Miracle-dz/UniFAR-FTUs huggingface dataset:
A Broadband  $\pm 45^{\circ}$ Dual-Polarized Antenna With Y-Shaped Feeding Lines

A broadband ±45<sup>°</sup> dual-polarized base station antenna is proposed for 2G/3G/LTE bands. The proposed antenna has Y-shaped feeding lines to impart a wide impedance bandwidth to it, and a rectangular box-shaped reflector to enhance its stability in radiation patterns over the operating frequencies. A prototype of the proposed antenna is designed, fabricated, and tested. The measured results show achievement of impedance bandwidth of 45% for at both ports, port-to-port isolation 25 dB , a stable radiation pattern with 3-dB beamwidth 68<sup>°</sup>±2<sup>°</sup> at H-plane and V-plane, and a stable antenna gain of 8.2 ± 0.6 dBi from 1.7 to 2.7 GHz. A broadband dual-polarized antenna array with five elements for the band is developed for base station application. Measurements show achievement of array gain of 14.8 ± 1.4 dBi, 3-dB beamwidth 66.56<sup>°</sup>±2.22<sup>°</sup> at H-plane at port 1 and 64.85<sup>°</sup>±4.96<sup>°</sup> at port 2 with over the operating frequency band. Simulation results have a good agreement with measurement ones.
Genetic and Functional Analyses of SHANK2 Mutations Suggest a Multiple Hit Model of Autism Spectrum Disorders

Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmental disorders with a complex inheritance pattern. While many rare variants in synaptic proteins have been identified in patients with ASD, little is known about their effects at the synapse and their interactions with other genetic variations. Here, following the discovery of two de novo SHANK2 deletions by the Autism Genome Project, we identified a novel 421 kb de novo SHANK2 deletion in a patient with autism. We then sequenced SHANK2 in 455 patients with ASD and 431 controls and integrated these results with those reported by Berkel et al. 2010 (n = 396 patients and n = 659 controls). We observed a significant enrichment of variants affecting conserved amino acids in 29 of 851 (3.4%) patients and in 16 of 1,090 (1.5%) controls (P = 0.004, OR = 2.37, 95% CI = 1.23–4.70). In neuronal cell cultures, the variants identified in patients were associated with a reduced synaptic density at dendrites compared to the variants only detected in controls (P = 0.0013). Interestingly, the three patients with de novo SHANK2 deletions also carried inherited CNVs at 15q11–q13 previously associated with neuropsychiatric disorders. In two cases, the nicotinic receptor CHRNA7 was duplicated and in one case the synaptic translation repressor CYFIP1 was deleted. These results strengthen the role of synaptic gene dysfunction in ASD but also highlight the presence of putative modifier genes, which is in keeping with the “multiple hit model” for ASD. A better knowledge of these genetic interactions will be necessary to understand the complex inheritance pattern of ASD.
Empowering Automated Trading in Multi‐Agent Environments

Trading in the financial markets often requires that information be available in real time to be effectively processed. Furthermore, complete information is not always available about the reliability of data, or its timeliness—nevertheless, a decision must still be made about whether to trade or not. We propose a mechanism whereby different data sources are monitored, using Semantic Web facilities, by different agents, which communicate among each other to determine the presence of good trading opportunities. When a trading opportunity presents itself, the human traders are notified to determine whether or not to execute the trade. The Semantic Web, Web Services, and URML technologies are used to enable this mechanism. The human traders are notified of the trade at the optimal time so as not to either waste their resources or lose a good trading opportunity. We also have designed a rudimentary prototype system for simulating the interaction between the intelligent agents and the human beings, and show some results through experiments on this simulation for trading of the Chicago Board Options Exchange (CBOE) options.
On obstruction-free transactions

