gebhart/patrepeval huggingface dataset:
Temporal Control of Rac in Schwann Cell–Axon Interaction Is Disrupted in<i>NF2</i>-Mutant Schwannoma Cells (2006)

Schwann cell-axon interaction is the hallmark feature of peripheral nerves, yet the intracellular signals underlying this interaction are unknown. Schwann cells extend processes and migrate on developing axons before differentiation, requiring coordinated regulation of the Schwann cell cytoskeleton. Small GTPases of the Rho family, including Rho, Rac, and cell division cycle 42, regulate the actin cytoskeleton. The neurofibromatosis type 2 (NF2) gene is commonly mutated in schwannomas, Schwann cell tumors that contain cells lacking axon interaction. NF2 is involved in suppression of Rac signaling, and cultured schwannoma cells contain elevated, GTP-bound, active Rac. Despite these previous studies, a causal relationship between Rac activation and the abnormal cellular morphology of schwannoma is unknown. We used fluorescence resonance energy transfer to follow Rac activity in normal human Schwann cells and schwannoma cells during interaction with neurons. Normal Schwann cells elongated processes along neurites under low Rac activity. Schwannoma cells showed high Rac activity at distal regions of the cells and failed to align processes with neurites. Application of a Rac-specific inhibitor, the chemical compound NSC23766, to schwannoma cells restored neuronal interaction. The data support the significance of regulated Rac signaling in mediating Schwann cell-axon interaction and suggest that controlling Rac activity as a possible therapy for schwannomas.
Machine learning pipeline for battery state of health estimation (2021)

Lithium-ion batteries are ubiquitous in modern day applications ranging from portable electronics to electric vehicles. Irrespective of the application, reliable real-time estimation of battery state of health (SOH) by on-board computers is crucial to the safe operation of the battery, ultimately safeguarding asset integrity. In this paper, we design and evaluate a machine learning pipeline for estimation of battery capacity fade - a metric of battery health - on 179 cells cycled under various conditions. The pipeline estimates battery SOH with an associated confidence interval by using two parametric and two non-parametric algorithms. Using segments of charge voltage and current curves, the pipeline engineers 30 features, performs automatic feature selection and calibrates the algorithms. When deployed on cells operated under the fast-charging protocol, the best model achieves a root mean squared percent error of 0.45\%. This work provides insights into the design of scalable data-driven models for battery SOH estimation, emphasising the value of confidence bounds around the prediction. The pipeline methodology combines experimental data with machine learning modelling and can be generalized to other critical components that require real-time estimation of SOH.
Super space clothoids (2013)

Thin elastic filaments in real world such as vine tendrils, hair ringlets or curled ribbons often depict a very smooth, curved shape that low-order rod models --- e.g., segment-based rods --- fail to reproduce accurately and compactly. In this paper, we push forward the investigation of high-order models for thin, inextensible elastic rods by building the dynamics of a G 2 -continuous piecewise 3D clothoid: a smooth space curve with piecewise affine curvature. With the aim of precisely integrating the rod kinematic problem, for which no closed-form solution exists, we introduce a dedicated integration scheme based on power series expansions. It turns out that our algorithm reaches machine precision orders of magnitude faster compared to classical numerical integrators. This property, nicely preserved under simple algebraic and differential operations, allows us to compute all spatial terms of the rod kinematics and dynamics in both an efficient and accurate way. Combined with a semi-implicit time-stepping scheme, our method leads to the efficient and robust simulation of arbitrary curly filaments that exhibit rich, visually pleasing configurations and motion. Our approach was successfully applied to generate various scenarios such as the unwinding of a curled ribbon as well as the aesthetic animation of spiral-like hair or the fascinating growth of twining plants.
Mitochondrial damage by α-synuclein causes cell death in human dopaminergic neurons (2019)

