Miracle-dz/UniFAR-FTUs huggingface dataset:
Semi-supervised User Geolocation via Graph Convolutional Networks

Social media user geolocation is vital to many applications such as event detection. In this paper, we propose GCN, a multiview geolocation model based on Graph Convolutional Networks, that uses both text and network context. We compare GCN to the state-of-the-art, and to two baselines we propose, and show that our model achieves or is competitive with the state-of-the-art over three benchmark geolocation datasets when sufficient supervision is available. We also evaluate GCN under a minimal supervision scenario, and show it outperforms baselines. We find that highway network gates are essential for controlling the amount of useful neighbourhood expansion in GCN.
A New Algorithm of Face Recognition with Illumination Variation

In this paper, an algorithm is proposed to recognize faces with illumination variation. First the reflectance at every point is estimated by symmetry on face from two images in different known illumination. Then face images in different illumination are generated by the reflectance. Finally, Face recognition is implemented by comparing the similarity between test image and generated images. Experimental results from Yale Face Database B confirm the efficiency of our algorithm.
The Reaction Process of Firefly Bioluminescence Triggered by Photolysis of Caged‐ATP

The reaction process of firefly bioluminescence was studied by photolyzing caged‐ATP to adenosine triphosphate (ATP) within 100 ms. The intensity of luminescence increases markedly to reach a maximum within 1 s, maintains almost the same intensity up to 5 s and then decays monotonically. The rise γ1 and decay γ2 rate constants were determined to be about 5 s−1 and 1 × 10−2 s−1, respectively, so as to phenomenologically fit the time course. A second luminescence peak appears after around 350 s. The dependence of the rate constants on the concentrations of reactants and a viscous reagent revealed that two kinds of reaction contribute the observed time course: (1) an intrinsic reaction by ATP photolyzed from caged‐ATP that is already trapped in luciferase; and (2) a diffusion‐controlled reaction by free ATP in the buffer solution outside luciferase. Numerical analysis based on reaction kinetics related γ1 and γ2 to the rate constants of a three‐step reaction model, and accurately described the effects of concentration of reactants and a viscous reagent on the time courses of bioluminescence. Thus, it has been clearly concluded that the binding mode of caged‐ATP at the catalytic center of luciferase is very different from that of ATP.
Shape Design Sensitivity Analysis of Dynamic Crack Propagation using Peridynamics

On the basis of bond-based peridynamics of reformulated continuum theory, an adjoint shape design sensitivity analysis (DSA) method is developed for dynamic crack propagation problems including the successive branching of cracks. The adjoint variable method (AVM) is generally suitable for path-independent problems but employed since its path is readily available. We take advantage of the time-reversal symmetry for the efficient and concurrent computation of original and adjoint systems. 1 C -continuous volume fraction that arises from numerical discretization turns out to be essential for accurate design sensitivity. Also, to improve the numerical efficiency of large scale problems, the parallel computation scheme of binary space decomposition is employed. Through numerical examples, the accuracy of analytical design sensitivity is verified by comparing with finite difference sensitivity.
FaceDisplay: Towards Asymmetric Multi-User Interaction for Nomadic Virtual Reality

Mobile VR HMDs enable scenarios where they are being used in public, excluding all the people in the surrounding (Non-HMD Users) and reducing them to be sole bystanders. We present FaceDisplay, a modified VR HMD consisting of three touch sensitive displays and a depth camera attached to its back. People in the surrounding can perceive the virtual world through the displays and interact with the HMD user via touch or gestures. To further explore the design space of FaceDisplay, we implemented three applications (FruitSlicer, SpaceFace and Conductor) each presenting different sets of aspects of the asymmetric co-located interaction (e.g. gestures vs touch). We conducted an exploratory user study (n=16), observing pairs of people experiencing two of the applications and showing a high level of enjoyment and social interaction with and without an HMD. Based on the findings we derive design considerations for asymmetric co-located VR applications and argue that VR HMDs are currently designed having only the HMD user in mind but should also include Non-HMD Users.
The Acyl Desaturase CER17 Is Involved in Producing Wax Unsaturated Primary Alcohols and Cutin Monomers1[OPEN]

