Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Resource Allocation for Multicast OFDM Systems with Multiple Transmit Antennas

We evaluate the impact of multiple transmit antennas on the performance of multicast OFDM systems by proposing a suboptimal low complexity algorithm. Associated with a powerful erasure code, it is possible to increase the data rate of multicast OFDM systems by selecting for each subcarrier to the users with a good channel condition. We show that the resource allocation which includes the precoding vector selection, subcarrier allocation and bit loading is a difficult optimization problem. We propose a suboptimal algorithm to solve this problem by avoiding the optimization to reduce complexity. When the users are not symmetrically distributed around the base station, we add a fair scheduler to guarantee that each user receives the same amount of data. We present simulation results where we compare the proposed multicast systems with the classical multicast OFDM systems. When the users are symmetrically distributed around the base station, the gain is rather small, whereas when the users are non-symmetrically distributed, the proposed algorithm outperforms OFDM systems with subcarrier allocation.
Noise-resistant Unsupervised Object Segmentation in Multi-view Indoor Point Clouds

3D object segmentation in indoor multi-view point clouds (MVPC) is challenged by a high noise level, varying point density and registration artifacts. This severely deteriorates the segmentation performance of state-ofthe-art algorithms in concave and highly-curved point set neighborhoods, because concave regions normally serve as evidence for object boundaries. To address this issue, we derive a novel robust criterion to detect and remove such regions prior to segmentation so that noise modelling is not required anymore. Thus, a significant number of inter-object connections can be removed and the graph partitioning problem becomes simpler. After initial segmentation, such regions are labelled using a novel recovery procedure. Our approach has been experimentally validated within a typical segmentation pipeline on multi-view and single-view point cloud data. To foster further research, we make the labelled MVPC dataset public (Bobkov et al., 2017).
NYU-MILA Neural Machine Translation Systems for WMT’16

We describe the neural machine translation system of New York University (NYU) and University of Montreal (MILA) for the translation tasks of WMT’16. The main goal of NYU-MILA submission to WMT’16 is to evaluate a new character-level decoding approach in neural machine translation on various language pairs. The proposed neural machine translation system is an attention-based encoder‐decoder with a subword-level encoder and a character-level decoder. The decoder of the neural machine translation system does not require explicit segmentation, when characters are used as tokens. The character-level decoding approach provides benefits especially when translating a source language into other morphologically rich languages.
Media Independent Handover in heterogeneous multi-hop mobile networks

In next generation wireless systems, achieving seamless service continuity when transitioning between heterogeneous networks is a challenging task. An approach to optimize these handover procedures through the introduction of a standardized framework is followed by the IEEE 802.21 working group. The Media Independent Handover (MIH) function of IEEE 802.21 is mainly designed for "client-network" scenarios and not applicable to multi-hop connectivity models. In this paper, we propose an extended MIH model for accommodating multi-hop mode of operation in heterogeneous mobile networks. Our objective is to effectively use the services and the messages associated to the framework, so as to enhance the scope of MIH functionality and contrastingly, enable multi-hop heterogeneous networking in personal ubiquitous environments [16].
CyberKnife radiotherapy for malignant fibrous histiocytoma of the chest wall: A case report and review of the literature

Malignant fibrous histiocytoma (MFH) is the most common type of soft tissue sarcoma, but rarely originates in the chest wall. Surgical resection is considered to be the most reliable treatment, however, no consensus has been reached concerning the best treatment for unresectable MFH. The current study presents the case of a 77-year-old male with MFH of the chest wall. The patient developed a painless mass and intermittent fever over a four-month period. A computed tomography scan demonstrated a large inhomogeneous lesion in the right chest wall, which was subsequently diagnosed via biopsy as a MFH. Since the tumor was an unresectable mass, CyberKnife® radiotherapy was conducted. Following the treatment, a marked reduction in the tumor size was observed with a tolerable level of toxicity. The sequencing analysis also revealed an in-frame deletion (delE746-A750) in exon 19 of the epidermal growth factor receptor gene. Based on this result, gefitinib was administered to the patient at a dose of 250 mg/day.
You Cannot Judge a Book by Its Cover: The Problems with Journal Rankings

