Miracle-dz/UniFAR-FTUs huggingface dataset:
Tailor-made exploratory visualization for statistics Sweden

Sweden's statistical databases are maintained by Statistics Sweden and can be accessed free of charge via the Web. We provide an easy-to-use, exploratory visualization application, called "GeoWizard" that lets users of these databases explore data, construct hypotheses, discover, refine, test knowledge and evaluate results. Our target user group is not restricted to experts, but we want a broader group of analysts to feel comfortable with our human interaction tools. The voluminous high-dimensional nature of the statistical databases calls for high interactive performance and creative integrated information visualization and geovisualization methods. Tailor-made and Web-enabled applications based on layered component thinking are the foundation for our research. We present a development platform approach that, instead of Java, uses Microsoft's . NET framework, which can integrate a wide range of problem-solving components, both computationally and visually. The approach facilitates . NET hierarchical layout management for implementation of dynamic and resizable views in a single coherent GUI window and the Open-Viz data model optimized for efficiency and interactivity in handling large multivariate data sets. We introduce a parallel coordinates browser (PCB) that serves as the control panel for easier identification of multivariate relationships across spatial domains in the choropleth map. The PCB integrates range sliders for both dynamic queries and conditioning that constrains the data displayed to those meeting specified parameters on all attributes in the PCB. Finally, we present a client-side, plug-in architecture that enables a light-weight GeoWizard application to be distributed across the Web to the users of the statistical databases.
A 750–1000 GHz $H$ -Plane Dielectric Horn Based on Silicon Technology

A wideband THz H-plane dielectric horn antenna based on silicon (Si) technology is proposed in this paper. The antenna can be integrated with the planar structure circuit and the dielectric ridge waveguide. To fabricate the proposed antenna, the deep reactive ion etching high-resistivity Si fabrication process is used. The size of the proposed antenna is 3.13 × 4 × 0.1 mm3. The operating frequency of the antenna ranges from 750 to 1000 GHz, which corresponds to a fractional impedance bandwidth of 28.6%. The antenna has a narrow beamwidth in the H-plane and a high gain. To test this antenna, the characterization of the metal waveguide diagonal horn for measurement is analyzed. Then the non-contact measurement method is applied to measure the designed dielectric horn. The simulated radiation efficiency of the antenna is higher than 80% while the measured gain of the antenna is larger than 8 dBi. Measured H-plane radiation patterns from the proposed antenna are presented and show reasonable agreement with the simulated results.
Optimizing Investment Strategy in Peer to Peer Lending

We present several models that attempt to maximize the Sharpe ratio of portfolios selected from loans in Lending Club. Approaches to select which loans to fund include linear and logistic regressions, as well as neural networks. Whereas results in the binary classification task of identifying fully paid and defaulted loans wasn’t a significant improvement over the baseline, our models made a good job of selecting fully paid loans whenever we limited the number of fundable loans to 1% of the total loans on the platform. Additionally, our efforts to predict high yield loans were successful. Our portfolio’s standard deviations also greatly improved over the baseline, thus providing us with better Sharpe ratios.
Inertia-driven particle migration and mixing in a wall-bounded laminar suspension flow

Laminar pressure-driven suspensionflows are studied in the situation of neutrally buoyant particles at finite Reynolds number. The numerical method is validated for homogeneous particle distribution (no lateral migration across the channel): the increase of particle slip velocities and particle stress with inertia and concentration is in agreement with former works in the literature. In the case of a two-phase channel flow with freely moving particles, migration towards the channel walls due to the Segre-Silberberg effect is observed, leading to the development of a non-uniform concentration profile in the wall-normal direction (the concentration peaks in the wall region and tends towards zero in the channel core). The particle accumulation in the region of highest shear favors the shear-induced particle interactions and agitation, the profile of which appears to be correlated to the concentration profile. A 1D model predicting particle agitation, based on the kinetic theory of granular flows in the quenched state regime when Stokes number St = O(1) and from numerical simulations when St < 1, fails to reproduce the agitation profile in the wall normal direction. Instead, the existence of secondary flows is clearly evidenced by long time simulations. These are composed of a succession of contra-rotating structures, correlated with the development of concentration waves in the transverse direction. The mechanism proposed to explain the onset of this transverse instability is based on the development of a lift force induced by spanwise gradient of the axial velocity fluctuations. The establishment of the concentration profile in the wall-normal direction therefore results from the combination of the mean flow Segre-Silberberg induced migration, which tends to stratify the suspension and secondary flows which tend to mix the particles over the channel cross section.
Investigation of DNA sensing using piezoresistive microcantilever probes