This paper studies obstruction-free software transactional memory systems (OFTMs). These systems are appealing, for they combine the atomicity property of transactions with a liveness property that ensures the commitment of every transaction that eventually encounters no contention. We precisely define OFTMs and establish two of their fundamental properties. First, we prove that the consensus number of such systems is 2. This indicates that OFTMs cannot be implemented with plain read/write shared memory, on the one hand, but, on the other hand, do not require powerful universal objects, such as compare-and-swap. Second, we prove that OFTMs cannot ensure disjoint-access-parallelism (in a strict sense). This may result in artificial "hot spots" and thus limit the performance of OFTMs.
Fabric Hand Evaluation Using Qualitative Data

We tried to evaluate the objective hand value of a fabric by using not numerical but only qualitative data for its properties, such as large/small, high/low, excellent/poor and so on. In the analysis, SHINAYAKASA (Flexibility with soft feeling) of women’s dress fabrics defined in the KES method was used as an objective measure of a sample fabric. The measured data with a KES apparatus were converted to the qualitative values by comparing the measured data with settled standards. These qualitative data of 187 samples were statistically analyzed by the quantification theory I. The multiple correlation coefficient between SHINAYAKASA of the KES method and that estimated by using the parameters obtained in the analysis was 0.92. The number of items used in the analysis was largely reduced from 16 to 7, that is, WT, B, G, WC, MMD, SMD, and W. These results indicate that the objective evaluation of fabric hand using qualitative data can be in practical use at a similar level of the KES method.
Unfalsified Visual Servoing for Simultaneous Object Recognition and Pose Tracking

In a complex environment, simultaneous object recognition and tracking has been one of the challenging topics in computer vision and robotics. Current approaches are usually fragile due to spurious feature matching and local convergence for pose determination. Once a failure happens, these approaches lack a mechanism to recover automatically. In this paper, data-driven unfalsified control is proposed for solving this problem in visual servoing. It recognizes a target through matching image features with a 3-D model and then tracks them through dynamic visual servoing. The features can be falsified or unfalsified by a supervisory mechanism according to their tracking performance. Supervisory visual servoing is repeated until a consensus between the model and the selected features is reached, so that model recognition and object tracking are accomplished. Experiments show the effectiveness and robustness of the proposed algorithm to deal with matching and tracking failures caused by various disturbances, such as fast motion, occlusions, and illumination variation.
Rapid detection of subtelomeric deletion/duplication by novel real‐time quantitative PCR using SYBR‐green dye

Telomeric chromosome rearrangements may cause mental retardation, congenital anomalies, miscarriages, and hematological malignancies. Automated detection of subtle deletions and duplications involving telomeres is essential for high‐throughput screening procedures, but impractical when conventional cytogenetic methods are used. Novel real‐time PCR quantitative genotyping of subtelomeric amplicons using SYBR‐green dye allows high‐resolution screening of single copy number gains and losses by their relative quantification against a diploid genome. To assess the applicability of the technique in the screening and diagnosis of subtelomeric imbalances, we describe here a blinded study in which DNA from 20 negative controls and 20 patients with known unbalanced cytogenetic abnormalities involving at least one or more telomeres were analyzed using a novel human subtelomere‐specific primer set, producing altogether 86 amplicons, in the SYBR‐green I‐based real‐time quantitative PCR screening approach. Screening of the DNA samples from 20 unrelated controls for copy number polymorphism do not detect any polymorphism in the set of amplicons, but single‐copy‐number gains and losses were accurately detected by quantitative PCR in all patients, except the copy number alterations of the subtelomeric p‐arms of the acrocentric chromosomes in two cases. Furthermore, a detailed mapping of the deletion/translocation breakpoint was demonstrated in two cases by novel real‐time PCR “primer‐jumping. ” Because of the simplicity and flexibility of the SYBR‐green I‐based real‐time detection, the primer‐set can easily be extended, either to perform further detailed molecular characterization of breakpoints or to include amplicons for the detection and/or analysis of syndromes that are associated with genomic copy number alterations, e.g., deletion/duplication‐syndromes and malignant cancers. Hum Mutat 23:368–378, 2004 © 2004 Wiley‐Liss, Inc.
Hitchhiking with forests: population genetics of the epiphytic lichen Lobaria pulmonaria in primeval and managed forests in southeastern Europe

