Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantification of human immunoglobulin G immobilized on gold-coated silicon chip for biosensing applications

The most important aspect of biosensor development with high sensitivity is the oriented immobilization of antibodies on the solid substrate. Human IgG was immobilized on gold-coated silicon employing protein A, protein G and neutravidin immobilization procedures. The amount of human IgG immobilized was analyzed by 3, 3′, 4, 4′- tetramethyl benzidine (TMB) substrate assay and was maximum when protein A immobilization procedure was followed. Human IgG coated biosensing surface was regenerated by treatment with glycine-HCl buffer (50 mM, pH 2.2). Atomic force microscopy was used to analyze the distribution of biomolecules immobilized on gold-coated silicon. Our study indicates that human IgG molecules were uniformly bound to gold-coated silicon by protein A immobilization procedure.
Spinodal Decomposition in Ni-Nb-Y Metallic Glasses Analyzed by Quantitative Anomalous Small-Angle X-ray Scattering

Phase separated Ni-Nb-Y metallic glasses were prepared by means of rapid quenching from the melt. Quantitative Anomalous Small-Angle X-ray Scattering experiments were performed at the K-absorption edges of Nickel, Niobium and Yttrium. The paper outlines, that the separation of the pure-resonant scattering contribution is obtained by employing the Gaussian algorithm on a vector equation. Moreover the quantitative analysis of the Resonant Invariant at the K-absorption edges of Niobium and Yttrium provided the chemical concentrations of Yttrium and Niobium in the random density fluctuations, which are attributed to spinodal decomposition. The results are compared to a partially crystallized sample annealed at 773 K over 30 minutes.
Subnetwork analysis for multistationarity in mass action kinetics

Since quantitative knowledge of the complex (bio)chemical reaction networks is often very limited, formal methods that connect network structure and dynamic behavior are needed in mathematical modeling and analysis. Feinberg's Chemical Reaction Network Theory allows for the classification of the potential network behavior, for instance, with respect to the existence of multiple steady states, but is computationally limited to small systems. Here, we show that by analyzing subnetworks associated to stoichiometric generators, the applicability of the theory can be extended to more complex networks. Moreover, based on mild conditions regarding multiststionarity of such subnetworks, we present an algorithm which establishes multistationarity in the overall network. For example-networks inspired by cell cycle control in budding yeast, the approach allows for identification of key mechanisms for multistationarity, for model discrimination and for robustness analysis. The present paper continues and extends our work that has appeared in PNAS (cf. [6]).
Experimental Research and Parameters Optimization of a Prototype OWC Wave Power Device

The paper presents the experimental research and parameters optimization of a prototype oscillating water column (OWC) wave power device being built in China by Guangzhou Institute of Energy Conversion. Being different from the usual OWC experiments, the topography next to the device was taken into account, the effect of the harbour in front of the device was investigated, and the shapes of the harbour was optimized in the experiment.
EEG/MEG forward simulation through h- and p-type finite elements

Electro/Magnetoencephalography (EEG/MEG) is a non-invasive imaging modality, in which a primary current density generated by the neural activity in the brain is to be reconstructed from external electric potential/magnetic field measurements. This work focuses on effective and accurate simulation of the EEG/MEG forward model through the h- and p-versions of the finite element method (h- and p-FEM). The goal is to compare the effectiveness of these two versions in forward simulation. Both h- and p-type forward simulations are described and implemented, and the technical solutions found are discussed. These include, for example, suitable ways to generate a finite element mesh for a real head geometry through the use of different element types. Performances of the two implemented forward simulation types are compared by measuring directly the forward modeling error, as well as by computing reconstructions through a regularized FOCUSS (FOCal Underdetermined System Solver) algorithm. The results obtained suggest that the p-type performs better in terms of the forward modeling error. However, both types perform well in regularized FOCUSS reconstruction.
AUTOMATIC SEGMENTATION OF BREAST TISSUE THERMAL IMAGES

Breast cancer is one of the main causes of women’s death. Thermal breast imaging is one the non-invasive method for cancer at early stage diagnosis. In contrast to mammography this method is cheap and painless and it can be used during pregnancy while ionized beams are not used. Specialists are seeking new ways to diagnose the cancer in early stages. Segmentation of the breast tissue is one of the most indispensable stages in most of the cancer diagnosis methods. By the advancement of infrared precise cameras, new and fast computers and nouvelle image processing approaches, it is feasible to use thermal imaging for diagnosis of breast cancer at early stages. Since the breast form is different in individuals, image segmentation is a hard task and semi-automatic or manual methods are usual in investigations. In this research the image data base of DMR-IR has been utilized and a now automatic approach has been proposed which does not need learning. Data were included 159 gray images used by dynamic protocol (132 healthy and 27 patients). In this study, by combination of different image processing methods, the segmentation of thermal images of the breast tissues have been completed automatically and results show the proper performance of recommended method.
Accurate vision-based displacement and vibration analysis of bridge structures by means of an image-assisted total station

