Miracle-dz/UniFAR-FTUs huggingface dataset:
Nomenclature of genetic variants in hemostasis

A. C . GOODEVE ,* P . H . RE ITS M A and J . H . MCVEY ,§ ON BEHALF OF THE WORKING GROUP O N NOMENCLATURE OF THE SC IENT I F IC AND ST ANDA RDI SAT I O N COMMIT TEE OF THE IN TERN AT IONA L SOC IETY ON TH ROMBOS IS AN D H AEMOSTA S IS *Haemostasis Research Group, University of Sheffield; Sheffield Diagnostic Genetics Service, Sheffield Children s NHS Foundation Trust, Sheffield, UK; Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, the Netherlands; and §Thrombosis Research Institute, London, UK
A new pixel shiftmap prediction method based on Generalized Regression Neural Network

This paper proposes a new atmospheric warp estimation method based on Artificial Neural Network (ANN). We employed a Generalized Regression Neural Network (GRNN) for a-priori estimation of the upcoming warped frames using history of the previous frames. A non-rigid image registration technique is used for determining pixel shifts of the captured frames with respect to the reference frame. The proposed method is independent of the pixel-wander model. The performance of the method is evaluated using various quality metrics. Simulation results show that the proposed method provides substantial estimation of the upcoming frames with considerable errors.
Physicochemical, Gel Structure and Morphology Properties of Nano Rice Starch Prepared by Ultrasound

Nano rice starch prepared by ultrasonic-assisted inverse suspension polymerization was investigated on its physicochemical, gel structure and morphology properties. Water solubility index (WSI) under different temperatures and water absorption index (WAI) of nano rice starch and native starch were studied in this paper. WAI of native starch was 8.67%, and that of nano starch increased 38.45%, compared with native starch. WSI of native starch was respectively 0.024%, 0.057%, 0.111%, 0.211% under 30°C, 40°C, 50°C, 60°C, however, that of nano starch respectively increased to 1.32%, 1.430%, 1.527%, 1.513%. Gel strength of nano starch was 3.20g, and native starch increased to 62.87g. The structure of native rice starch granules was polyhedron with pronounced edges, however, granule size of nano starch became small, and nano starch appeared significant agglomeration.
Influence of Shrinkage and Creep of the Concrete Slab on the Mechanical Behavior of Steel Arch Bridge

Steel and concrete composite structures are widely used in bridge engineering, for it can fully utilize the compression property of concrete and tensile behavior of the steel. However, the coupled behavior of shrinkage and creep exist in concrete. The creep behavior is dependent on the initial stress, while shrinkage is not. The shrinkage and creep of the concrete have a significant influence on the internal force and deformation and it may cause the cracking or even the failure of the structure. Nowadays, precast concrete slab is widely adopted in the composite bridges to reduce the effect of shrinkage and creep. Storage time is a critical parameter for the precast concrete slab to reach the best economic benefit and mechanical behavior of the structure. Therefore, in this paper, the finite element model of Xinshiji Bridge with the consideration of the relative slip between the steel and concrete was established to investigate the influence of loading age of the concrete on the mechanical behavior of the composite bridge, and the optimal storage time was determined.
MESH: measuring errors between surfaces using the Hausdorff distance

This paper proposes an efficient method to estimate the distance between discrete 3D surfaces represented by triangular 3D meshes. The metric used is based on an approximation of the Hausdorff distance, which has been appropriately implemented in order to reduce unnecessary computation and memory usage. Results show that when compared to similar tools, a significant gain in both memory and speed can be achieved.
Resource Allocation for Wireless Networks with Energy Harvesting Constraints Over Fading Channels