Availability of suitable trees is a primary determinant of range contractions and expansions of epiphytic species. However, switches between carrier tree species may blur co-phylogeographic patterns. We identified glacial refugia in southeastern Europe for the tree-colonizing lichen Lobaria pulmonaria, studied the importance of primeval forest reserves for the conservation of genetically diverse populations and analyzed differences in spatial genetic structure between primeval and managed forests with fungus-specific microsatellite markers. Populations belonged to either of two genepools or were admixed. Gene diversity was higher in primeval than in managed forests. At small distances up to 170 m, genotype diversity was lower in managed compared with primeval forests. We found significant associations between groups of tree species and two L. pulmonaria genepools, which may indicate “hitchhiking” of L. pulmonaria on forest communities during postglacial migration. Genepool B of L. pulmonaria was associated with European Beech (Fagus sylvatica) and we can hypothesize that genepool B survived the last glaciation associated within the refuge of European Beech on the Coastal and Central Dinarides. The allelic richness of genepool A was highest in the Alps, which is the evidence for a northern refuge of L. pulmonaria. Vicariant altitudinal distributions of the two genepools suggest intraspecific ecological differentiation.
Calibration of a Neutron Hydroprobe for Moisture Measurements in Small-Diameter Steel-Cased Boreholes

Computation of soil moisture content from thermalized neutron counts for the T-Farm Interim cover requires a calibration relationship but none exists for 2-in tubes. A number of calibration options are available for the neutron probe, including vendor calibration, field calibration, but none of these methods were deemed appropriate for the configuration of interest. The objective of this work was to develop a calibration relation for converting neutron counts measured in 2-in access tubes to soil water content. The calibration method chosen for this study was a computational approach using the Monte Carlo N-Particle Transport Code (MCNP). Model calibration was performed using field measurements in the Hanford calibration models with 6-in access tubes, in air and in the probe shield. The bet-fit model relating known water content to measured neutron counts was an exponential model that was essentially equivalent to that currently being used for 6-in steel cased wells. The MCNP simulations successfully predicted the neutron count rate for the neutron shield and the three calibration models for which data were collected in the field. However, predictions for air were about 65% lower than the measured counts . This discrepancy can be attributed to uncertainties in the configuration used for the more » air measurements. MCNP-simulated counts for the physical models were essentially equal to the measured counts with values. Accurate prediction of the response in 6-in casings in the three calibration models was motivation to predict the response in 2-in access tubes. Simulations were performed for six of the seven calibration models as well as 4 virtual models with the entire set covering a moisture range of 0 to 40%. Predicted counts for the calibration models with 2-in access tubes were 40 to 50% higher than in the 6-inch tubes. Predicted counts for water were about 60% higher in the 2-in tube than in the 6-in tube. The discrepancy between the 2-in and 6-in tube can be attributed to the smaller air gap between the probe and the 2-in access tube. The best-fit model relating volumetric water content to count ratio (CR) is of the form e^A x CR^B with A=0.3596 ± 0.0216 and B=0.4629 ± 0.0629 and r^2= 0.9998. It is recommended that the calibration function based on the count ratio, rather than raw counts, be used to avoid the effects of electronic noise in the probe that may arise due to the conditions at the time of measurement. These results suggest that the MCNP code can be used to extend calibrations for the neutron probe to different conditions including access tube size as well as composition without the need to construct additional physical models. « less
Neuropathological Similarities and Differences between Schizophrenia and Bipolar Disorder: A Flow Cytometric Postmortem Brain Study

