Miracle-dz/UniFAR-FTUs huggingface dataset:
Genus One Partition Function of the Calabi-Yau d-Fold embedded in ${CP^{d+1}}$

For a one-parameter family of Calabi-Yau d-fold M embedded in ${{CP}^{d+1}}$, we consider a new quasi-topological field theory ${A^{\ast}}$(M)-model compared with the $A$(M)-model. The two point correlators on the sigma model moduli space (the hermitian metrics) are analyzed by the $A{A^{\ast}}$-fusion on the world sheet sphere. A set of equations of these correlators turns out to be a non-affine A-type Toda equation system for the d-fold M. This non-affine property originates in the vanishing first Chern class of M. Using the results of the $A{A^{\ast}}$-equation, we obtain a genus one partition function of the sigma model associated to the M in the recipe of the holomorphic anomaly. By taking an asymmetrical limit of the complexified {\kae} parameters ${\bar{t}\rightarrow \infty}$ and $t$ is fixed, the ${A^{\ast}}$(M)-model part is decoupled and we can obtain a partition function (or one point function of the operator ${{\cal O}^{(1)}}$ associated to a {\kae} form of M) of the $A$(M)-matter coupled with the topological gravity at the stringy one loop level. The coefficients of the series expansion with respect to an indeterminate $q:={e^{2\pi i t}}$ are integrals of the top Chern class of the vector bundle {\Large $\nu $} over the moduli space of stable maps with definite degrees.
IMPROVING WEB QUERY CLASSIFICATION BY LATENT TOPIC ANALYSIS

As Web search engines play an important role in hel ping people find required information from massive Web data, the Web query cl assification (WQC) problem becomes an important research issue. Contrast to tr aditional classification problems, WQC is to classify Web queries into relevant catego ries of a Web taxonomy. In addition to the typical challenge of processing sho rt and ambiguous queries, WQC faces the practical difficulty of classifying queri s into more than one category. In this paper, we propose a semantic-based scheme that uses the Latent Dirichlet Allocation (LDA) model to exploit the latent topic semantics o f expanded queries and Web categories for WQC. To evaluate the effectiveness, we have conducted experiments in comparison with the algorithm proposed by Shen et al. in 2005. The results show that our approach has 6.5% and 6.6% improvements in the top-5 classification results for precision and F1, respectively. Keyword: Web Query Classification, Query Expansion, Latent Topic Analysis, Weighted Ensemble
A Similarity Measure Using Smallest Context-Free Grammars

This work presents a new approximation for the Kolmogorov complexity of strings based on compression with smallest Context Free Grammars (CFG). If, for a given string, a dictionary containing its relevant patterns may be regarded as a model, a Context-Free Grammar may represent a generative model, with all of its rules (and as a consequence its own size) being meaningful. Thus, we define a new complexity approximation which takes into account the size of the string model, in a representation similar to the Minimum Description Length. These considerations result in the definition of a new compression-based similarity measure: its novelty lies in the fact that the impact of complexity overestimations, due to the limits that a real compressor has, can be accounted for and decreased.
An Extensible Message Layer for High-Performance Clusters

Resource rich clusters are an emerging category of computational platform where cluster nodes have both CPUs as well as highperformance I/O cards. These clusters target specific applications such as digital libraries, web servers, and multimedia kiosks. The presence of communication endpoints at locations other than the host CPU requires a re-examination of how middleware for these clusters should be constructed. A key issue of middleware design is the management of flow control for the reliable delivery of messages. We propose using a network interface based optimistic flow control scheme to address resource rich cluster requirements. We implement this functionality with a message layer called GRIM, and compare its general performance to other well-known message layers. This implementation suggests that the necessary middleware functionality can not only be constructed efficiently, but also in a way that provides additional middleware benefits.
A new five-level voltage-source-inverter using unidirectional switching cells and a coupled-inductor