CER17/ADS4 is involved in unsaturated wax and cutin monomer production in Arabidopsis. We report n-6 monounsaturated primary alcohols (C26:1, C28:1, and C30:1 homologs) in the cuticular waxes of Arabidopsis (Arabidopsis thaliana) inflorescence stem, a class of wax not previously reported in Arabidopsis. The Arabidopsis cer17 mutant was completely deficient in these monounsaturated alcohols, and CER17 was found to encode a predicted ACYL-COENZYME A DESATURASE LIKE4 (ADS4). Studies of the Arabidopsis cer4 mutant and yeast variously expressing CER4 (a predicted fatty acyl-CoA reductase) with CER17/ADS4, demonstrated CER4’s principal role in synthesis of these monounsaturated alcohols. Besides unsaturated alcohol deficiency, cer17 mutants exhibited a thickened and irregular cuticle ultrastructure and increased amounts of cutin monomers. Although unsaturated alcohols were absent throughout the cer17 stem, the mutation’s effects on cutin monomers and cuticle ultrastructure were much more severe in distal than basal stems, consistent with observations that the CER17/ADS4 transcript was much more abundant in distal than basal stems. Furthermore, distal but not basal stems of a double mutant deficient for both CER17/ADS4 and LONG-CHAIN ACYL-COA SYNTHETASE1 produced even more cutin monomers and a thicker and more disorganized cuticle ultrastructure and higher cuticle permeability than observed for wild type or either mutant parent, indicating a dramatic genetic interaction on conversion of very long chain acyl-CoA precursors. These results provide evidence that CER17/ADS4 performs n-6 desaturation of very long chain acyl-CoAs in both distal and basal stems and has a major function associated with governing cutin monomer amounts primarily in the distal segments of the inflorescence stem.
A software-defined architecture and prototype for disaggregated memory rack scale systems

Disaggregation and rack-scale systems have the potential of drastically increasing TCO and utilization of cloud datacenters, while maintaining performance. In this paper, we present a novel rack-scale system architecture featuring software-defined remote memory disaggregation. Our hardware design and operating system extensions enable unmodified applications to dynamically attach to memory segments residing on physically remote memory pools and use such remote segments in a byte-addressable manner, as if they were local to the application. Our system features also a control plane that automates software-defined dynamic matching of compute to memory resources, as driven by datacenter workload needs. We prototyped our system on the commercially available Zynq Ultrascale+ MPSoC platform. To our knowledge, this is the first time a software-defined disaggregated system has been prototyped on commercial hardware and evaluated through industry standard software benchmarks. Our initial results — using benchmarks that are artificially highly adversarial in terms of memory bandwidth — show that disaggregated memory access exhibits a round-trip latency of only 134 clock cycles; and a throughput penalty of as low as 55%, relative to locally-attached memory. We also discuss estimations as to how our findings may translate to applications with pragmatically milder memory aggressiveness levels, as well as innovation avenues across the stack opened up by our work.
Development of Microelectrode Arrays Using Electroless Plating for CMOS-Based Direct Counting of Bacterial and HeLa Cells

The development of two new types of high-density, electroless plated microelectrode arrays for CMOS-based high-sensitivity direct bacteria and HeLa cell counting are presented. For emerging high-sensitivity direct pathogen counting, two technical challenges must be addressed. One is the formation of a bacteria-sized microelectrode, and the other is the development of a high-sensitivity and high-speed amperometry circuit. The requirement for microelectrode formation is that the gold microelectrodes are required to be as small as the target cell. By improving a self-aligned electroless plating technique, the dimensions of the microelectrodes on a CMOS sensor chip in this work were successfully reduced to 1.2 μm × 2.05 μm. This is 1/20th of the smallest size reported in the literature. Since a bacteria-sized microelectrode has a severe limitation on the current flow, the amperometry circuit has to have a high sensitivity and high speed with low noise. In this work, a current buffer was inserted to mitigate the potential fluctuation. Three test chips were fabricated using a 0.6- μm CMOS process: two with 1.2 μm × 2.05 μm (1024 × 1024 and 4 × 4) sensor arrays and one with 6- μm square (16 × 16) sensor arrays; and the microelectrodes were formed on them using electroless plating. The uniformity among the 1024 × 1024 electrodes arranged with a pitch of 3.6 μm × 4.45 μm was optically verified. For improving sensitivity, the trenches on each microelectrode were developed and verified optically and electrochemically for the first time. Higher sensitivity can be achieved by introducing a trench structure than by using a conventional microelectrode formed by contact photolithography. Cyclic voltammetry (CV) measurements obtained using the 1.2 μm × 2.05 μm 4 × 4 and 6- μm square 16 × 16 sensor array with electroless-plated microelectrodes successfully demonstrated direct counting of the bacteria-sized microbeads and HeLa cells.
GLATUI: Non-intrusive Augmentation of Motion-based Interactions Using a GLDV

