Miracle-dz/UniFAR-FTUs huggingface dataset:
JOINT AZIMUTH AND ELEVATION ANGLE ESTIMATION USING MATRIX COMPLETION METHOD

Two-Dimensional Direction of Arrival (2D-DOA) estimation is increasingly important in recent years. In this paper, a new method is proposed to estimate the 2D-DOAs of multiple spatial sources using a three-parallel uniform linear array assuming that some of the sensors happened to be out-of-order. Firstly, a Matrix Completion (MC) algorithm is applied to recover the observed incomplete data, and then an improved joint azimuth and elevation angle estimation algorithm using the recovered data is proposed to obtain the correct parameter estimation. Finally, computer simulation results show that the proposed algorithm has a great performance improvement compared to those based on incomplete data in terms of Signal-to-Noise Ratio (SNR) and the sample rate of sensors.
Pengaruh Intellectual Capital Dan Corporate Governance Terhadap Kinerja Keuangan Perbankan Di Indonesia

This study is aimed to investigate the impact of intellectual capital andcorporate governance on bank’s financial performance in Indonesia. Intellectualcapital is measured by Value Added Intellectual Coefficient(VAIC) method, while corporate governance is measured by corporate governance composit valueof Banks. The result indicates VACA and VAHU have influence on bank’sperformance in Indonesia which proxied by ROE and ROA.
Composition dependence of the diffuse scattering in cubic PbZr1-xTixO3

ABSTRACT The results of the experimental study of the diffuse scattering in ferroelectric solid solutions PbZr1-xTixO3 are reported. We have used X-ray diffraction to characterize the diffuse scattering in six single-crystals with . The comparison of diffuse intensity maps in almost pure lead zirconate and PbZr1-xTixO3 compounds with significant titanium doping shows that increasing lead titanate concentration gradually scales down the shape anisotropy of the scattering, but some details of the diffuse scattering that are not observed in pure PbTiO3 still remain.
Human Resource Accounting: Costs and Benefits Analysis

Human resource accounting is related with intellectual capital in literature. This study adds another dimension for human resource accounting field. It is costs, human resource management related costs. Research topic is intellectual capital and human resource costs in human resource accounting. Research question is that human resource accounting is technic of management accounting. Research methodology is the case study approaches. Main result of study is that human resource costs are recorded in financial accounting and this information might be used by human resource leaders and other executives. Further, human resource of company may be recorded as intellectual capital in balanced sheet. Quantity of record might become total compensation of firms. In conclusion, HR accounting is management accounting technic with its support for information role and decision-making role.
An Analysis of Marketed Surplus and Price Spread of Brinjal in Western

The study was undertaken to analyze marketed surplus and price spread for brinjal in Western Uttar Pradesh. Cluster sampling techniques was used to select the sample villages and respondents. Primary data were collected by personal interview of respondents. Simple statistical tools were employed to accomplish different objectives of the study. The marketed surplus of the medium category of farms have slightly higher surplus than marginal, large and small categories of farms. Their relative proportion was 94.84 per cent, 94.51 per cent, 94.49 per cent and 94.48 per cent respectively of the total production. The share of producer in consumer rupee is high in channel were there are less number of intermediaries. The marketing cost incurred by wholesaler in different channels were estimated 5.01 per cent, 6.39 per cent and 7.88 per cent of the consumer price respectively and their corresponding net margins were 9.68 per cent, 9.61 per cent and 10.23 per cent of the price paid by the consumer.
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations

Unsupervised node representations learnt using contrastive learning-based methods have shown good performance on downstream tasks. However, these methods rely on augmentations that mimic low-pass filters, limiting their performance on tasks requiring different eigen-spectrum parts. This paper presents a simple filter-based augmentation method to capture different parts of the eigen-spectrum. We show significant improvements using these augmentations. Further, we show that sharing the same weights across these different filter augmentations is possible, reducing the computational load. In addition, previous works have shown that good performance on downstream tasks requires high dimensional representations. Working with high dimensions increases the computations, especially when multiple augmentations are involved. We mitigate this problem and recover good performance through lower dimensional embeddings using simple random Fourier feature projections. Our method, FiGURe achieves an average gain of up to 4.4%, compared to the state-of-the-art unsupervised models, across all datasets in consideration, both homophilic and heterophilic. Our code can be found at: https://github.com/microsoft/figure.
Growth performance , nutrient digestibility , metabolizable energy , and intestinal 1 morphology of growing turkeys fed diet supplemented with arginine 2