This research work considers the utilize of energy harvesters, instead of conventional time-invariant energy sources, in wireless communication. For the purpose of exposition, we study the traditional two-hop communication system for delay limited (DL) and delay tolerant (DT) relaying networks over fading channels, in which the source node transmits with power drawn from energy harvesting (EH) sources and the relay transmits with conventional non-EH sources. We address the throughput maximization problem for the proposed system model for DL and DT cases. We find that the optimal power allocation algorithm for the single-hop communication system with EH constraints, namely, recursive geometric water-filling (RGWF), can be utilized as a guideline for the design of the two-hop system. We first introduce RGWF algorithm and we show the advantages of the geometric approach in eliminating the complexity of the Karush-Kuhn-Tucker (KKT) condition as well as providing a closed-form and exact solutions to the proposed problem. Based on the RGWF algorithm, we propose offline joint power allocation and transmission time scheduling schemes for DL relaying network and DT relaying network. We also propose efficient online resource allocation schemes for both relays’ cases. The performance of the proposed schemes is evaluated via simulation and the results demonstrate that a network with delay tolerant ability provides better performance in
Optimal Exact-Regenerating Codes for Distributed Storage at the MSR and MBR Points via a Product-Matrix Construction

Regenerating codes are a class of distributed storage codes that allow for efficient repair of failed nodes, as compared to traditional erasure codes. An [n, k, d] regenerating code permits the data to be recovered by connecting to any k of the n nodes in the network, while requiring that a failed node be repaired by connecting to any d nodes. The amount of data downloaded for repair is typically much smaller than the size of the source data. Previous constructions of exact-regenerating codes have been confined to the case n=d+1 . In this paper, we present optimal, explicit constructions of (a) Minimum Bandwidth Regenerating (MBR) codes for all values of [n, k, d] and (b) Minimum Storage Regenerating (MSR) codes for all [n, k, d ≥ 2k-2], using a new product-matrix framework. The product-matrix framework is also shown to significantly simplify system operation. To the best of our knowledge, these are the first constructions of exact-regenerating codes that allow the number n of nodes in the network, to be chosen independent of the other parameters. The paper also contains a simpler description, in the product-matrix framework, of a previously constructed MSR code with [n=d+1, k, d ≥ 2k-1].
Laterality of Temporoparietal Causal Connectivity during the Prestimulus Period Correlates with Phonological Decoding Task Performance in Dyslexic and Typical Readers

We examined how effective connectivity into and out of the left and right temporoparietal areas (TPAs) to/from other key cortical areas affected phonological decoding in 7 dyslexic readers (DRs) and 10 typical readers (TRs) who were young adults. Granger causality was used to compute the effective connectivity of the preparatory network 500 ms prior to presentation of nonwords that required phonological decoding. Neuromagnetic activity was analyzed within the low, medium, and high beta and gamma subbands. A mixed-model analysis determined whether connectivity to or from the left and right TPAs differed across connectivity direction (in vs. out), brain areas (right and left inferior frontal and ventral occipital–temporal and the contralateral TPA), reading group (DR vs. TR), and/or task performance. Within the low beta subband, better performance was associated with increased influence of the left TPA on other brain areas across both reading groups and poorer performance was associated with increased influence of the right TPA on other brain areas for DRs only. DRs were also found to have an increase in high gamma connectivity between the left TPA and other brain areas. This study suggests that hierarchal network structure rather than connectivity per se is important in determining phonological decoding performance.
Noise analysis and reduction in solid-state nanopores

The electrical noise characteristics of ionic current through organic and synthetic nanopores have been investigated. Comparison to proteinaceous alpha-Hemolysin pores reveals two dominant noise sources in silicon nitride nanometre-scale pores: a high-frequency noise associated with the capacitance of the silicon support chip (dielectric noise), and a low-frequency current fluctuation with 1/fα characteristics (flicker noise). We present a technique for reducing the dielectric noise by curing polydimethylsiloxane (PDMS) on the nanopore support chip. This greatly improves the performance of solid-state nanopore devices, yielding an unprecedented signal-to-noise ratio when observing dsDNA translocation events and ssDNA probe capture for force spectroscopy applications.
Predictive Control Algorithm Including Conduction-Mode Detection for PFC Converter