We present GLATUI, a system that non-intrusively augments the physical interaction between humans and everyday objects with rich expressions extracted directly from the motion. The proposed system measures the velocities on the human skin or the surface of any object and augments them into a user interface without any pre-instrumentation or assumption on the appearance. Specifically, the acquisition of three basic motion elements, i.e., rigid-body motion, deformation, and vibration were investigated. These elements enables natural and high degrees of freedom interactions. In the proposed system, the three motion elements are simultaneously estimated from on-surface velocities, which are measured using a galvanoscopic scanning laser Doppler vibrometer. A method for the measurement of the rigid-body motion, deformation, and vibration is proposed. In addition, we demonstrate several applications of the proposed system, including an on-hand UI with hand gestures, a vibration-based object recognition application, and a conceptual tangible UI. The recognition rate and context awareness of the proposed method in these applications were also evaluated.
The Impact of National Cultures on Business & IT Alignment

Aligning IT to business needs is still one of the most important concerns for senior management. The message of Business & IT Alignment (BIA) is logical and undisputed, but implementation apparently difficult. As part of a research program on the differences between the theory and practice of BIA this paper presents a conceptual exploration of the impact of national cultures on the maturity of BIA. The paper relies on Hofstede’s framework of cultural dimensions (Hofstede, 1980) to understand the concept of culture. We present a compact literature review on the influence of culture on IT that leads to the conclusion that there is an influence and that it is likely that also alignment of business and IT will be affected by cultural aspects. After a brief introduction we analyze this influence by conceptually assessing the potential impact of Hofstede’s cultural dimensions on the variables of BIA maturity.
The complete chloroplast genome sequence of Dioscorea zingiberensis (Dioscoreceae)

Abstract Dioscorea zingiberensis (Dioscoreceae) is an important medicinal plant endemic to China. Here, its chloroplast genome sequence is reconstructed from the whole-genome Illumina sequencing data. The circular genome is 153,970 bp in length, and comprises a pair of inverted repeat (IR) regions of 25,491 bp each, a large single-copy (LSC) region of 83,950 bp and a small single-copy (SSC) region of 19,038 bp. The chloroplast genome contains 132 genes, including 86 protein-coding genes (79 PCG species), 8 ribosomal RNA genes (four rRNA species) and 38 transfer RNA genes (30 tRNA species). Out of these genes, 10 harbor a single intron, and 7 contain a couple of introns. The overall A + T content of the whole genome is 62.8%, while the corresponding values of the LSC, SSC and IR regions are 64.9%, 68.8% and 57.0%, respectively.
Human leukocyte antigens-immunogenetics of neuromyelitis optica or Devic′s disease and the impact on the immunopathogenesis, diagnosis and treatment: a critical review