Recently, a new five-level (5L) inverter has been developed. It is named 5L-USC1 and was based on the use of four 2L unidirectional switching cells (USC) and a coupled-inductor (CI) for each phase. This topology was derived from three-level Neutral-Point-Clamped (3L-NPC) inverter. In the paper a new 5L inverter based on basic USC is presented. It is named 5L-USC3 and is based on the use of six 2L unidirectional switching cells and a coupled-inductor for each phase. The proposed topology is derived from 3L-Active-NPC inverter by separation the bidirectional switching cells into two USC groups. The new 5L topology has more degrees of freedom in comparison with the recent 5L-USC1 inverter. As a result, the apparent switching frequency of the output voltage is four times the switching frequency of power devices and so, the current ripple is reduced by half. The apparent switching frequency in each inductor winding is twice the switching frequency of the power devices and thus, the magnetically coupled-inductor windings are considerably reduced.
Moving the shared memory closer to the processors DDM

Multiprocessors with shared memory are considered more general and easier to program than message-passing machines. The scalability is, however, in favor of the latter. There are a number of proposals showing how the poor scalability of shared memory multiprocessors can be improved by the introduction of private caches attached to the processors. These caches are kept consistent with each other by cache-coherence protocols. In this paper we introduce a new class of architectures called Cache Only Memory Architectures (COMA). These architectures provide the programming paradigm of the shared-memory architectures, but are believed to be more scal- able. COMAs have no physically shared memory; instead, the caches attached to the processors containallthe memory in the system, and their size is therefore large. A datum is allowed to be in any or many of the caches, and will automat- ically be moved to where it is needed by a cache-coherence protocol, which also ensures that the last copy of a datum is never lost. The location of a datum in the machine is completely decoupled from its address. We also introduce one example of COMA: the Data Diffusion Machine (DDM). The DDM is based on a hierarchical network structure, with processor/memory pairs at its tips. Remote accesses generally cause only a limited amount of traffic over a limited part of the machine. The architecture is scalable in that there can be any number of levels in the hierarchy, and that the root bus of the hierarchy can be implemented by several buses, increasing the bandwidth.
A filter-and-fan approach to the multi-trip vehicle routing problem

The multi-trip vehicle routing problem (MTVRP) is studied whose task is to determine both the multiple trips to satisfy all the customers' demands and the assignment of the trips to vehicles with the objective of minimizing the travel cost of the trips. For this problem, an algorithm based on filter-and-fan approach is proposed. Tabu search is adopted to initialize the procedure and provide useful moves to filter-and-fan searching tree, so that tabu search is diversified by filter-and-fan searching for guiding it to a difference region of the solution space. Then the solution is improved by the filter-and-fan approach which can be viewed as a search strategy on abbreviated neighborhood tree. Computational results are carried out to illustrate the proposed algorithm is effective and efficient.
Survivability in optical network with differential delay using dynamic buffer size

Providing the survivability in optical networks over wavelength-division multiplexing (WDM) is a critical concern. The design issue on WDM network is to minimize the buffer size and providing survivability based on differential delay and Multipath provisioning with the support of Virtual Concatenation (VC). In this paper, we propose the Shared Protection of the Largest Individual Traversed link (SPLIT) for survivable multipath and MFI (Multiframe Indicator) Buffer to reduce the buffer requirement at the receiver end of the VC with the help of minimized differential delay.
Relationships between Foreign Language Teachers’ Cognitions and Actions: Evidence from Instructors at Tertiary-level