Abstract Journal rankings lists have impacted and are impacting accounting educators and accounting education researchers around the world. Nowhere is the impact positive. It ranges from slight constraints on academic freedom to admonition, censure, reduced research allowances, non-promotion, non-short-listing for jobs, increased teaching loads, and re-designation as a non-researcher, all because the chosen research specialism of someone who was vocationally motivated to become a teacher of accounting is, ironically, accounting education. University managers believe that these journal ranking lists show that accounting faculty publish top-quality research on accounting regulation, financial markets, business finance, auditing, international accounting, management accounting, taxation, accounting in society, and more, but not on what they do in their ‘day job’ – teaching accounting. These same managers also believe that the journal ranking lists indicate that accounting faculty do not publish top-quality research in accounting history and accounting systems. And they also believe that journal ranking lists show that accounting faculty write top-quality research in education, history, and systems, but only if they publish it in specialist journals that do not have the word ‘accounting’ in their title, or in mainstream journals that do. Tarring everyone with the same brush because of the journal in which they publish is inequitable. We would not allow it in other walks of life. It is time the discrimination ended.
Direct Activation of Human Dendritic Cells by Particle-Bound but Not Soluble MHC Class II Ligand

Dendritic cells (DCs) are key activators of cellular immune responses through their capacity to induce naïve T cells and sustained effector T cell responses. This capacity is a function of their superior efficiency of antigen presentation via MHC class I and class II molecules, and the expression of co-stimulatory cell surface molecules and cytokines. Maturation of DCs is induced by microbial factors via pattern recognition receptors such as Toll-like receptors, pro-inflammatory cytokines or cognate interaction with CD4+ T cells. Here we show that, unexpectedly, the PanDR helper T cell epitope PADRE, a generic T helper cell antigen presented by a large fraction of HLA-DR alleles, when delivered in particle-bound form induced maturation of human DCs. The DCs that received the particle-bound PADRE displayed all features of fully mature DCs, such as high expression of the co-stimulatory molecules CD80, CD86, CD83, the MHC-II molecule HLA-DR, secretion of high levels of the biologically active IL-12 (IL-12p70) and induction of vigorous proliferation of naïve CD4+ T cells. Furthermore, the maturation of DCs induced by particle-bound PADRE was shown to involve sphingosine kinase, calcium signaling from internal sources and downstream signaling through the MAP kinase and the p72syk pathways, and finally activation of the transcription factor NF-κB. Based on our findings, we propose that particle-bound PADRE may be used as a DC activator in DC-based vaccines.
Rapid customization of an information extraction system for a surprise language

This paper describes the rapid adaptation for surprise languages of a flexible and robust Information Extraction system based on GATE, a portable Natural Language Processing infrastructure. Our experiences show that even without a native speaker and in the absence of training data, we can quickly customize the system to a new language. We adapted the default English system for the Cebuano language in 10 days, achieving an F measure of 77.5%.
A color management system for textile based on HSV model and bayesian classifier

The specific needs to retain and communicate textured dyed material and printed fabric become imperative due to quick fashion changes. A systematic way of textile color retrieval and classification is put forward in this paper to develop an accurate and feasible textile digital color management. Firstly the system structure is discussed and then the HSV model combined with reference color table is used in the color retrieval of textile. Secondly, Bayesian network is applied to classify the samples. Thirdly the system structure incorporated with above methods is established. And then tests are carried out at the end of the paper and the simulation results have proved the effectiveness of this method. Consequently, it's verified that the method is effective and feasible to be put into practice in color management of textile.
Serum Vitamin D and Pyridinoline Cross-Linked Carboxyterminal Telopeptide of Type I Collagen in Patients with Ankylosing Spondylitis