Dietary treatments consisted of basal diets supplemented with 0, 0.5, and 1.0 g Arg/kg. 31 Growth response was measured during the grower (d 56 to 84) and finisher (d 84 to 112) 32 phases, while nutrient digestibility, metabolizable energy, and intestinal morphology were 33 measured at d 84 and 112. Arginine supplementation had no effect on growth response during 34 the grower phase. During the finisher phase, feed conversion ratio decreased initially as Arg 35 supplementation increased from 0 to 0.5 g/kg, but it increased with the 1.0 g Arg/kg 36 (quadratic, P = 0.028). At d 84, grower turkeys fed diets supplemented with 1.0 g Arg/kg had 37 greater (linear, P < 0.001) apparent dry matter, crude protein, and ether extract digestibility. 38 At d 84, greatest apparent metabolizable energy, nitrogen corrected apparent metabolizable 39 energy, and true metabolizable energy values were obtained with grower turkeys fed diet 40 supplemented with 0.5 g Arg/kg (quadratic, P < 0.001). At d 84, duodenum, and ileum villus 41 height in grower turkeys increased linearly, and quadratically (P < 0.001) with increasing Arg 42 supplementation. Dietary supplementation with Arg reduced the apical widths in duodenum 43 (linear, P = 0.003; quadratic, P < 0.001), jejunum (linear and quadratic, P < 0.001), and ileum 44 (linear, P = 0.010; quadratic, P = 0.004) of grower turkeys. At d 112, jejunum villus height 45 (quadratic, P = 0.042), and ileum villus height (linear, P = 0.022; quadratic, P = 0.042) of 46 finisher turkeys increased, while duodenum apical widths reduced (quadratic, P = 0.033) with 47 increasing Arg supplementation. In conclusion, Arg supplementation showed a linear 48 improvement in nutrient digestibility of grower turkeys at d 84, increased nutrient absorption 49 in grower, and finisher turkeys as indicated by increased intestinal villus height at d 84, and 50 112. Furthermore, dietary supplementation with 0.5 g Arg/kg promoted a quadratic 51 improvement in feed conversion ratio of finisher turkeys, and metabolizable energy values of 52 grower turkeys at d 84. 53
Foreground Detection for Infrared Videos With Multiscale 3-D Fully Convolutional Network

Foreground detection for infrared (IR) videos is an important and fundamental problem in many applications, e.g., IR surveillance, IR object tracking, and so on. Conventional foreground detection algorithms developed for visible videos do not focus on the problems for IR videos, e.g., low contrast, coarse texture, lack of color information, and so on. Recent foreground detection methods based on deep neural network (DNN) demonstrated significant improvement, but most of them still use only spatial features, which is less obvious in IR images. In this letter, we add deeply learned multiscale temporal features to improve the performance of background subtraction for IR videos. We propose a novel multiscale 3-D fully convolutional network (MFC3-D) to establish a mapping from image sequences to pixelwise classification results and to learn deep and hierarchical multiscale spatial–temporal features of the input images sequence. The experimental results show that the MFC3-D can learn spatial–temporal features effectively and achieved state-of-the-art results on the test data set, comparing to other DNN-based methods and traditional background subtraction methods.
Coexisting Frailty and Cognitive Impairment as a Predictor of Adverse Outcomes in Older Inpatients After Discharge: Results from a One-Year Follow-Up Study