Piezoresistive microcantilever-based sensors maybe used in a variety of sensing applications, including chemical sensing and biological sensing. In these applications, a sensing material is functionalized so as to undergo a volumetric or dimensional change upon analyte exposure. A piezoresistive microcantilever in contact with, or embedded within, the sensing material records the dimensional change as a simple resistance change in the cantilever as it is strained by the volumetric shift in the sensing layer. Here, we describe the detection of single-strand DNA by utilizing a sensing layer material consisting of thiolated single-strand DNA attached to a gold film substrate. A piezoresistive microcantilever in direct contact with this layer in solution immediately responds to the presence of the complimentary (25 base) single strand.
Two dimensional luneburg lens implemented with a loaded wire grid

A new realization of the two-dimensional Luneburg lens using the capacitive loading of a wire grid is presented. The values of the load capacitances control the refractive index of the lens. The transformation of the circular phase front of the line source located on the edge of the cylindrical lens to planar phase front on the opposite side of the lens is demonstrated. The effect of the distance between the wires in the grid on the performance of the discretized Luneburg lens is investigated. It is shown that when the distance between the wires increases the source should be shifted inside the discretized lens to obtain the optimum performance. However, the achieved optimum directivity remains constant regardless of the distance between the wires.
Dynamic Record Blocking: Efficient Linking of Massive Databases in MapReduce

Record Linkage is the task of identifying which records in a database refer to the same entity. A standard machine learning approach to this problem is to train a model that assigns scores to pairs of records where pairs scoring above a threshold are said to represent the same entity. However, it is too expensive to make pairwise comparisons among all records in large databases. \Blocking" is the process of grouping similar-seeming records into blocks that a machine learning component then explores exhaustively. In many blocking approaches, records are grouped together into blocks by shared properties that are indicators of duplication. However, when dealing with very large data sources, it is nearly impossible to determine any xed set of properties at training time that will be optimal for the Zipan distribution of values for these properties that we will encounter at run time. In this paper, we propose a novel Dynamic Blocking algorithm which automatically chooses the blocking properties in a data-driven way at execution time to eciently determine which pairs of records in a data set should be examined as potential duplicates without creating the same pair across blocks. We demonstrate the viability of this algorithm for large data sets. We have scaled this system up to work on billions of records on an 80-node Hadoop cluster.
Comparing Fiducial Marker Systems Occlusion Resilience through a Robot Eye

A fiducial marker is a system of unique planar markers, that are placed in an environment and should be automatically detected with a camera through marker-specific detection procedures. Their application varies greatly, while the most popular are industrial systems, augmented reality, and robot navigation. All these applications imply that a marker system must be robust to such factors as view angles, types of occlusions, distance and light condition variations etc. Our paper compares existing ARTag, AprilTag, and CALTag systems utilizing a high fidelity camera, which is a main vision sensor of a full-size Russian humanoid robot AR-601M. Our experimental comparison verified the three marker systems reliability and detection rate in occlusions of various types and intensities and a preferable for AR-601M robot applications marker system was selected
Cutting Edge: Piezo1 Mechanosensors Optimize Human T Cell Activation