Objective. To assess the serum vitamin D and ICTP levels in patients with ankylosing spondylitis (AS) and investigate their relationship with disease activity and bone mineral density (BMD). Method. 150 patients and 168 controls were included. Serum 25(OH)D, ICTP, C-reaction protein (CRP), Bath AS Disease Activity Index (BASDAI), Bath AS Functional Index (BASFI), and Hip BMD were assessed in patients. 25(OH)D and ICTP were detected in controls. Results. The serum 25(OH)D in AS was 57.92 ± 24.42 nmol/L, significantly lower than controls (91.24 ± 42.02 nmol/L). Serum ICTP in AS was 5.72 ± 3.88 ug/L, significantly higher than controls (3.69 ± 1.26 ug/L). ICTP level was higher in men than in women patients (6.07 ± 4.05 versus 3.84 ± 1.96 ug/L, P ≤ 0.01); it was also higher in JAS than in AAS (9.52 ± 3.79 versus 5.27 ± 3.65 ug/L, P ≤ 0.01). Furthermore, 25(OH)D was negatively correlated with ICTP. Low 25(OH)D and high ICTP were one of the reasons of AS patients' low hip BMD. Besides, a significant relationship was found between serum ICTP and CRP. Conclusion. There was a high incidence of vitamin D inadequacy in AS. Serum ICTP level was elevated in AS, especially in JAS and male patients. 25(OH)D and ICTP seem to be valuable markers to detect bone loss in AS.
Novel STATCOM Controller for Reactive Power Compensation in Distribution Networks with Dispersed Renewable Wind Energy

This paper presents a novel multi-loop dynamic error driven controller based on the decoupled (d-q) voltage and current tracking loops for modulating the static synchronous compensator (STATCOM) used in distribution networks with dispersed renewable wind energy generation. The multi loop regulator adjusts the pulse switching pattern of the voltage-sourced converter (VSC) to ensure effective reactive power compensation and harmonic reduction. The effectiveness of the controller is fully validated under different operating conditions, like load switching and wind velocity excursions.
SVM ensemble for anomaly detection based on rotation forest

Due to the expansion of high-speed Internet access, the need for secure and reliable networks has become more critical. The sophistication of network attacks, as well as their severity, has also increased recently. In this paper, a new intelligent intrusion detection system has been proposed using SVM ensemble. The ensemble was made of two-layer, one is composed by five SVM network decided by winner-take-all, the other is a ensemble network composed of five classifier decided by majority voting. The KDD99 data sets was used to test which achieve a better performance.
Does the Sector Bias of Skill-Biased Technical Change Explain Changing Wage Inequality?

This paper examines whether the sector bias of skill-biased technical change (sbtc) explains changing skill premia within countries in recent decades. First, using a two-factor, two-sector, two-country model we demonstrate that in many cases it is the sector bias of sbtc that determines sbtc's effect on relative factor prices, not its factor bias. Thus, rising (falling) skill premia are caused by more extensive sbtc in skill-intensive (unskill-intensive) sectors. Second, we test the sector-bias hypothesis using industry data for many countries in recent decades. An initial consistency check strongly supports the hypothesis. Among ten countries we find a strong correlation between changes in skill premia and the sector bias of sbtc during the 1970s and 1980s. The hypothesis is also strongly supported by more structural estimation on U.S. and U.K. data of the economy-wide wage changes mandated' to maintain zero profits in all sectors in response to the sector bias of sbtc. The suggestive mandated-wage estimates match the direction of actual wage changes in both countries during both the 1970s and the 1980s. Thus, the empirical evidence strongly suggests that the sector bias of sbtc can help explain changing skill premia.
Spin-Polarized DFT Calculations and Magnetism

c 2006 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.
Expression of Tgfβ1 and Inflammatory Markers in the 6-hydroxydopamine Mouse Model of Parkinson’s Disease