Purpose: This study aimed to investigate the combined effects of frailty and cognitive impairment on adverse outcomes, including new falls and new activities of daily living (ADL) dependency over a 1-year follow-up. Patients and Methods: A total of 311 older hospitalized patients participated in this retrospective observational study and completed a 1-year follow-up. Frailty was assessed by the Clinical Frailty Scale (CFS). Cognitive function was evaluated by the Mini-Mental State Examination (MMSE). All participants were classified into four groups: 1) the healthy group (n=180); 2) the cognitive impairment group only (n=38); 3) the frailty group only (n=44); and 4) coexisting frailty and cognitive impairment group (n=49). The follow-up data of adverse outcomes include the incidences of new falls and new ADL dependence. Binary logistic regression analysis was used to explore the associations of frailty and/or cognitive impairment with adverse outcomes. Results: The prevalence rates of frailty, cognitive impairment, and co-occurring frailty with cognitive impairment were 29.9%, 28%, and 15.8%, respectively. Among these four groups, there was a statistical difference in the incidence of new ADL dependence during the follow-up period (9.5% vs 11.4% vs 35.9% vs 61.9%, P < 0.001). After adjusting the confounding variables, older hospitalized patients with frailty and cognitive impairment had a higher risk of new ADL dependence when compared with the healthy group (OR: 4.786, 95% CI: 1.492–15.355), but frailty only or cognitive impairment only was not associated with new ADL dependency. Conclusion: Elderly inpatients with comorbid frailty and cognitive impairment on admission were significantly associated with an increased risk of new ADL dependency 1 year after discharge. Therefore, it is necessary for the early identification of frailty and cognitive impairment, and effective interventions should be implemented.
Transforming Growth Factor (cid:1) -Induced Reactivation of Epstein-Barr Virus Involves Multiple Smad-Binding Elements Cooperatively Activating Expression of the Latent-Lytic Switch BZLF1 Gene (cid:1)

Transforming growth factor (cid:1) (TGF- (cid:1) ) physiologically induces Epstein-Barr virus (EBV) lytic infection by activating the expression of EBV’s latent-lytic switch BZLF1 gene. Liang et al. (J. Biol. Chem. 277:23345–23357, 2002) previously identiﬁed a Smad-binding element (SBE) within the BZLF1 promoter, Zp; however, it accounts for only 20 to 30% of TGF- (cid:1) -mediated activation of transcription from Zp. Here, we identiﬁed additional factors responsible for the rest of this activation. The incubation of EBV-positive MutuI cells with a TGF- (cid:1) neutralizing antibody or inhibitors of the TGF- (cid:1) type I receptor (T (cid:1) RI) or Smad3 eliminated the TGF- (cid:1) -induced reactivation of EBV. The coexpression of Smad2, Smad3, and Smad4 together with a constitutively active form of T (cid:1) RI induced 15- to 25-fold transcription from Zp in gastric carcinoma AGS cells. By electrophoretic mobility shift assays, we identiﬁed four additional Smad-binding elements, named SBE2 to SBE5. Substitution mutations in individual SBEs reduced Smad-mediated activation of Zp by 20 to 60%; these mutations essentially eliminated it. Chromatin immunoprecipitation assays conﬁrmed that Smad4 newly bound the Zp region of the EBV genome following the incubation of MutuI cells with TGF- (cid:1) . SBE2 overlaps the ZEB-binding ZV silencing element of Zp. Depending upon posttranslational modiﬁcations, Smad4 either competed with ZEB1 for binding or formed a complex with ZEB1 on the Zp ZV element in a cell-free assay system. In transiently transfected cells, exogenously expressed ZEB1 inhibited Smad-mediated transcriptional activation from Zp. We conclude that TGF- (cid:1) induces EBV lytic reactivation via the canonical Smad pathway by activating BZLF1 gene expression through multiple SBEs acting in concert. -GTGCGTTTAAACGTCTAAAGGTTGTGG GTCTGCAAT-3 (cid:2) . To produce Halo-tagged Smad4 protein in TGF- (cid:1) -activated human cells, 9 (cid:8) g of pFN21A-Smad4 and 3 (cid:8) g of pcDNA3-ALK5 T204D were cotransfected into 15-cm plates of 293T cells using TransIT-LT1 (Mirus Bio). incubation cells lysed dilution protease Biosciences). The puriﬁcation of the Halo-tagged Smad4 modiﬁcations. In brief, the lysate was centrifugation incubated HaloLink on a rotating platform. was twice with lysis lysis twice lysis cleavage (cid:8) g/ml pelleted
3D map of theranostic nanoparticles distribution in mice brain and liver by means of X-ray Phase Contrast Tomography