This paper proposes a predictive control algorithm that includes conduction-mode detection for power factor correction (PFC) converter. In PFC converters, the line current is usually distorted because of the characteristics of the proportional-integral (PI) current controller. To improve the quality of the current, the PI current controller requires additional circuits or algorithms. However, because of the optimal duty cycle determined by estimating the next-state current in both the continuous-conduction mode and the discontinuous-conduction mode, the proposed predictive control method has a fast dynamic response and accuracy compared to the PI current-control method. Moreover, the proposed algorithm can detect the conduction mode without any additional circuitry or mode-detection algorithm using the characteristic of the optimal duty cycle calculated by the predictive control. These advantages of the proposed algorithm improve the quality of the line current for PFC converters. We verify the proposed method by performing experiment using a 1.5-kW PFC converter.
Effect of Poly(vinyl alcohol)/Chitosan Ratio on Electrospun-Nanofiber Morphologies

Series of poly (vinyl alcohol)/chitosan (PVA/CS) electrospun nanofibers with different weight ratio of PVA and CS were fabricated by electrospinning method. The surface morphology, diameter, and structure of electrospun nanofibers were investigated by scanning electron microscopy (SEM). As a result of PVA and CS composition measurements, the electrospun nanofibers morphologies were mainly affected by weight ratio of the polymer solution. When increasing the chitosan content in the blend solution, the electrospun nanofibers could hardly form. This result indicates that the electrospun nanofiber formation is enhanced by chitosan content.
Classification of Normal and Pathological Brain Networks Based on Similarity in Graph Partitions

We consider a task of classifying normal and pathological brain networks. These networks (called connectomes) represent macroscale connections between predefined brain regions, hence, the nodes of connectomes are uniquely labeled and the set of labels (brain regions) is the same across different brains. We make use of this property and hypothesize that connectomes obtained from normal and pathological brains differ in how brain regions cluster into communities. We develop an algorithm that computes distances between brain networks based on similarity in their partitions and uses these distances to produce a kernel for a support vector machine (SVM) classifier. We demonstrate how the proposed model classifies brain networks of carriers and non-carriers of an allele associated with an increased risk of Alzheimer's disease. The obtained classification quality is ROC AUC 0.7 which is higher than that of the baseline.
Polymeric Photosensitizer Prodrugs for Photodynamic Therapy

A targeting strategy based on the selective enzyme‐mediated activation of polymeric photosensitizer prodrugs (PPP) within pathological tissue has led to the development of agents with the dual ability to detect and treat cancer. Herein, a detailed study of a simple model system for these prodrugs is described. We prepared “first‐generation” PPP by directly tethering the photosensitizer (PS) pheophorbide a to poly‐(l)‐lysine via epsilon amide links and observed that by increasing the number of PS on a polymer chain, energy transfer between PS units improved leading to better quenching efficiency. Fragmentation of the PPP backbone by trypsin digestion gave rise to a pronounced fluorescence increase and to more efficient generation of reactive oxygen species upon light irradiation. In vitro tests using the T‐24 bladder carcinoma cell line and ex vivo experiments using mouse intestines illustrated the remarkable and selective ability of these PPP to fluoresce and induce phototoxicity upon enzymatic activation. This work elucidated the basic physicochemical parameters, such as water solubility and quenching/activation behavior, required for the future elaboration of more adaptable “second‐generation” PPP, in which the PS is tethered to a proteolytically stable polymer backbone via enzyme‐specific peptide linkers. This polymer architecture offers great flexibility to tailor make the PPP to target any pathological tissue known to over‐express a specific enzyme.
Xenobiotic-Induced Loss of Tolerance in Rabbits to the Mitochondrial Autoantigen of Primary Biliary Cirrhosis Is Reversible1