Parkinson’s disease (PD) is a neurodegenerative disorder that is characterized by loss of midbrain dopaminergic (mDA) neurons in the substantia nigra (SN). Microglia-mediated neuroinflammation has been described as a common hallmark of PD and is believed to further trigger the progression of neurodegenerative events. Injections of 6-hydroxydopamine (6-OHDA) are widely used to induce degeneration of mDA neurons in rodents as an attempt to mimic PD and to study neurodegeneration, neuroinflammation as well as potential therapeutic approaches. In the present study, we addressed microglia and astroglia reactivity in the SN and the caudatoputamen (CPu) after 6-OHDA injections into the medial forebrain bundle (MFB), and further analyzed the temporal and spatial expression patterns of pro-inflammatory and anti-inflammatory markers in this mouse model of PD. We provide evidence that activated microglia as well as neurons in the lesioned SN and CPu express Transforming growth factor β1 (Tgfβ1), which overlaps with the downregulation of pro-inflammatory markers Tnfα, and iNos, and upregulation of anti-inflammatory markers Ym1 and Arg1. Taken together, the data presented in this study suggest an important role for Tgfβ1 as a lesion-associated factor that might be involved in regulating microglia activation states in the 6-OHDA mouse model of PD in order to prevent degeneration of uninjured neurons by microglia-mediated release of neurotoxic factors such as Tnfα and nitric oxide (NO).
Pharmacokinetics of Anti‐VEGF Agent Aflibercept in Cancer Predicted by Data‐Driven, Molecular‐Detailed Model

Mathematical models can support the drug development process by predicting the pharmacokinetic (PK) properties of the drug and optimal dosing regimens. We have developed a pharmacokinetic model that includes a biochemical molecular interaction network linked to a whole‐body compartment model. We applied the model to study the PK of the anti‐vascular endothelial growth factor (VEGF) cancer therapeutic agent, aflibercept. Clinical data is used to infer model parameters using a Bayesian approach, enabling a quantitative estimation of the contributions of specific transport processes and molecular interactions of the drug that cannot be examined in other PK modeling, and insight into the mechanisms of aflibercept's antiangiogenic action. Additionally, we predict the plasma and tissue concentrations of unbound and VEGF‐bound aflibercept. Thus, we present a computational framework that can serve as a valuable tool for drug development efforts.
Confronting Passive and Active Sensors with Non-Gaussian Statistics

This paper has two motivations: firstly, to compare the Digital Surface Models (DSM) derived by passive (digital camera) and by active (terrestrial laser scanner) remote sensing systems when applied to specific architectural objects, and secondly, to test how well the Gaussian classic statistics, with its Least Squares principle, adapts to data sets where asymmetrical gross errors may appear and whether this approach should be changed for a non-parametric one. The field of geomatic technology automation is immersed in a high demanding competition in which any innovation by one of the contenders immediately challenges the opponents to propose a better improvement. Nowadays, we seem to be witnessing an improvement of terrestrial photogrammetry and its integration with computer vision to overcome the performance limitations of laser scanning methods. Through this contribution some of the issues of this “technological race” are examined from the point of view of photogrammetry. A new software is introduced and an experimental test is designed, performed and assessed to try to cast some light on this thrilling match. For the case considered in this study, the results show good agreement between both sensors, despite considerable asymmetry. This asymmetry suggests that the standard Normal parameters are not adequate to assess this type of data, especially when accuracy is of importance. In this case, standard deviation fails to provide a good estimation of the results, whereas the results obtained for the Median Absolute Deviation and for the Biweight Midvariance are more appropriate measures.
Genetic Susceptibility to Obesity and Related Traits in Childhood and Adolescence