TCRs recognize peptides on MHC molecules and induce downstream signaling, leading to activation and clonal expansion. In addition to the strength of the interaction of TCRs with peptides on MHC molecules, mechanical forces contribute to optimal T cell activation, as reflected by the superior efficiency of immobilized TCR–cross-linking Abs compared with soluble Abs in TCR triggering, although a dedicated mechanotransduction module is not identified. We found that the professional mechanosensor protein Piezo1 is critically involved in human T cell activation. Although a deficiency in Piezo1 attenuates downstream events on ex vivo TCR triggering, a Piezo1 agonist can obviate the need to immobilize TCR–cross-linking Abs. Piezo1-driven Ca2+ influx, leading to calpain activation and organization of cortical actin scaffold, links this mechanosensor to optimal TCR signaling. Thus, we discovered a hitherto unknown regulatory mechanism for human T cell activation and provide the first evidence, to our knowledge, for the involvement of Piezo1 mechanosensors in immune regulation.
Constrained Efficiency in a Human Capital Model

This paper investigates whether capital and human capital are over-accumulated in an incomplete market economy. As in Dávila et al. (2012), whether capital is over-accumulated depends on how the pecuniary externalities affect insurance and redistribution. In a human capital economy, however, not only capital but also human capital generates externalities and an additional channel arises that has implications for the overaccumulation (under-accumulation) of capital (human capital). The income sources of the poor and the correlation between wealth and human capital are crucial for the implication of pecuniary externalities. Realistically calibrated models exhibit under-accumulation (overaccumulation) of capital (human capital). (JEL D52, D62, I26, J22, J24, J31)
Compact Fan-in/fan-out optical devices for multi-core fiber transmission

A pair of compact fan-in and fan-out device is developed that connects 7-core multi-core fiber and seven single mode fibers. Insertion loss is below 0.6 dB. Polarization dependent loss less than 0.1 dB (@1550 nm), and cross talk better than -50 dB (@1550 nm) are realized.
Mesenchymal stem cells generate a CD 4 + CD 25 + Foxp 3 + regulatory T cell population during the differentiation process of Th 1 and Th 17 cells

Introduction: Mesenchymal stem cells (MSCs) are adult, multipotent, stem cells with immunomodulatory properties. The mechanisms involved in the capacity of MSCs to inhibit the proliferation of proinflammatory T lymphocytes, which appear responsible for causing autoimmune disease, have yet to be fully elucidated. One of the underlying mechanisms studied recently is the ability of MSCs to generate T regulatory (Treg) cells in vitro and in vivo from activated peripheral blood mononuclear cells (PBMC), T-CD4+ and also T-CD8+ cells. In the present work we investigated the capacity of MSCs to generate Treg cells using T-CD4+ cells induced to differentiate toward the proinflammatory Th1 and Th17 lineages. Methods: MSCs were obtained from mouse bone marrow and characterized according to their surface antigen expression and their multilineage differentiation potential. CD4 T cells isolated from mouse spleens were induced to differentiate into Th1 or Th17 cells and co-cultured with MSCs added at day 0, 2 or 4 of the differentiation processes. After six days, CD25, Foxp3, IL-17 and IFN-γ expression was assessed by flow cytometry and helios and neuropilin 1 mRNA levels were assessed by RT-qPCR. For the functional assays, the ‘conditioned’ subpopulation generated in the presence of MSCs was cultured with concanavalin A-activated CD4+ T cells labeled with carboxyfluorescein succinimidyl ester. Finally, we used the encephalomyelitis autoimmune diseases (EAE) mouse model, in which mice were injected with MSCs at day 18 and 30 after immunization. At day 50, the mice were euthanized and draining lymph nodes were extracted for Th1, Th17 and Treg detection by flow cytometry. Results: MSCs were able to suppress the proliferation, activation and differentiation of CD4 T cells induced to differentiate into Th1 and Th17 cells. This substantial suppressive effect was associated with an increase of the percentage of functional induced CD4CD25Foxp3 regulatory T cells and IL-10 secretion. However, using mature Th1 or Th17 cells our results demonstrated that while MSCs suppress the proliferation and phenotype of mature Th1 and Th17 cells they did not generate Treg cells. Finally, we showed that the beneficial effect observed following MSC injection in an EAE mouse model was associated with the suppression of Th17 cells and an increase in the percentage of CD4CD25Foxp3 T lymphocytes when administrated at early stages of the disease. Conclusions: This study demonstrated that MSCs contribute to the generation of an immunosuppressive environment via the inhibition of proinflammatory T cells and the induction of T cells with a regulatory phenotype. Together, these results might have important clinical implications for inflammatory and autoimmune diseases.
Control of a multi-functional inverter for grid integration of PV and battery energy storage system