The word “theranostic” derives from the fusion of two terms: therapeutic and diagnostic. It is a promising research field that aims to develop innovative therapies with high target specificity by exploiting the therapeutic and diagnostic properties, in particular for metal-based nanoparticles (NPs) developed to erase cancer. In the framework of a combined research program on low dose X-ray imaging and theranostic nanoparticles (NPs), high resolution Phase-Contrast Tomography images of mice organs injected with gadolinium and gold-NPs were acquired at the European Synchrotron Radiation Facility (ESRF). Both compounds are good X-ray contrast agents due to their high attenuation coefficient with respect to biological tissues, especially immediately above K-edge energy. X-ray tomography is a powerful non-invasive technique to image the 3D vasculature network in order to detect abnormalities. Phase contrast methods provide more detailed anatomical information with higher discrimination among soft tissues. We present the images of mice liver and brain injected with gold and gadolinium NPs, respectively. We discuss different image processing methods used aiming at enhancing the accuracy on localizing nanoparticles.
Defining the healthy " core microbiome " of oral microbial communities

Background: Most studies examining the commensal human oral microbiome are focused on disease or are limited in methodology. In order to diagnose and treat diseases at an early and reversible stage an indepth definition of health is indispensible. The aim of this study therefore was to define the healthy oral microbiome using recent advances in sequencing technology (454 pyrosequencing). Results: We sampled and sequenced microbiomes from several intraoral niches (dental surfaces, cheek, hard palate, tongue and saliva) in three healthy individuals. Within an individual oral cavity, we found over 3600 unique sequences, over 500 different OTUs or "species-level" phylotypes (sequences that clustered at 3% genetic difference) and 88 104 higher taxa (genus or more inclusive taxon). The predominant taxa belonged to Firmicutes (genus Streptococcus, family Veillonellaceae, genus Granulicatella), Proteobacteria (genus Neisseria, Haemophilus), Actinobacteria (genus Corynebacterium, Rothia, Actinomyces), Bacteroidetes (genus Prevotella, Capnocytophaga, Porphyromonas) and Fusobacteria (genus Fusobacterium). Each individual sample harboured on average 266 "species-level" phylotypes (SD 67; range 123 326) with cheek samples being the least diverse and the dental samples from approximal surfaces showing the highest diversity. Principal component analysis discriminated the profiles of the samples originating from shedding surfaces (mucosa of tongue, cheek and palate) from the samples that were obtained from solid surfaces (teeth). There was a large overlap in the higher taxa, "species-level" phylotypes and unique sequences among the three microbiomes: 84% of the higher taxa, 75% of the OTUs and 65% of the unique sequences were present in at least two of the three microbiomes. The three individuals shared 1660 of 6315 unique sequences. These 1660 sequences (the "core microbiome") contributed 66% of the reads. The overlapping OTUs contributed to 94% of the reads, while nearly all reads (99.8%) belonged to the shared higher taxa. Conclusions: We obtained the first insight into the diversity and uniqueness of individual oral microbiomes at a resolution of next-generation sequencing. We showed that a major proportion of bacterial sequences of unrelated healthy individuals is identical, supporting the concept of a core microbiome at health. Published: 15 December 2009 BMC Microbiology 2009, 9:259 doi:10.1186/1471-2180-9-259 Received: 10 July 2009 Accepted: 15 December 2009 This article is available from: http://www.biomedcentral. com/1471-2180/9/259 © 2009 Zaura et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. BMC Microbiology 2009, 9:259 http://www.biomedcentral. com/1471-2180/9/259
Typology and the study of writing systems

For the study of writing systems (still verymuch aminority branch of linguistics) the whole concept of typology is controversial, because there are influential scholars who believe that all the world’s scripts are essentially of the same type. There has been a long though not particularly honourable tradition of discussing all writing systems as if they were more successful or less successful attempts to approximate the Roman alphabet, seen as the only possible ideal from which any other kind of script could only be viewed as a falling-off. In 1960, for instance, the distinguished anthropologist Sir Jack Goody and the literary critic Ian Watt co-authored a widelyread paper (Goody&Watt 1963) which used the term “literate societies” explicitly to mean societies using an alphabetic script, as opposed to societies like China which for over three millennia has (as Goody and Watt saw it) been struggling with a system of writing too crude to confer the benefits of literacy on the society which uses it. Michael & Jennifer Cole (2006: 305) note that Goody and Watt’s paper, and subsequent related writings of Goody’s, “have had an especially influential and continuing impact on a wide range of different disciplines [. ] Goody’s work on this topic continues to be used by anthropologists and historians, psychologists and sociologists”. Scholars within the tradition described have often been prepared to recognize a difference in type between alphabetic scripts (the elements of which stand for segmental phonemes) and syllabic scripts (which divide speech into whole syllables). But this is a relatively minor distinction, set against the contrast between logographic scripts, which assign distinct marks to meaningful units of a language, i.e., words or morphemes, and phonographic scripts which represent phonological units of one size or another. And even the syllabic v. alphabetic distinction was often blurred, for instance by lumping together, as “syllabic”,
Redox signaling by glutathione peroxidase 2 links vascular modulation to metabolic plasticity of breast cancer