Today, short- and long-term structural health monitoring of bridge infrastructures and their safe, reliable and cost-effective maintenance have received considerable attention. For this purpose, image-assisted total station (here, Leica Nova MS50 MultiStation) as a modern geodetic measurement system can be utilized for accurate displacement and vibration analysis. The Leica MS50 measurements comprise horizontal angles, vertical angles and distance measurements in addition to the captured images or video streams with practical sampling frequency of 10 Hz using an embedded on-axis telescope camera. Experiments were performed for two case studies under (1) a controlled laboratory environment and (2) a real-world situation observing a footbridge structure using a telescope camera of the Leica MS50. Furthermore, two highly accurate reference measurement systems, namely, a laser tracker Leica AT960-LR and a portable shaker vibration calibrator 9210D in addition to the known natural frequencies of the footbridge structure calculated from the finite element model analysis are used for validation. The feasibility of an optimal passive target pattern and its accurate as well as reliable detection at different epochs of time were investigated as a preliminary step. Subsequently, the vertical angular conversion factor of the telescope camera of the Leica MS50 was calibrated, which allows for an accurate conversion of the derived displacements from the pixel unit to the metric unit. A linear regression model in terms of a sum of sinusoids and an autoregressive model of the coloured measurement noise were employed and solved by means of a generalized expectation maximization algorithm to estimate amplitudes and frequencies with high accuracy. The results show the feasibility of the Leica MS50 for the accurate displacement and vibration analysis of the bridge structure for frequencies less than 5 Hz.
Critical points for finite Fibonacci chains of point delta-interactions and orthogonal polynomials

For a one-dimensional Schrödinger operator with a finite number n of point delta-interactions with a common intensity, the parameters are the intensity, the n − 1 intercenter distances and the mass. Critical points are points in the parameters space of the Hamiltonian where one bound state appears or disappears. The study of critical points for Hamiltonians with point delta-interactions arranged along a Fibonacci chain is shown to be closely related to the study of the so-called Fibonacci operator, a discrete one-dimensional Schrödinger-type operator, which occurs in the context of tight binding Hamiltonians. These critical points are the zeros of orthogonal polynomials previously studied in the context of special diatomic linear chains with elastic nearest-neighbor interaction. Properties of the zeros (location, asymptotic behavior, gaps, …) are investigated. The perturbation series from the solvable periodic case is determined. The measure which yields orthogonality is investigated numerically from the zeros. It is shown that the transmission coefficient at zero energy can be expressed in terms of the orthogonal polynomials and their associated polynomials. In particular, it is shown that when the number of point delta-interactions is equal to a Fibonacci number minus 1, i.e. when the intervals between point delta-interactions form a palindrome, all the Fibonacci chains at critical points are completely transparent at zero energy.
Network-derived inhomogeneity in monthly rainfall analyses over western Tasmania

Monthly rainfall in the wetter western half of Tasmania was relatively poorly observed in the early to middle parts of the 20th century, and this causes a marked inhomogeneity in the operational gridded monthly rainfall analyses generated by the Australian Bureau of Meteorology up until the end of 2009. These monthly rainfall analyses were generated for the period 1900 to 2009 in two forms; a national analysis at 0.25° latitude-longitude resolution, and a southeastern Australia regional analysis at 0.1° resolution. For any given month, they used all the monthly data from the standard Bureau rainfall gauge network available in the Australian Data Archive for Meteorology. Since this network has changed markedly since Federation (1901), there is obvious scope for network-derived inhomogeneities in the analyses. In this study, we show that the topography-resolving techniques of the new Australian Water Availability Project analyses, adopted as the official operational analyses from the start of 2010, substantially diminish those inhomogeneities, while using largely the same observation network. One result is an improved characterisation of recent rainfall declines across Tasmania. The new analyses are available at two resolutions, 0.25° and 0.05°.
Quasi-synchronous Quenching Micro Distortion in ZL205A Aluminum Alloy Large Thin-wall Workpiece Based on Equal-Biot Number