This paper presents a multi-functional control of a DC/AC inverter for Power Quality compensation of nonlinear and unequal local loads and grid integration of hybrid photovoltaic (PV) and battery energy storage systems. Multi-layer neural network estimator and a DC/DC converter are used for maximum power point tracking (MPPT) of PV array. The power system is 3-phase 4-wires and the DC/AC inverter is chosen 4-leg three phase inverter which has good performance in presence of zero sequence components. Battery energy storage is connected to PV system in common DC bus and a power management strategy is used for delivering desire power to the grid. For compensation aim, instantaneous active and reactive power theory (p-q) is used. Via the algorithm, the DC/AC inverter not only can be controlled to inject the power of battery and PV, but also it is used as shunt active filter for compensating unequal and nonlinear local loads. The simulation results which implemented in MATLAB/SIMULINK software verify the effectiveness of the system.
Noninvasive quantitative imaging of protein–protein interactions in living subjects

We are developing methods to image molecular and cellular events in living subjects. In this study, we validate imaging of protein—protein interactions in living mice by using bioluminescent optical imaging. We use the well studied yeast two-hybrid system adapted for mammalian cells and modify it to be inducible. We employ the NF-κB promoter to drive expression of two fusion proteins (VP16-MyoD and GAL4-ID). We modulate the NF-κB promoter through tumor necrosis factor α. Firefly luciferase reporter gene expression is driven by the interaction of MyoD and ID through a transcriptional activation strategy. We demonstrate the ability to detect this induced protein–protein interaction in cell culture and image this induced interaction in living mice by using transiently transfected cells. The current approach will be a valuable and potentially generalizable tool to noninvasively and quantitatively image protein–protein interactions in living subjects. The approaches validated should have important implications for the study of protein–protein interactions in cells maintained in their natural in vivo environment as well as for the in vivo evaluation of new pharmaceuticals targeted to modulate protein–protein interactions.
Isolation, Characterization, and Application of Bacteriophage LPSE1 Against Salmonella enterica in Ready to Eat (RTE) Foods

Salmonella infection is an important foodborne consumer health concern that can be mitigated during food processing. Bacteriophage therapy imparts many advantages over conventional chemical preservatives including pathogen specificity, natural derivation, potency, and providing a high degree of safety. The objective of this study aimed to isolate and characterize a phage that effectively control Salmonella food contamination. Out of 35 isolated phages, LPSE1 demonstrated a broad Salmonella host range, robust lytic ability, extensive pH tolerance, and prolonged thermal stability. The capacity for phage LPSE1 to control Salmonella Enteritidis-ATCC13076 in milk, sausage, and lettuce was established. Incubation of LPSE1 at 28°C in milk reduced recoverable Salmonella by approximately 1.44 log10 CFU/mL and 2.37 log10 CFU/mL at MOI of 1 and 100, respectively, as relative to the phage-excluded control. Upon administration of LPSE1 at an MOI of 1 in sausage, Salmonella count decreased 0.52 log10 at 28°C. At MOI of 100, the count decreased 0.49 log10 at 4°C. Incubation of LPSE1 on lettuce reduced recoverable Salmonella by 2.02 log10, 1.71 log10, and 1.45 log10 CFU/mL at an MOI of 1, 10, and 100, respectively, as relative to the negative control. Taken together, these findings establish LPSE1 as an effective weapon against human pathogenic Salmonella in various ready to eat foods.
Model and solution for capacitated facility location problem