Evolving concepts on Parkinson's disease (PD) pathology suggest that α-synuclein (aSYN) promote dopaminergic neuron dysfunction and death through accumulating in the mitochondria. However, the consequence of mitochondrial aSYN localisation on mitochondrial structure and bioenergetic functions in neuronal cells are poorly understood. Therefore, we investigated deleterious effects of mitochondria-targeted aSYN in differentiated human dopaminergic neurons in comparison with wild-type (WT) aSYN overexpression and corresponding EGFP (enhanced green fluorescent protein)-expressing controls. Mitochondria-targeted aSYN enhanced mitochondrial reactive oxygen species (ROS) formation, reduced ATP levels and showed severely disrupted structure and function of the dendritic neural network, preceding neuronal death. Transmission electron microscopy illustrated distorted cristae and many fragmented mitochondria in response to WT-aSYN overexpression, and a complete loss of cristae structure and massively swollen mitochondria in neurons expressing mitochondria-targeted aSYN. Further, the analysis of mitochondrial bioenergetics in differentiated dopaminergic neurons, expressing WT or mitochondria-targeted aSYN, elicited a pronounced impairment of mitochondrial respiration. In a pharmacological compound screening, we found that the pan-caspase inhibitors QVD and zVAD-FMK, and a specific caspase-1 inhibitor significantly prevented aSYN-induced cell death. In addition, the caspase inhibitor QVD preserved mitochondrial function and neuronal network activity in the human dopaminergic neurons overexpressing aSYN. Overall, our findings indicated therapeutic effects by caspase-1 inhibition despite aSYN-mediated alterations in mitochondrial morphology and function.
0412 The Influence of Upstream Obstacle on the Performance of an Axial Flow Fan (2013)

The system requirements of the axial flow fan are various. It is often seen that the axial flow fans are used under the inadequate operating condition. In recent equipment design, the cases where the obstacles are distributed in upstream of the fan for downsizing are increasing. In the present study, an attempt is made to clarify the influence of the upstream obstacle on the performance characteristics of axial flow fan. Furthermore, the flow instabilities around the fan with the obstacle are discussed.
Quantum confined lasers (1989)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text A. YARIV and M. MITTELSTEIN, "Quantum confined lasers," in Optical Fiber Communication Conference, Vol. 5 of 1989 OSA Technical Digest Series (Optica Publishing Group, 1989), paper TUH1. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Passive sensor based dynamic object association with particle filtering (2007)

This paper develops and evaluates the threshold based algorithm proposed in [1] for dynamic data association in wireless sensor networks. The sensor node incorporates RFID reader and acoustic sensor where the signals are fused for tracking and associating multiple objects. The RFID tag is used for object identification and acoustic sensor is used for estimating object movement. For the better data association, we apply the particle filtering for the prediction of an object. The algorithm with the particle filtering has an effect on increasing the association case where even objects overlap. The simulation result is compared to that using only the original algorithm. The association performance under single node coverage and multiple node coverage is evaluated as a function of sampling time.
Electrical Stimulation for Fracture Healing: Current Evidence (2010)

This article provides an overview of the biology behind the use of electrical stimulation in fracture healing and discusses the current methods of electrical bone growth stimulation. In addition, we review the best available clinical evidence for the use of electrical stimulation in the treatment of delayed and nonunions of fractures. Our search identified 4 meta-analyses on the use of electrical stimulation on fracture healing. The most methodologically rigorous and recent meta-analysis suggests that the current evidence is insufficient to conclude a benefit of electromagnetic stimulation in improving the rate of union in patients with a fresh fracture, osteotomy, delayed union, or nonunion. The other 3 meta-analyses that we identified suggested a more significant treatment effect from electrical stimulation. Although the evidence supporting electrical stimulation does trend in favor of its use to help achieve bony union, further large, multicenter, randomized, controlled trials are required to resolve the current uncertainty surrounding the use of electrical stimulation and fracture healing.
The role of microglia in the progression of glaucomatous neurodegeneration- a review (2018)

Glaucoma is a serious leading cause of irreversible blindness worldwide. Reducing intraocular pressure (IOP) does not always stop glaucomatous neurodegeneration and the optic nerve may continue to be damaged in the normal IOP. Microglial activity has been recognized to play essential roles in pathogenesis of the central nervous system (CNS) as well as retinal ganglion cell (RGC) survival. The relationship between the neurodegeneration and the microglia cells in glaucoma is very complicated and still remains unclear. In the present review, we summarize the recent studies of mechanisms of microglia in glaucoma neurodegeneration, which might provide new ways to treat glaucoma.
Transcription factor MdCBF1 gene increases freezing stress tolerance in transgenic Arabidopsis thaliana (2014)

Transcription factors play vital roles in stress signal transduction and gene expression modulation. The sequence analysis shows that MdCBF1 from Malus domestica Borkh. cv. Fuji contained an AP2 core domain of 56 amino acids. By comparison of deduced amino acid sequences of CBF related proteins, we deduced that MdCBF1 is a CBF transcription factor gene which belongs to AP2/EREBP family, DREB-A1 subfamily. Further, we reported that transgenic Arabidopsis thaliana plants expressing the MdCBF1 gene exhibited stronger growth than wild type plants under freezing stress. The analysis of RT-PCR for stress-responsive genes implied that MdCBF1 over-expressing plants had a higher expression of COR15a, RD29A, and RD29B genes than wild type plants. Collectively, our results indicate that MdCBF1 might play an important role in the response of transgenic Arabidopsis plants to freezing stress.
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing (2020)