Ogretmen bilisi ve ogretmen eylemi, ogretimin birbiriyle iliskili iki temel kavramidir ve bu nedenle ogretimin dogasini ve basari uzerindeki etkisini anlayabilmek icin birlikte ve derinlemesine incelenmeleri gerekir. Dil ogretmenlerinin bilisleri ve eylemleri arasindaki iliskiyi incelemek, dilin ogretildigi ortamlarda yurutulen mevcut ve gelecekteki uygulamalari bilgilendirme ve yonlendirme potansiyelini tasir. Bu noktadan hareketle, bu iliskisel calisma, dil ogretmenlerinin dil ogrenmeye dair bilislerinin dil ogretim uygulamalarini hangi bicimlerde yordayabilecegini arastirmayi amaclamistir. Veriler, Turkiye’nin cesitli yuksekogretim kurumlarinda gorevli 606 ogretim elemanindan, kesitsel tarama envanteri kullanilarak toplanmis, kanonik korelasyon yontemi ile analiz edilmistir. Verilerin analizi asamasinda cok degiskenli normallik, dogrusallik (degiskenler ve dogrusal bilesenler arasinda), es varyanslik ve coklu dogrusal baglanti boyutlari da test edilmistir. Calismanin genel sonuclari, dil ogrenmede oncelikler konusunda edinc odakli bir yaklasim benimseyen ve onceden belirlenmis kurallari soylendigi gibi uygulayan yurutucu ogrencileri tercih eden katilimcilarin, geleneksel egitim anlayisina daha yatkin olabilecegini ve ogretimi planlama ve yanlis duzeltme konusunda iletisimsel uygulamalardan uzaklasabilecegini ortaya koymustur. Benzer sekilde, kendi onceliklerine karar verebilen kural koyucu ogrencileri tercih etmeyen katilimcilarin da ogretimi planlama ve yanlis duzeltme konusunda iletisimsel uygulamalardan uzaklasabilecegi ve geleneksel egitim anlayisina daha yatkin olabilecegi gozlenmistir.
Characterization of methicillin-resistant non-Staphylococcus aureus staphylococci carriage isolates from different bovine populations.

OBJECTIVES This study aimed at investigating bovine non-Staphylococcus aureus staphylococci for their role as a potential reservoir for methicillin resistance. METHODS Nasal swab samples were collected from 150 veal calves on 15 veal farms, 100 dairy cows on 10 dairy farms and 100 beef cows on 10 beef farms. Suspected staphylococcal isolates were investigated by PCR for the presence of the classic mecA and mecA(LGA251). Methicillin-resistant non-S. aureus staphylococci (MRNAS) were genotypically identified and were characterized by broth microdilution antimicrobial susceptibility testing and staphylococcal cassette chromosome mec (SCCmec) typing. RESULTS The MRNAS (n = 101) carriage rate was estimated as 30.29% (95% CI 6.14%-74.28%) in veal calves, 13.1% (95% CI 1.28%-63.72%) in dairy cows and 24.8% (95% CI 11.97%-44.42%) in beef cows. Carriage rates were not significantly different between the three populations (P > 0.05). mecA(LGA251) was not detected. Most (n = 80) MRNAS were identified as Staphylococcus sciuri, Staphylococcus lentus or Staphylococcus fleurettii. Resistance to aminoglycosides, macrolide-lincosamide-streptogramin antimicrobials, tetracycline and ciprofloxacin was frequently detected. Two linezolid-resistant MRNAS from veal calves carried the multidrug-resistance gene cfr. SCCmec cassettes of type III predominated (n = 46); another 40 SCCmec cassettes harboured a class A mec complex without identifiable ccr complex; type IVa, type V and several other non-typeable cassettes were detected in low frequencies, especially in methicillin-resistant Staphylococcus epidermidis. CONCLUSIONS The SCCmec types predominating in bovine MRNAS differ from those mostly detected in livestock-associated methicillin-resistant S. aureus strains. Yet, the detection of cfr and the high level of other antimicrobial resistances suggest a potentially important role of bovine MRNAS as a reservoir for resistance determinants other than SCCmec.
Paranasal sinusitis detection using thermal imaging

This paper focuses on the identification of paranasal sinusitis using thermal imaging. Thermal imaging is a non-invasive technique which provides a 2D temperature profile of a body under measurement. The experiments have been performed by IR camera on eight subjects of different age group under consideration of constant ambient temperature and resting position. The Region of Interest for imaging is human face. The average temperature of different parts of a face is measured by circle and polygon analysis. The line analysis is performed horizontally and vertically across the nose to show the temperature variations between nose and adjacent parts to it. Image thresholding is done by using Otsu's method to differentiate between normal and sinusitis affected patients. The preliminary investigation results show encouraging signs for use of thermal imaging for paranasal sinusitis.
Deep Spatial Pyramid Ensemble for Cultural Event Recognition