Previous work has demonstrated that immunization of rabbits with the xenobiotic 6-bromohexanoate coupled to BSA breaks tolerance and induces autoantibodies to mitochondria in rabbits. Such immunized rabbits develop high-titer Abs to pyruvate dehydrogenase complex (PDC)-E2, the major autoantigen of primary biliary cirrhosis. In efforts to map the fine specificity of these autoantibodies, rabbits were immunized biweekly with 6-bromohexanoate-BSA and screened for reactivity using a unique xenobiotic-peptide-agarose microarray platform with an emphasis on identifying potential structures that mimic the molecular image formed by the association of lipoic acid with the immunodominant PDC-E2 peptide. Essentially, a total of 23 xenobiotics and lipoic acid were coupled to the 12-mer peptide backbones, PDC, a mutant PDC, and albumin. As expected, we succeeded in breaking tolerance using this small organic molecule coupled to BSA. However, unlike multiple experimental methods of breaking tolerance, we report in this study that, following continued immunization, the rabbits recover tolerance. With repeated immunization, the response to the rPDC-E2 protein increased with a gradual reduction in autoantibodies against the lipoic acid-peptide, i.e., the primary tolerance-breaking autoantigen. Detailed analysis of this system may provide strategies on how to restore tolerance in patients with autoimmune disease.
Optimization of Blue Light Induced Hyperbranched Polyurethane Acrylate System Applied to Textiles

The introduction of blue light curing to dyeing and finishing will be save energy and reduce emission. Searching out blue light cured polymers of high strength and good flexibility is immediately needed. Hyperbranched polyurethane acrylate (HBPUA) exhibits relatively low viscosity and good mechanical property. Typical acrylate monomers of low smell were copolymerized with HBPUA, subsequently, the tensile mechanical property and flexibility of blue light cured polymers were evaluated in contrast of commercial adhesives. The concentration of monomer was further optimized and the dynamic mechanical property of selected film was presented. The results show that 80/20 HBPUA/TPGDA copolymer is thought of the most suitable system for textiles in this study. The related character of 80/20 HBPUA/TPGDA blue light cured system is listed below: 52.3% reaction conversion, 7.2MPa tensile stress, 9.2% fracture elongation, 61.8°C glass transition temperature.
Wearable Health Information: Effects of Comparative Feedback and Presentation Mode

Wearable devices with health monitoring and activity tracking functions are experiencing increasing popularity and allow users to become more aware of their health-related behavior. To find more effective ways of delivering health information to users, this study examined the psychological effects of forms of health feedback (comparative vs. non-comparative) and presentation modes (text vs. image) on users' tendencies toward health conservation. Results from a between-subjects experiment (N = 40) revealed that health information in a comparative and textual format was more effective in encouraging health conservation in participants than identical information presented in a non-comparative and image format. In addition, participants' level of health consciousness emerged as a significant predictor. The implications of the key findings are discussed.
In data veritas: data driven testing for distributed systems

The increasing deployment of distributed systems to solve large data and computational problems has not seen a concomitant increase in tools and techniques to test these systems. In this paper, we propose a data driven approach to testing. We translate our intuitions and expectations about how the system should behave into invariants, the truth of which can be verified from data emitted by the system. Our particular implementation of the invariants uses Q, a high-performance analytical database, programmed with a vector language. To show the practical value of this approach, we describe how it was used to test Helix, a distributed cluster manager deployed at LinkedIn. We make the case that looking at testing as an exercise in data analytics has the following benefits. It (a) increases the expressivity of the tests (b) decreases their fragility and (c) suggests additional, insightful ways to understand the system under test. As the title of the paper suggests, there is truth in the data --- we only need to look for it.
PARADISE: A Framework for Evaluating Spoken Dialogue Agents