Recent studies suggest that schizophrenia (SCH) and bipolar disorder (BPD) may share a similar etiopathology. However, their precise neuropathological natures have rarely been characterized in a comprehensive and quantitative fashion. We have recently developed a rapid, quantitative cell-counting method for frozen unfixed postmortem brains using a flow cytometer. In the present study, we not only counted stained nuclei, but also measured their sizes in the gray matter of frontopolar cortices (FPCs) and inferior temporal cortices (ITCs) from patients with SCH or BPD, as well as in that from normal controls. In terms of NeuN(+) neuronal nuclei size, particularly in the reduced densities of small NeuN(+) nuclei, we found abnormal distributions present in the ITC gray matter of both patient groups. These same abnormalities were also found in the FPCs of SCH patients, whereas in the FPCs of BPD patients, a reduction in oligodendrocyte lineage (olig2(+)) cells was much more common. Surprisingly, in the SCH FPC, normal left-greater-than-right asymmetry in neural nuclei densities was almost completely reversed. In the BPD FPC, this asymmetry, though not obvious, differed significantly from that in the SCH FPC. These findings indicate that while similar neuropathological abnormalities are shared by patients with SCH or BPD, differences also exist, mainly in the FPC, which may at least partially explain the differences observed in many aspects in these disorders.
An Investigation of Effectiveness and Possibility to Automatic Construction of Estimation Patterns Using Customer Reviews

Recently, the customer reviews became many important and useful information about evaluation and/or needs of customers. Many research about sentiment analysis for the customer reviews were proposed aggressively. In this paper, we focus on evaluation sentence patterns and the words appearing in them to estimate sentiment values of texts, and compared with a Bag-of-Words-based SVM classification. We investigated how many feature words obtained by SVM are included in the words extracted from the sentences of evaluation sentence patterns, and roughly 75% are included, which suggests that to just focus on a limited number sentences of evaluation sentence patterns can produce a comparable result even in its early stage.
Management of Flexible Schema Data in RDBMSs - Opportunities and Limitations for NoSQL -

1. ABSTRACT RDBMSs are designed to manage well-structured data requiring users to design a schema before storing and querying data. This is the ‘schema first, data later’ approach. However, there are significant amount of unstructured data and semi-structured data that cannot be effectively modelled this way. Even if certain parts of the data can be modelled using schema, the inclusion of all fields would typically lead to a very large schema with many optional fields and with frequent schema evolution as data instances vary widely and evolve fast. Obviously, these data requires the ‘data first, schema later/never’ approach. We call these data Flexible Schema Data (FSD) . In this paper, we describe the engineering principles and practices to manage FSD in RDBMSs to meet FSD’s unique requirements and challenges. We describe the limitations and issues of current practices and potential research opportunities. Having a single data platform for managing both well-structured data and FSD is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues.
Overexpression of miR-595 and miR-1246 in the Sera of Patients with Active Forms of Inflammatory Bowel Disease

Background:MicroRNAs (miRNAs) are dysregulated in the inflammatory bowel diseases, Crohn's disease (CD) and ulcerative colitis (UC), which arise due to dysfunctional host–microbe interactions and impairment of the barrier function of the intestine. Here, we sought to determine whether circulating miRNAs are biomarkers of active colonic CD and UC and can provide insights into disease pathogenesis. Comparison was made with serum miRNAs in patients with rheumatoid arthritis (RA). Methods:Total serum RNA from patients with colonic CD, UC, and RA, and normal healthy adults was screened for disease-associated miRNAs by microarray analysis, with subsequent validation by quantitative reverse-transcription polymerase chain reaction. MiRNA targets were identified by luciferase reporter assays. Results:MiR-595 and miR-1246 were significantly upregulated in the sera of active colonic CD, UC, and RA patients, compared with healthy subjects; and in active colonic CD and UC compared with inactive disease. Luciferase reporter assays indicated that miR-595 inhibits the expression of neural cell adhesion molecule-1 and fibroblast growth factor receptor 2. Conclusions:Serum miR-595 and miR-1246 are biomarkers of active CD, UC, and RA. These findings gain significance from reports that miR-595 impairs epithelial tight junctions, whereas miR-1246 indirectly activates the proinflammatory nuclear factor of activated T cells. miR-595 targets the cell adhesion molecule neural cell adhesion molecule-1, and fibroblast growth factor receptor 2, which plays a key role in the differentiation, protection, and repair of colonic epithelium, and maintenance of tight junctions. miR-595 and miR-1246 warrant testing as potential targets for therapeutic intervention in the treatment of inflammatory bowel disease.
Decomposition of a speech signal wavelet packet using an entropy criterion