Neuromyelitis optica (NMO) is an autoimmune demyelinating disorder, predominantly characterized by severe optic neuritis, transverse myelitis and the high level of antibodies against aquaporin-4 (AQP4) or NMO-immunoglobulin G (IgG). Researches trying to correlate NMO with specific human leukocyte antigen (HLA) alleles took place in a limited extend in the last few years. Nevertheless, it has become clear that HLAs play a crucial role in the genetic risk of NMO, in the understanding of its pathogenesis and the differential diagnosis mainly from multiple sclerosis (MS), and also from other demyelinating diseases. In this study, we retrieved all the available data in the MEDLINE concerning the distribution of HLA frequencies in NMO and NMO-spectrum diseases, in all available ethnic groups, and compared them with those of MS. The results suggest that, the well-established HLA-DRB1FNx0115:01 allele, associated with MS, plays rather a protective role for NMO. HLA-DRB1FNx0103 allele is highly frequent in the NMO-IgG positive Caucasian patients, while HLA-DPB1FNx0105:01 is the predominant allele in Japanese patients. The HLA-genotype and anti-AQP4 presence are the common immunological components in cases of comorbidity of NMO and other autoimmune diseases. The authors aim to summarize in the critical review the results of these researches worldwide, create a workable table including all this information for an easier reading approach and highlight the importance of these results in therapeutic decision making, using the HLA profile as biomarker in patients′ stratification.
A Design Space for Security Indicators for Behavioural Biometrics on Mobile Touchscreen Devices

We propose a design space for security indicators for behavioural biometrics on mobile touchscreen devices. Design dimensions are derived from a focus group with experts and a literature review. The space supports the design of indicators which aim to facilitate users' decision making, awareness and understanding, as well as increase transparency of behavioural biometrics systems. We conclude with a set of example designs and discuss further extensions, future research questions and study ideas.
The transitory evolutionary spectrum

Propose a new definition for the time-dependent spectrum of a non-stationary process. The authors show that this spectrum can be considered as the dual of Priestley's (1981) evolutionary spectrum. They demonstrate how this dual spectrum successfully characterizes signals whose components are highly localized in time. They give an estimator of this dual spectrum. Finally, they present examples which demonstrate that the new spectral definition is more suitable than current approaches for many signals. They show that the value of the method depends on the signal under consideration. They also illustrate that if the signal content is not known, then combining estimates of the evolutionary spectrum and its dual yields good results. <<ETX>>
Clearance and Organ Distribution ofMycobacterium tuberculosis Lipoarabinomannan (LAM) in the Presence and Absence of LAM-Binding Immunoglobulin M

ABSTRACT Lipoarabinomannan (LAM) is a component of the mycobacterial surface which has been associated with a variety of deleterious effects on immune system function. Despite the importance of LAM to the pathogenesis of mycobacterial infection, there is no information available on its fate in vivo. In this study, we determined the pharmacokinetics and tissue distribution of exogenously administered LAM in mice. For measurements of serum and tissue LAM concentrations, we developed an enzyme-linked immunosorbent assay which used monoclonal antibodies of different isotypes to capture and detect LAM at concentrations of ≥0.4 μg/ml. Intravenous administration of LAM to mice resulted in transient serum levels with organ deposition in the spleen and in the liver. Immunohistochemical studies localized LAM to the spleen marginal zone macrophages and, to a lesser degree, to liver macrophages. When LAM was administered to mice previously given a LAM-binding immunoglobulin M (IgM), LAM was very rapidly cleared from circulation. In those mice, deposition of LAM in the spleen was significantly reduced while LAM deposition in the liver increased. Administration of LAM-binding IgM resulted in significant levels of IgM to LAM in bile consistent with an increased hepatobiliary excretion of LAM in the presence of specific antibody. Bile, liver extracts, and bile salts were found to rapidly inactivate the immunoreactivity of LAM. The results indicate that serum clearance and organ deposition of LAM in mice are affected by the presence of LAM-binding antibody and suggest a mechanism by which antibody could modify the course of mycobacterial infection.
Cloning and functional analysis of goat SWEET 1