Despite the recent success of face image generation with GANs, conditional hair editing remains challenging due to the under-explored complexity of its geometry and appearance. In this paper, we present MichiGAN (Multi-Input-Conditioned Hair Image GAN), a novel conditional image generation method for interactive portrait hair manipulation. To provide user control over every major hair visual factor, we explicitly disentangle hair into four orthogonal attributes, including shape, structure, appearance, and background. For each of them, we design a corresponding condition module to represent, process, and convert user inputs, and modulate the image generation pipeline in ways that respect the natures of different visual attributes. All these condition modules are integrated with the backbone generator to form the final end-to-end network, which allows fully-conditioned hair generation from multiple user inputs. Upon it, we also build an interactive portrait hair editing system that enables straightforward manipulation of hair by projecting intuitive and high-level user inputs such as painted masks, guiding strokes, or reference photos to well-defined condition representations. Through extensive experiments and evaluations, we demonstrate the superiority of our method regarding both result quality and user controllability. The code is available at https://github.com/tzt101/MichiGAN.
Soft-input soft-output lattice sphere decoder for linear channels (2005)

Soft output detection for signals transmitted on linear channels is investigated. A particular emphasis is made for signal detection on multiple antenna channels. The a posteriori information at the detector output is evaluated from a shifted spherical list of point candidates. The spherical list is centered on the maximum likelihood point, which has the great advantage of stabilizing the list size. Thus, the sphere radius is selected in order to control the list size and to cope with the boundaries of the finite multiple antenna constellation. Our new soft output sphere decoder is then applied to the computation of constrained channel capacity and to the iterative detection of a coded transmission. For example, we achieved a signal-to-noise ratio at 1.25 dB from capacity limit on a 4/spl times/4 MIMO channel with 16-QAM modulation and a 4-state rate 1/2 parallel turbo code.
Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation (2019)

Sequence generative adversarial networks (SeqGAN) have been used to improve conditional sequence generation tasks, for example, chit-chat dialogue generation. To stabilize the training of SeqGAN, Monte Carlo tree search (MCTS) or reward at every generation step (REGS) is used to evaluate the goodness of a generated subsequence. MCTS is computationally intensive, but the performance of REGS is worse than MCTS. In this paper, we propose stepwise GAN (StepGAN), in which the discriminator is modified to automatically assign scores quantifying the goodness of each subsequence at every generation step. StepGAN has significantly less computational costs than MCTS. We demonstrate that StepGAN outperforms previous GAN-based methods on both synthetic experiment and chit-chat dialogue generation.
Automated reading of Propidium Iodide lymphocytotoxicity tests for HLA‐DR, MB, MT typing (1984)

The combination of the Propidium Iodide method and automatic reading and scoring with a microscope fluorimeter is an accurate, reproducible and stable procedure for HLA-DR, MB and MT typing.
Molecular Marker Assisted Development and Stability Analysis of Low Phytate, High Inorganic Phosphorus Soybean [Glycine max (L.) Merrill] (2012)

Phytate [myo-inositol 1,2,3,4,5,6-hexakisphosphate] is a mixed cation salt of phytic acid which binds to other minerals, in many field crops including soybean [Glycine max (L.) Merr.]. Livestock with monogastric digestive systems lack the ability to break bonds between phytate and these minerals, causing phytate phosphorus (P) to be excreted in the waste and contributing to possible P and other mineral deficiencies. Discovery of single sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers associated with low phytate QTL (cqPha-001 and cqPha-002) have aided in development of low phytate soybean lines. The objectives of this study were to 1) utilize SSRs and SNPs to identify the heterozygous and recessive allelic forms of low phytate loci during trait introgression into a high yielding commercial cultivar; 2) evaluate differences in genotypic values for agronomic and seed quality traits, and seed inorganic phosphorous (Pi) concentration between the recurrent parent 5601T and BC4, BC3, and BC2 derived progeny lines; and 3) evaluate those traits and environmental stability of inorganic P in the recurrent parent 5601T and the BC4 derived line TN09-239 across ten southern U.S. environments. Successful trait introgression was confirmed in the BC4 line TN09-239 via SNP assay. In comparison to the recurrent parent 5601T (222.9 ng µL-1) the BC4 derived line TN09-239 (1675.9 ng µL-1) contained significantly higher Pi (P-1 for 5601T and 3151 kg ha-1 for TN09-239) (P0.05), while TN09-239 had a slope significantly different from zero as well as from one (P
Impact of the Inter-Relay Handoff on the Relaying System Performance (2006)