： The equal-Biot number model, on differential wall thickness and/ or differential wall structure workpieces heating or quenching zero distortion, proposed by the researchers for the worldwide problem on the distortion control of workpieces during hot processing. Overall heat transfer coefficient h is replaced by Biot number for the first time. Biot number is introduced into the temperature field equation, and the coupled model of dynamic temperature field and stress field which changes with Biot number is built. The temperature field and stress field in ZL205A aluminum alloy differential wall thickness workpiece is predicted by ABAQUS software. The simulation results indicate that the quenching distortion in ZL205A aluminum alloy workpiece stem from the difference in temperature between thick-wall parts and thin-wall parts. The ratio of thin-wall thickness to thick-wall thickness of this workpiece is one to four, the maximum difference in temperature is 276 ℃ between thin-wall keypoints and thick-wall keypoints, the maximum thermal stress is 84 MPa in thick-wall parts more than the yield strength of this alloy on the corresponding temperature, and then the radial distortion occurred, on the 0.37 s quenching time after solution 540 ℃ . The equal-Biot number of the differential wall thickness is achieved by coating high heat conduction layers to thick-wall parts or low heat conduction layers to thin-wall parts. The distortion after 540 ℃ solution and quenching is predicted. The results indicate that the quenching distortion reducing 82.6 percent compared with the workpiece without coating layer. The quasi-synchronous quenching of differential wall thickness workpiece is achieved.
Higher-dimensional Nearest Neighbor Search by Distributed Coding

In this paper we propose a fast approximate nearest neighbor search algorithm in a high dimensional spherical space using an idea called "distributed coding" which is to represent a vector by a set of many vectors and encode them efficiently. We implemented the algorithm and tested it with synthetic data. The results show that the proposed method exceeds a popular approximate nearest neighbor library, "ANN" in search time and accuracy in the case of higher-dimension and a large number of prototypes. Keyword Approximate Nearest Neighbor, Distributed Coding, k-d tree, Locality Sensitive Hashing 1. はじめに
Isolation and characterization of yeast isolated from civet (Paradoxorus hermaphroditus)

Civet coffee is one of the most popular coffee in the world. This coffee is fermented naturally in the digestive tract of civet (Paradoxorus hermaphroditus). The coffee fermentation is characterized by the presence of different microorganisms belonging to the groups of yeast, fungi and bacteria. The aim of this work were to isolation and characterization of yeast isolated from civet. The isolation was carried out using Sabouraud Dextrose Agar (SDA). A total of three different yeasts (YC1, YC2 and YC3) were isolated and subjected to morphology and biochemical test. The result showed that all isolates had various characteristics on carbohydrate fermentation, temperature tolerance and proteolityc activity. Two isolates (YC1 and YC2) showed good proteolityc activity. Further investigation is needed to identify and select of yeast performance on coffee fermentation.
Compact dual-band monopole antenna with defected ground plane for Internet of things

Internet of things (IoT) is a complex network of physical objects capable of wirelessly communicating with each other. For implementing such an enormous network, the authors design a compact dual-band antenna with simple structure. By folding the radiating element and resetting the ground plane, the whole size of the designed antenna is only 14 mm × 14 mm same as a thumbnail, which makes the designed antenna easy to fabricate. The fabricated antenna can operate (return loss S 11 <;-10 dB) at two operating bands of 3.4-3.6 GHz for 5G and 5.725-5.825 GHz for 5.8G Wi-Fi, which means it is able to connect the IoT nodes to the Internet through 5G and Wi-Fi network. Simulation and measured results demonstrate that (i) folding the L-shaped stub into U-shaped can reduce the dimension of antenna, and resetting the ground plane structure to parallel to the feed-line can achieve better impedance matching between the designed antenna and the sub-miniature-A (SMA) connector in both operating bands; (ii) the fabricated antenna is able to fully cover the operating bands of 5G at 3.4-3.6 GHz and Wi-Fi at 5.725-5.825 GHz, and can achieve nearly omnidirectional radiation patterns over the two operating bands.
Study on driver’s turning intention recognition hybrid model of GHMM and GGAP-RBF neural network

The accuracy and real time are crucial in turning intention recognition. Therefore, a hybrid model of Gaussian mixture hidden Markov and generalized growing and pruning algorithm for radial basis function neural network is constructed to recognize driver turning intention real timely. The feature parameters of the driving intention identification are determined using principal component analysis. The turning initial stage is selected for identifying turning intention, thus improving the real time of hybrid model. Using support vector machine model and Gaussian mixture hidden Markov model and Gaussian mixture hidden Markov model/generalized growing and pruning algorithm for radial basis function hybrid model, driver turning intention is identified in normal turning and sharp turning. The results show that Gaussian mixture hidden Markov model/generalized growing and pruning algorithm for radial basis function hybrid model identifies turning intention accurately and more efficiently. The accuracy is as high as 96.88% in the normal turning, which is 24.53% higher than that obtained using the Gaussian mixture hidden Markov model and 25.88% higher than that obtained using the support vector machine. The recognition in the turning initial stage is 1.8 s quicker than that in the turning keeping stage. The identification accuracy and real time of hybrid model are substantially better than those of the Gaussian mixture hidden Markov model and support vector machine, especially in the normal turning. When applied in control systems, this method can improve the safety and comfort of vehicle operation and reduce the burden of drivers.
Dirac equation for electrodynamic model particles