OBJECTIVE Large-scale genome-wide association (GWA) studies have thus far identified 16 loci incontrovertibly associated with obesity-related traits in adults. We examined associations of variants in these loci with anthropometric traits in children and adolescents. RESEARCH DESIGN AND METHODS Seventeen variants representing 16 obesity susceptibility loci were genotyped in 1,252 children (mean ± SD age 9.7 ± 0.4 years) and 790 adolescents (15.5 ± 0.5 years) from the European Youth Heart Study (EYHS). We tested for association of individual variants and a genetic predisposition score (GPS-17), calculated by summing the number of effect alleles, with anthropometric traits. For 13 variants, summary statistics for associations with BMI were meta-analyzed with previously reported data (Ntotal = 13,071 children and adolescents). RESULTS In EYHS, 15 variants showed associations or trends with anthropometric traits that were directionally consistent with earlier reports in adults. The meta-analysis showed directionally consistent associations with BMI for all 13 variants, of which 9 were significant (0.033–0.098 SD/allele; P < 0.05). The near-TMEM18 variant had the strongest effect (0.098 SD/allele P = 8.5 × 10−11). Effect sizes for BMI tended to be more pronounced in children and adolescents than reported earlier in adults for variants in or near SEC16B, TMEM18, and KCTD15, (0.028–0.035 SD/allele higher) and less pronounced for rs925946 in BDNF (0.028 SD/allele lower). Each additional effect allele in the GPS-17 was associated with an increase of 0.034 SD in BMI (P = 3.6 × 10−5), 0.039 SD, in sum of skinfolds (P = 1.7 × 10−7), and 0.022 SD in waist circumference (P = 1.7 × 10−4), which is comparable with reported results in adults (0.039 SD/allele for BMI and 0.033 SD/allele for waist circumference). CONCLUSIONS Most obesity susceptibility loci identified by GWA studies in adults are already associated with anthropometric traits in children/adolescents. Whereas the association of some variants may differ with age, the cumulative effect size is similar.
Creation and Verification of a Controlled Experimental Stimulus for Investigating Selected Perceived Spatial Attributes

In order to undertake controlled investigations into perceptual effects that relate to the interaural cross-correlation coefficient, experiment stimuli that meet a tight set of criteria are required. The requirements of each stimulus are that it is narrow band, normally has a constant cross-correlation coefficient over time, and can be altered to cover the full range of values of cross-correlation coefficient, including specified variations over time if required. Stimuli created using a technique based on amplitude modulation are found to meet these criteria, and their use in a number of subjective experiments is described.
Rice consumption is associated with better nutrient intake and diet quality in adults: National Health and Nutrition Examination Survey (NHANES) 2005–2010

NHANES data (2005–2010) were used to assess the association of rice consumption by adults (19+yrs; N=14,386) with nutrient intake and diet quality. Rice consumption groups were <0.25, >;0.25 to <0.5, >;0.5 to <1.0, and >;1.0 oz eq of usual intake of rice. Diet quality (using the Healthy Eating Index [HEI]) was calculated. Covariate adjusted least square means ± SE were determined and quartile trends examined. Significant (p < 0.001) positive trends (beta coefficient across rice quartiles) were seen for fiber (0.57 g), thiamine (0.09 mg), niacin (1.03 mg), folate (58.2 μg DFE), copper (0.05 mg), magnesium (11.8 mg), iron (1.0 mg), and sodium (119 mg). Significant negative trends were seen for total and added sugars (−1.3 and −5.1 g, respectively); total, solid, and saturated fats (−3.3, −3.9, and −1.8 g, respectively), and calcium (−41 mg). HEI also showed a positive trend with rice consumption (2.25 points). HEI component scores for whole fruit (0.11); dark green/orange vegetables (0.25), total grains (0.10), meat/beans (0.24), and oils (0.14) were higher (p<0.01) in rice consumers. HEI component scores for saturated fats (0.64), SoFAAS (1.24) were higher suggesting more favorable intake, but sodium (−0.25) was lower. Overall, consumption of rice should be encouraged to improve nutrient intake and diet quality. Nutrition education can provide ways to reduce sodium added to rice dishes. Support: USDA & Rice Federation
Sozialökonomisches Seminar der Universität Hamburg Notes on Power in Hierarchical Structures

Although the systematic and formal study of organizational hierarchies using the tools of cooperative game theory was foreseen many years ago by Morgenstern, Shapley, and Shubik, it is a subject that economists have more or less left by the wayside. In this note, we provide an informal and tentative exposition of the application of the theory and measurement of voting power to the description, analysis, and comparison of hierarchical structures. Novel and counterintuitive results that are of particular relevance to management science and the study of organizational behaviour are derived and discussed, in particular regarding the performance of hierarchical structures and the meaning of empowerment. We also touch upon the subject of compliance with mandatory regulations.