Collocations for Collocation Dictionaries

Automatic acquisition of raw source material is of great aid for the compilation of dictionaries, and, in particular, of specialized dictionaries such as collocation dictionaries. The extraction of collocations from corpora has been actively worked on since the late eighties. The quality of the state-of-the-art extraction algorithms allows the lexi-cographers to obtain lists of collocations they can work with. However, mere lists of collocations are not sufficient. In collocation dictionaries, collocations are grouped semantically, which also presupposes a semantic classification of collocations. In this article, a distributional semantics-based model is proposed that classifies collocations with respect to broad semantic categories as encountered in dictionaries. In experiments with Spanish verb-noun and noun-adjective collocations from the lexicographic field of emotion nouns, it is shown that the use of features extracted from the context of col-locations is decisive for retrieval of draft entries for collocation dictionaries.
From requirements to implementation of ad-hoc social Web applications: an empirical pattern-based approach

Social technologies are transforming the Web to a place where users actively contribute to content production and opinion making. At B2E level, enterprises look at social networking tools as possible means for improving their operations thanks to the unstructured interaction they foster among employees. This paper tackles the problem of defining a quick and pragmatic approach for specifying the requirements of ad-hoc social web applications and for going down to their implementation. The approach is motivated by the fact that in most cases the ad-hoc needs that the company foresees are just a peculiar subset of the large set of requirements that are addressed by current social platforms. The main contributions of this work include: the classification of the social interactions that can be observed in virtual communities in a comprehensive taxonomy of requirements (based on a broad analysis of the existing social networking platforms, considering both public and enterprise solutions); the definition of requirement specification as a selection process upon this taxonomy; and the mapping to design and implementation artifacts through automatic generation of design models and of running code. This is implemented through a set of pattern-based model transformations that transform the requirements (specified according to a goal-oriented methodology) to UML models and then to running Java code. A validation of the effectiveness of the approach is provided, in terms of percentage of hand-written code with respect to the parts that can be automatically obtained through the transformations.
Triband Circularly Polarized Koch Fractal Boundary Microstrip Antenna

A novel single-layer single-probe-feed asymmetrical fractal boundary microstrip antenna is considered for triband circular polarization (CP) operation. Four different structures-without-slot (Ant1), rectangular (Ant2), fractal (Ant3), optimized-fractal-slot (Ant4)-are studied for multiband CP radiation. Perturbation in the structure for triband CP radiation is introduced by employing optimized asymmetrical Koch fractal curves as boundaries of a square patch and embedded rectangular slot. The generated 3-dB axial-ratio bandwidths of Ant 4 are 3.2%, 1.6%, and 3.0% at operating frequencies around 2.45, 3.4, and 5.8 GHz, respectively. Measured results that are in close agreement with the simulation results demonstrate that the proposed antenna is well suited for the WLAN/WiMAX wireless applications.