In search of redox mechanisms in breast cancer, we uncovered a striking role for glutathione peroxidase 2 (GPx2) in oncogenic signaling and patient survival. GPx2 loss stimulates malignant progression due to reactive oxygen species/hypoxia-inducible factor 1-alpha/VEGFA signaling, causing poor perfusion and hypoxia, which were reversed by GPx2 re-expression or HIF1 α inhibition. Ingenuity Pathway Analysis revealed a link between GPx2 loss, tumor angiogenesis, metabolic modulation, and HIF1 α signaling. Single-cell RNA analysis and bioenergetic profiling revealed that GPx2 loss stimulated the Warburg effect in most tumor cell populations, except for one cluster which was capable of oxidative phosphorylation and glycolysis, as confirmed by discrete co-expres-sion of phosphorylated AMPK and GLUT1. These findings underscore a unique role for redox signaling by GPx2 dysregulation in breast cancer, underlying tumor heterogeneity, leading to metabolic plasticity and malignant progression.
Validation of Computational Fluid Dynamics Based Data Center Cyber-Physical Models by Rose

Energy efficient design and management of data centers has seen considerable interest in the recent years owing to its potential to reduce the overall energy consumption and thereby the costs associated with it. Therefore, it is of utmost importance that new methods for improved physical design of data centers, resource management schemes for efficient workload distribution and sustainable operation for improving the energy efficiency, be developed and tested before implementation on an actual data center. The BlueTool project, provides such a state-of-the-art platform, both software and hardware, to design and analyze energy efficiency of data centers. The software platform, namely GDCSim uses cyber-physical approach to study the physical behavior of the data center in response to the management decisions by taking into account the heat recirculation patterns in the data center room. Such an approach yields best possible energy savings owing to the characterization of cyber-physical interactions and the ability of the resource management to take decisions based on physical behavior of data centers. The GDCSim mainly uses two Computational Fluid Dynamics (CFD) based cyber-physical models namely, Heat Recirculation Matrix (HRM) and Transient Heat Distribution Model (THDM) for thermal predictions based on different management schemes. They are generated using a model generator namely BlueSim. To ensure the accuracy of the thermal predictions using the GDCSim, the models, HRM and THDM and the model generator, BlueSim need to be validated experimentally. For this purpose, the hardware platform of the BlueTool project, namely the BlueCenter, a mini data center, can be used. As a part of this thesis, the HRM and THDM were generated using the BlueSim and experimentally validated using the BlueCenter. An average error of 4.08% was observed for BlueSim, 5.84% for HRM and 4.24% for THDM. Further, a high initial error was observed for transient thermal prediction, which is due to the inability of BlueSim to account for the heat retained by server components. i ACKNOWLEDGEMENTS I thank Dr. Sandeep Gupta for giving me an opportunity to work at the Impact lab (http://impact.asu.edu/) and guiding me in my thesis work. I thank my committee members Dr. Patrick Phelan and Dr. Panagiotis Artemiadis for their valuable advice and suggestions in improving my thesis. I am indebted to all the members of Impact lab especially Dr. Georgios Varsamopoulos, Dr. Tridib Mukherjee, Ayan Bannerjee, Sailesh Kandula, Joshua Ferguson, Sunit Verma, Zahra Abbasi and Clinton Helling for their constant help and support. I thank my parents and siblings for their love and support. I also thank NSF (through grant CNS-0855277BlueTool: Infrastructure for Innovative Cyberphysical Data Center Management Research (impact.asu.edu/BlueTool/wiki/ index.php/Main Page)) for funding this research. Above all I thank God for showering His blessings upon me.