Semantic event recognition based only on image-based cues is a challenging problem in computer vision. In order to capture rich information and exploit important cues like human poses, human garments and scene categories, we propose the Deep Spatial Pyramid Ensemble framework, which is mainly based on our previous work, i.e., Deep Spatial Pyramid (DSP). DSP could build universal and powerful image representations from CNN models. Specifically, we employ five deep networks trained on different data sources to extract five corresponding DSP representations for event recognition images. For combining the complementary information from different DSP representations, we ensemble these features by both "early fusion" and "late fusion". Finally, based on the proposed framework, we come up with a solution for the track of the Cultural Event Recognition competition at the ChaLearn Looking at People (LAP) challenge in association with ICCV 2015. Our framework achieved one of the best cultural event recognition performance in this challenge.
Detection of primitive collective behaviors in a crowd panic simulation based on a multi-agent approach

We propose an approach towards multi-agent system for simulation and detection of primitive collective behaviors emerging from a crowd in panic. This paper presents various works on which our method is based, by methods of planning and decisions allowing emergence of primitive collective behaviors. We present then an implementation in a virtual environment and detection experiments of emergent collective behaviors by recognition and identification methods of the situations awareness in the domain of Data Fusion. Measurements and human evaluation of results show the utility of simulation and detection tools implemented. That would be applied to some current monitoring system, such as envisaging behavior anomalies according to specific scenarios
An S-Band High Linearity Low Noise PHEMT MMIC Amplifier

An S-Band high linearity and Low Noise PHEMT MMIC Amplifier for general application and WiMax band is demonstrated. This two-stage amplifier is designed to fully match for a 50 ohm input and output impedance. The amplifier has achieved 19dB small-signal gain, a noise figure of 1.3 dB, and a 24dBm 1-dB gain compression power. In addition, high linearity with 35dBm third-order intercept point and Recovery time of 50ns at the S-Band is achieved. The input and output return losses are 12 dB.
radIotelemetry measurement of heart rate, blood pressure and locomotory actIvIty of rats In physIologIcal experIment

evaluation of physiological traits in freely moving animals represents an innovative approach allowing physiological studies in undisturbed animals without interference with handling and stress. This approach is important in behavioural sciences and research on physiological basis of cardiovascular diseases. Recently, there is only one such system in the world that enables simultaneous measurement of blood pressure, heart rate, body temperature and electroencephalography together with the locomotory activity which was developed by the Data sciences International (st. Paul, Minessota, Usa). In our laboratory we have introduced and validated this system in laboratory rats and hereby present results on blood pressure, heart rate and locomotory activity in rats exposed to stabile light – dark cycles.
Combined Cubital and Carpal Tunnel Release Results in Symptom Resolution Outside of the Median or Ulnar Nerve Distributions

BACKGROUND Resolution of symptoms including pain, numbness, and tingling outside of the median nerve distribution has been shown to occur following carpal tunnel release. We hypothesized that a similar effect would be found after combined release of the ulnar nerve at the elbow with simultaneous release of the median nerve at the carpal tunnel. METHODS 20 patients with combined cubital and carpal tunnel syndrome were prospectively enrolled. The upper extremity was divided into six zones and the location of pain, numbness, tingling, or strange sensations was recorded pre-operatively. Two-point discrimination, Semmes-Weinstein monofilament testing, and validated questionnaires were collected pre-operatively and at six-week follow-up. RESULTS Probability of resolution was greater in the median nerve distribution than the ulnar nerve for numbness (71% vs. 43%), tingling (86% vs. 75%). Seventy percent of the cohort reported at least one extra-anatomic symptom pre-operatively, and greater than 80% of these resolved at early follow-up. There was a decrease in pain as measured by validated questionnaires. CONCLUSION This study documents resolution of symptoms in both extra-ulnar and extra-median distributions after combined cubital and carpal tunnel release. Pre-operative patient counseling may therefore include the likelihood of symptomatic improvement in a non-expected nerve distribution after this procedure, assuming no other concomitant pathology which may cause persistent symptoms. Future studies could be directed at correlating pre-operative disease severity with probability of symptom resolution using a larger population.
Diabetes Self-Management Education: Miles to Go