This paper presents a new model for capacitated facility location problem, where serve radius and economic benefit are considered. In the new model, the objective is to maximize the total return investment. However, the objective for multiple knapsack problem is to maximize the total profit. So the capacitated facility location problem can be translated into multiple knapsack problem. Because this problem is difficult to solve, we propose a hybrid harmony search algorithm, which incorporates harmony search algorithm with greedy algorithm. Numerical results from computational experiments are presented and analyzed.
The Piezoresistive Effect in Top–Down Fabricated p-Type 3C-SiC Nanowires

This letter reports on the piezoresistive effect of top-down fabricated 3C-SiC nanowires (NWs). Focused ion beam was utilized to create p-type 3C-SiC NWs from a 3C-SiC thin film with a carrier concentration of 5 × 1018 cm-3 epitaxially grown on a Si substrate. The as-fabricated NWs were then subjected to tensile strains varying from 0 to 280 με. Experimental data showed that the p-type 3C-SiC NWs possess a large gauge factor of 35, which is at least one order of magnitude larger than that of other hard materials, such as carbon nanotubes and graphene. This large gauge factor and the linear relationship between the relative resistance change and the applied strain in the SiC NWs indicate their potential for nanoelectromechanical systems sensing applications.
Cluster Analysis Based on Artificial Immune System and Ant Algorithm

Ant algorithm is a meta-heuristic approach successfully applied to solve hard combinatorial optimization problems. It is also feasible for clustering analysis in data mining. Many researches use ant algorithms for clustering analysis and the result is better than other heuristic methods. In order to improve the performance of the algorithm, the artificial immune system is utilized to strengthen the ant algorithm for clustering analysis. In this paper, we proposes a new algorithm for clustering problem, the immunity-based Ant Clustering Algorithm (IACA). I AC A using the artificial immune system and ant algorithm is an auto-clustering method which can decide the number of the clusters and its centroids. In this research, the proposed algorithm and these two clustering methods will be verified by 243 data sets are generated by Monte Carlo method to evaluate the performance of our proposed method and other methods.
Printed in Great Britain THE EFFECTS OF STARVATION AND LIGHT ON INTRA-MITOCHONDRIAL GRANULES IN PHYSARUM

The presence of spherical or rod-shaped electron-dense particles was noted within the mitochondrial cristae of Physarum polycephalum plasmodia. When sporulation was stimulated by starvation and subsequent illumination it was found that the numbers of such particles present per mitochondrion increased during the starvation phase, reaching a maximum after about 4 days, and then decreased rapidly during exposure of the plasmodium to light. Few particles were present in the mitochondria of spores. It is suggested that the particles may be similar to the mitochondrial granules of other organisms in providing a repository of calcium, which in Physarum is deposited in the capillitium during sporulation.
Maximizing the Lifetime of Two-Tiered Sensor Networks

Recent technological advances in the field of micro-electro-mechanical systems (MEMS) have made the development of multi-functional sensor nodes technically and economically feasible. The lifetime of sensor networks is still limited as individual sensor nodes are usually powered by battery. In the past few years, the use of relay nodes in sensor networks has been proposed in literature for balanced data gathering, reduction of transmission range, connectivity and fault tolerance. In hierarchical sensor networks, higher-powered relay nodes can also be used as cluster heads. These relay nodes may form a network among themselves and route data towards the base station. In such a sensor network, the lifetime of the network is directly related to the lifetime of these relay nodes. In this paper, we have proposed an ILP solution for scheduling the data gathering of relay nodes such that the lifetime of the relay node network is maximized. We have compared our formulation with the direct transmit energy model and shown that it can lead to significant improvements. We have also proposed a re-scheduling approach which can further extend the maximized lifetime of the network