This paper presents PARADISE (PARAdigm for DIalogue System Evaluation), a general framework for evaluating spoken dialogue agents. The framework decouples task requirements from an agent's dialogue behaviors, supports comparisons among dialogue strategies, enables the calculation of performance over subdialogues and whole dialogues, specifies the relative contribution of various factors to performance, and makes it possible to compare agents performing different tasks by normalizing for task complexity.
Early embryonic expression patterns of the mouse Flamingo and Prickle orthologues

The Drosophila melanogaster proteins Flamingo and Prickle act in the planar cell polarity (PCP) pathway, which is required for acquisition of epithelial polarity in the wing, eye, and epidermis. In mammals, PCP signaling has been shown to regulate cell movements and polarity in a variety of tissues. Here, we show that the murine Flamingo orthologues Celsr1–3 and the Prickle orthologues Prickle1, Prickle2, and Testin have dynamic patterns of expression during pregastrulation and gastrulation stages. Celsr1 is expressed in the anterior visceral endoderm and nascent mesoderm, Celsr2 and Celsr3 mark the prospective neuroectoderm, Prickle1 is expressed in the primitive streak and mesoderm, Prickle2 in the node, and Testin in the anterior visceral endoderm, the extraembryonic ectoderm, primitive streak, and mesoderm. Analysis of a gene‐trap mutation in Testin indicates that this gene is not required for embryogenesis; therefore, other Prickle homologues may compensate for its function during development. Developmental Dynamics 236:3137–3143, 2007. © 2007 Wiley‐Liss, Inc.
A facial affect mapping engine

Facial expressions play a crucial role in human interaction. Interactive digital games can help teaching people to both express and recognise them. Such interactive games can benefit from the ability to alter user expressions dynamically and in real-time. In this demonstration, we present the Facial Affect Mapping Engine (FAME), a framework for mapping and manipulating facial expressions across images and video streams. Our system is fully automatic runs in real-time and does not require any specialist hardware. FAME presents new possibilities for the designers of intelligent interactive digital games.
Friction Characteristics of Space Lubricating Oil No. 4129 in Rolling and Sliding Contact

The friction coefficients between the surfaces of a ball and a disc lubricated by a space lubricating oil No.4129 were measured at various operating conditions on a ball-disc friction test rig. Friction characteristic curves were obtained under sliding and rolling movements at point contact. A new model for calculation of the friction coefficient was pre - sented. The results show that the bigger the load is, the larger the friction coefficient becomes. The rolling speed ranging from 1 m/s to10 m/s has an important effect on the friction coefficient. The friction coefficient increases with the increase in sliding speed and the decrease in rolling speed. The linear variation region of the friction coefficient versus the sliding speed at high rolling speed is wider than that at low rolling speed. The model for calculation of the friction coefficient is accurate for engineering use.
GOEAST: a web-based software toolkit for Gene Ontology enrichment analysis

Gene Ontology (GO) analysis has become a commonly used approach for functional studies of large-scale genomic or transcriptomic data. Although there have been a lot of software with GO-related analysis functions, new tools are still needed to meet the requirements for data generated by newly developed technologies or for advanced analysis purpose. Here, we present a Gene Ontology Enrichment Analysis Software Toolkit (GOEAST), an easy-to-use web-based toolkit that identifies statistically overrepresented GO terms within given gene sets. Compared with available GO analysis tools, GOEAST has the following improved features: (i) GOEAST displays enriched GO terms in graphical format according to their relationships in the hierarchical tree of each GO category (biological process, molecular function and cellular component), therefore, provides better understanding of the correlations among enriched GO terms; (ii) GOEAST supports analysis for data from various sources (probe or probe set IDs of Affymetrix, Illumina, Agilent or customized microarrays, as well as different gene identifiers) and multiple species (about 60 prokaryote and eukaryote species); (iii) One unique feature of GOEAST is to allow cross comparison of the GO enrichment status of multiple experiments to identify functional correlations among them. GOEAST also provides rigorous statistical tests to enhance the reliability of analysis results. GOEAST is freely accessible at http://omicslab.genetics. ac.cn/GOEAST/