This meta-analysis assessed how successfully Diabetes Self-Management Education (DSME) interventions help people with type 2 diabetes achieve and maintain healthy blood glucose levels. We included 52 DSME programs with 9,631 participants that reported post-intervention A1c levels in randomized controlled trials. The training conditions resulted in significant reductions in A1c levels compared to control conditions. However, the impact of intervention was modest shifting of only 7.23% more participants from diabetic to pre-diabetic or normal status, relative to the control condition. Most intervention participants did not achieve healthy A1c levels. Further, few DSME studies assessed long-term maintenance of A1c gains. Past trends suggest that gains are difficult to sustain over time. Our results suggested that interventions delivered by nurses were more successful than those delivered by non-nursing personnel. We suggest that DSME programs might do better by going beyond procedural interventions. Most DSME programs relied heavily on rules and procedures to guide decisions about diet, exercise, and weight loss. Future DSME may need to include cognitive self-monitoring, diagnosis, and planning skills to help patients detect anomalies, identify possible causes, generate corrective action, and avoid future barriers to maintaining healthy A1c levels. Finally, comprehensive descriptions of DSME programs would advance future efforts.
A Value-Added Predictive Defect Type Distribution Model Based on Project Characteristics

In software project management, there are three major factors to predict and control; size, effort, and quality. Much software engineering work has focused on these. When it comes to software quality, there are various possible quality characteristics of software, but in practice, quality management frequently revolves around defects, and delivered defect density has become the current de facto industry standard. Thus, research related to software quality has been focused on modeling residual defects in software in order to estimate software reliability. Currently, software engineering literature still does not have a complete defect prediction for a software product although much work has been performed to predict software quality. On the other side, the number of defects alone cannot be sufficient information to provide the basis for planning quality assurance activities and assessing them during execution. That is, for project management to be improved, we need to predict other possible information about software quality such as in-process defects, their types, and so on. In this paper, we propose a new approach for predicting the distribution of defects and their types based on project characteristics in the early phase. For this approach, the model for prediction was established using the curve-fitting method and regression analysis. The maximum likelihood estimation (MLE) was used in fitting the Weibull probability density function to the actual defect data, and regression analysis was used in identifying the relationship between the project characteristics and the Weibull parameters. The research model was validated by cross-validation.
Highlights from the latest articles in nanomedicine.

B Murali Venkatesan1,2, OH Elibol 3, B Dorvel1,4, K Park3 & R Bashir1,2,5† Author for correspondence 1Micro and Nanotechnology Laboratory, University of Illinois, Urbana-Champaign, Urbana, IL, USA 2Department of Electrical and Computer Engineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA 3Birck Nanotechnology Center, Purdue University, West Lafayette, IN, USA 4BioPhysics Program, University of Illinois, Urban-Champaign, Urbana, IL, USA 5Department of Bioengineering, University of Illinois, Urbana-Champaign, Urbana, IL, USA Single molecule DNA synthesis can be detected electronically
Demand Reduction in Multi-Unit Auctions with Varying Numbers of Bidders: Theory and Evidence from a Field Experiment

Recent auction theory and experimental results document strategic demand reduction by bidders in uniform-price auctions. The present article extends this area of research to consider the effects of varying the number of bidders. Our theoretical model predicts that demand reduction should decrease with an increase in the number of bidders. Considerable demand reduction remains even in the asymptotic limit, although truthful bidding yields profits very close to those of equilibrium play. We experimentally confirm several of our predictions by examining bidding behavior of subjects in an actual marketplace, auctioning dozens of sportscards using both uniform-price and Vickrey auction formats.
Asynchronous Completion Token An Object Behavioral Pattern for Efficient Asynchronous Event Handling

Contemporary applications must respond to many types of events, ranging from user interface notiﬁcations to network messages. Delay-sensitive applications, such as network management systems, oftenperform long-runningoperations asynchronously to avoid blocking the processing of other pending events. When these asynchronous operations complete, applications may need more information than simply the notiﬁcation itself to properly handle the event. This paper describes the Asynchronous Completion Token pattern, which allows applications to efﬁciently associate state with the completion of asynchronous operations.