SWEETs are a recently discovered class of sugar transporters that mediate glucose uptake in the intestine and mammary glands. Our objectives were to clone goat SWEET1 and conduct a functional analysis of its effect on glucose efflux in goat mammary gland epithelial cells. We cloned and sequenced the goat SWEET1 gene from goat mammary glands, then conducted an analysis of the structure of goat SWEET1, including a prediction of the transmembrane helices and potential N-glycosylation sites. To investigate the biological function of goat SWEET1, we also generated goat SWEET1-transfected goat mammary gland epithelial cells using the eukaryotic expression vector pcDNA3.1-gSWEET1. Goat SWEET1 overexpression can reduce glucose absorption in mammary gland epithelial cells with increasing expression of GLUT1, GLUT4, and GLUT12, which may be attributed to glucose efflux arising from the leading role played by goat SWEET1. This study will improve our understanding of the glucose balance in mammary glands and the level of glucose in milk.
Metabolomics assisted metabolic network modeling and network wide analysis of metabolites in microbiology

Abstract Metabolomics is the science of qualitatively and quantitatively analyzing low molecular weight metabolites occur in a given biological system. It provides valuable information to elucidate the functional roles and relations of different metabolites in a metabolic pathway. In recent years, a large amount of research on microbial metabolomics has been conducted. It has become a useful tool for achieving highly efficient synthesis of target metabolites. At the same time, many studies have been conducted over the years in order to integrate metabolomics data into metabolic network modeling, which has yielded many exciting results. Additionally, metabolomics also shows great advantages in analyzing the relationship of metabolites network wide. Integrating metabolomics data into metabolic network construction and applying it in network wide analysis of cell metabolism would further improve our ability to control cellular metabolism and optimize the design of cell factories for the overproduction of valuable biochemicals. This review will examine recent progress in the application of metabolomics approaches in metabolic network modeling and network wide analysis of microbial cell metabolism.
IQGAP1 Regulates Adult Neural Progenitors In Vivo and Vascular Endothelial Growth Factor-Triggered Neural Progenitor Migration In Vitro

In the germinative zone of the adult rodent brain, neural progenitors migrate into niches delimited by astrocyte processes and differentiate into neuronal precursors. In the present study, we report a modulating role for the scaffolding protein IQGAP1 in neural progenitor migration. We have identified IQGAP1 as a new marker of amplifying neural progenitor and neuronal precursor cells of the subventricular zone (SVZ) and the rostral migratory stream (RMS) in the adult mouse brain. To determine functions for IQGAP1 in neural progenitors, we compared the properties of neural progenitor cells from wild-type and Iqgap1-null mutant mice in vivo and in vitro. The in vivo studies reveal a delay in the transition of de novo neural progenitors into neuronal precursor cells in Iqgap1-null mice. In vitro, we demonstrated that IQGAP1 acts as a downstream effector in the vascular endothelial growth factor (VEGF)-dependent migratory response of neural progenitors that also impacts on their neuronal differentiation. The Rho-family GTPases cdc42/Rac1 and Lis1 are major partners of IQGAP1 in this migratory process. Finally, astrocytes of the neurogenic SVZ and RMS are shown to express VEGF. We propose that VEGF synthesized by astrocytes could be involved in the guidance of neural progenitors to neurogenic niches and that IQGAP1 is an effector of the VEGF-dependent migratory signal.
Curcumin mediates anticancer effects by modulating multiple cell signaling pathways.

Curcumin, a component of a spice native to India, was first isolated in 1815 by Vogel and Pelletier from the rhizomes of Curcuma longa (turmeric) and, subsequently, the chemical structure of curcumin as diferuloylmethane was reported by Milobedzka et al. [(1910) 43. , 2163-2170]. Since then, this polyphenol has been shown to exhibit antioxidant, anti-inflammatory, anticancer, antiviral, antibacterial, and antifungal activities. The current review primarily focuses on the anticancer potential of curcumin through the modulation of multiple cell signaling pathways. Curcumin modulates diverse transcription factors, inflammatory cytokines, enzymes, kinases, growth factors, receptors, and various other proteins with an affinity ranging from the pM to the mM range. Furthermore, curcumin effectively regulates tumor cell growth via modulation of numerous cell signaling pathways and potentiates the effect of chemotherapeutic agents and radiation against cancer. Curcumin can interact with most of the targets that are modulated by FDA-approved drugs for cancer therapy. The focus of this review is to discuss the molecular basis for the anticancer activities of curcumin based on preclinical and clinical findings.