The sound signals caterers have long do an analysis and time-frequency representation of sounds, but they still faced the problem of compromise between adaptation to different signal components. Indeed, the audio signals may include components with very different time-frequency characteristics and which each require a different window size. As a result, all these physical properties justify the need for time-frequency representation with adaptive resolution. In this paper, we propose a new time-frequency plane representations for finite energy signals. Firstly, we describe the notion of entropy as a time-frequency representation criterion and the Heisenberg principle. Then we present an extension of the wavelet-packets, and the corresponding time-frequency representations. We called them Σ-dyadic discreet wavelet bases. Connection between Finite Impulse Response filters, Prefect Reconstruction Filter Banks and discreet wavelet bases have been established by many authors. Consequently, Σ-dyadic discreet wavelet bases allow conceiving a new family of non uniform filter banks.
Modelling and numerical simulation of thick sheet double slitting process using continuum damage mechanics

This work concerns the modelling and numerical simulation of specific thick sheet cutting process using advanced constitutive equations accounting for elasto-plasticity with mixed hardening fully coupled with isotropic ductile damage. First, the complex kinematics of the different tools is modelled with specific boundary conditions. Second, the fully and strongly coupled constitutive equations are summarized and the associated numerical aspects are shortly presented. An inverse material identification procedure is used to determine the convenient values of the material parameters. Finally, the double slitting process is numerically simulated and the influence of the main technological parameters studied focusing on the cutting forces.
Learning to Disambiguate Potentially Subjective Expressions

The goal of this work is recognizing opinionated and evaluative (subjective) language in text. The ability to recognize such language would be beneficial for many NLP applications such as question answering, information extraction, summarization, and genre detection. This paper focuses on disambiguating potentially subjective expressions in context, based on the density of other clues in the surrounding text.
Considerations for clinical trial design in older adults with cancer

Cancer is a disease of aging, and most cancer diagnoses and deaths worldwide occur in older adults. Although people aged 65 years and older represent less than 10% of the world’s population, they account for 48% of new cancer cases and 58% of cancer-related deaths globally [1]. In the United States, for example, the median age at the time of a cancer diagnosis is 66 years, and more than a quarter of individuals diagnosed with cancer are 75 years of age or older [2]. However, despite the high burden of cancer in older individuals, high-quality evidence regarding the optimal treatment strategies in older adults with cancer is scarce. Older patients are vastly underrepresented in both cooperative group clinical trials and in US Food and Drug Administration registration trials [3], leading to a situation in which most cancer treatments are developed on younger, healthier cohorts that fail to adequately represent real-world patient populations. Several organizations, including the American Society of Clinical Oncology [3], the International Society of Geriatric Oncology, and the European Organization for Research and Treatment of Cancer [4], have issued recommendations aimed at improving the evidence base for treating older patients with cancer by increasing their enrollment in clinical trials and improving trial design. These recommendations include the utilization of geriatric assessment tools in clinical trials; expanding the eligibility criteria for therapeutic studies; designing trials for vulnerable or frail individuals; selecting end points which may be of particular relevance for older adults; and utilizing novel trial designs.
Fully-Coupled Two-Stream Spatiotemporal Networks for Extremely Low Resolution Action Recognition

A major emerging challenge is how to protect people's privacy as cameras and computer vision are increasingly integrated into our daily lives, including in smart devices inside homes. A potential solution is to capture and record just the minimum amount of information needed to perform a task of interest. In this paper, we propose a fully-coupled two-stream spatiotemporal architecture for reliable human action recognition on extremely low resolution (e.g., 1216 pixel) videos. We provide an efficient method to extract spatial and temporal features and to aggregate them into a robust feature representation for an entire action video sequence. We also consider how to incorporate high resolution videos during training in order to build better low resolution action recognition models. We evaluate on two publicly-available datasets, showing significant improvements over the state-of-the-art.