We set up the Maxwell's equations and subsequently the classical wave equations for the electromagnetic waves which together with their generating source, an oscillatory charge of zero rest mass in general travelling, make up a particle travelling similarly as the source at velocity ν in the field of an external scalar and vector potentials. The direct solutions in constant external field are Doppler-displaced plane waves propagating at the velocity of light c; at the de Broglie wavelength scale and expressed in terms of the dynamically equivalent and appropriate geometric mean wave variables, these render as functions identical to the space-time functions of a corresponding Dirac spinor, and in turn identical to de Broglie phase waves previously obtained from explicit superposition. For two spin-half particles of a common set of space-time functions constrained with antisymmetric spin functions as follows the Pauli principle for same charges and as separately indirectly induced based on experiment for opposite charges, the complete wave functions are identical to the Dirac spinor. The back-substitution of the so explicitly determined complete wave functions in the corresponding classical wave equations of the two particles, subjected further to reductions appropriate for the stationary-state particle motion and to rotation invariance when in three dimensions, give a Dirac equation set; the procedure and conclusion are directly extendible to arbitrarily varying potentials by use of the Furious theorem and to particle motions in three dimensions by virtue of the characteristics of de Broglie particle motion. Through the derivation of the Dirac equation, the study hopes to lend insight into the connections between the Dirac wave functions and the electrodynamic components of simple particles under the government by the well established basic laws of electrodynamics.
Sustainable futures in the built environment to 2050: a foresight approach to construction and development

This book focuses on both construction and development issues, and examines how we can transition to a sustainable future by the year 2050—bringing together leading research and practice at building, neighbourhood, and city levels. It deftly analyses how emerging socio-economic, technological, and environmental trends will influence the built environment of the future. The book covers a broad spectrum of interests across the scales of buildings, communities and cities, including how professional practice will need to adapt to these trends. The broader context is provided by an analysis of emergent business models and the changing requirements for expert advice from clients.
Design of Peak Efficiency of 85.3% WPC/PMA Wireless Power Receiver Using Synchronous Active Rectifier and Multi Feedback Low-Dropout Regulator

An efficient synchronous active rectifier and Multi Feedback low drop out (LDO) Regulator coupled with a wireless power receiver (WPR) is proposed in this study. An active rectifier with maximum power conversion efficiency (PCE) of 94.2% is proposed to mitigate the reverse leakage current using zero current sensing. Output voltage and current are regulated by multi-feedback LDO regulator, sharing the single path transistor. The proposed chip is fabricated in the 0.18 μm BCD technology having die area of 16.0 mm2. A 94.2% power conversion efficiency with the load current of 800 mA is measured for the proposed active rectifier.
Zeros and points of discontinuity of the commutator function of the free Dirac field

The properties of the commutator function of the free electron Dirac field, zeros of which respond to the independent measurements of the electron charge density in two different points of the space-time, are discussed. The established properties of one-space dimensional commutator function D(x; t) in the discrete representation, show the dependency of the number and location of its zeros and points of discontinuity on the value of normalizing factor. In this connection, the following new property of the commutator function is found: the length of the time interval containing at least one zero of D(x; t) depends on the relation between the value of the normalizing factor and the Compton wavelength of the electron.
Non‐invasive ventilation for severe bronchiolitis: Analysis and evidence

(1) To examine whether infants with severe bronchiolitis, fulfilling criteria for further respiratory support, could be managed outside a Pediatric Intensive Care Unit (PICU) with non‐invasive ventilation (NIV) alone. (2) To study the characteristics, clinical course and outcome of NIV responders and non responders to assess safety and efficacy and inform guideline construction.
FPGA based data-flow injection module at 10 Gbit/s reading data from network exported storage and using standard protocols

The goal of the LHCb readout upgrade is to accelerate the DAQ to 40 MHz. Such a DAQ system will certainly employ 10 Gigabit or similar technologies and might also need new networking protocols such as a customized, light-weight TCP or more specialized protocols. A test module is being implemented to be integrated in the existing LHCb infrastructure. It is a multiple 10-Gigabit traffic generator, driven by a Stratix IV FPGA, and flexible enough to generate LHCb's raw data packets. Traffic data are either internally generated or read from external storage via the network. We have implemented a light-weight industry standard protocol ATA over Ethernet (AoE) and we present an outlook of using a file-system on these network-exported disk-drivers.