It is foreseen that the next generation of cellular network would integrate the relaying or multihop scheme. In a multihop cellular architecture, the users are not only able to communicate directly to the base station (BS) but can also use some relay stations to relay their data to the BS. In such architecture, it may happen that a relayed user handover to another relay station during its communication: this process is called the inter-relay handoff. The main objective of this paper is to study how frequent the inter-relay handoff occurs and its impact on the relaying system performance. For this, different algorithms to decide when a user should inter-relay handover are proposed and tested through a dynamic system level simulator. We compare the capacity gain for the different algorithm with the conventional cellular networks using the UMTS FDD mode. The result showed that with an appropriate inter-relay handoff scheme, the uplink capacity gain of 35% is readily achievable.
Locking Covalent Organic Frameworks with Hydrogen Bonds: General and Remarkable Effects on Crystalline Structure, Physical Properties, and Photochemical Activity (2015)

A series of two-dimensional covalent organic frameworks (2D COFs) locked with intralayer hydrogen-bonding (H-bonding) interactions were synthesized. The H-bonding interaction sites were located on the edge units of the imine-linked tetragonal porphyrin COFs, and the contents of the H-bonding sites in the COFs were synthetically tuned using a three-component condensation system. The intralayer H-bonding interactions suppress the torsion of the edge units and lock the tetragonal sheets in a planar conformation. This planarization enhances the interlayer interactions and triggers extended π-cloud delocalization over the 2D sheets. Upon AA stacking, the resulting COFs with layered 2D sheets amplify these effects and strongly affect the physical properties of the material, including improving their crystallinity, enhancing their porosity, increasing their light-harvesting capability, reducing their band gap, and enhancing their photocatalytic activity toward the generation of singlet oxygen. These remarkable effects on the structure and properties of the material were observed for both freebase and metalloporphyin COFs. These results imply that exploration of supramolecular ensembles would open a new approach to the structural and functional design of COFs.
Distal deletion of chromosome Ip in ductal carcinoma of the breast. (1989)

By use of recombinant DNA probes that correspond to genetic loci residing on human chromosome 1, DNA samples from 37 ductal breast carcinomas and constitutional DNA from the same individuals were tested for loss of heterozygosity. A high frequency (41%) of reduction to homozygosity was detected with the probe p1-79, which recognizes the highly polymorphic locus D1Z2, localized on 1p36. Loss of heterozygosity at other chromosome 1 loci was much less common, not exceeding a frequency of 10%, and was never observed in the absence of the D1Z2 loss. Somatic loss of heterozygosity at D1Z2 was more frequent in patients with a strong family history of breast cancer (60%), in patients with early diagnosis (before 45 years of age) (70%), and in those with multiple tumors or tumor foci (50%) than in patients with none of the characteristics of hereditary tumors (21%). No associations were observed between loss of heterozygosity and prognostic factors. These results suggest that inactivation of a tumor suppressor gene located on the distal portion of chromosome 1p, alone or combined with other genetic changes, may represent a fundamental step in the pathogenesis of ductal carcinoma of the breast.
Secrecy Performance Analysis of Wireless Sensor Networks (2019)

The wireless sensor network (WSN) plays a fundamentally important role in the realization of Internet of Things and Industry 4.0. In this article, we study the physical layer security performance of a large-scale ad hoc and homogeneous WSN. To accurately evaluate the secrecy performance of the large-scale WSN, we take into account the randomness of the interfering nodes (both in terms of the number of nodes and their respective position) based on Poisson point process in our analysis. We derive novel expressions for the average secrecy capacity and secrecy outage probability, including the effects of fading, path loss, and the network's spatial randomness. The results demonstrate the impacts of several factors such as node intensity and transmission power in large-scale WSN on secrecy performance, which should be seriously taken into consideration while designing WSNs.
A Proposal for an HDTV/ATV Standard with Multiple Transmission Formats (1993)

In this article, an HDTV/ATV transmission standard is proposed that satisfies the needs and desires of both progressive scanning and interlaced scanning groups. The key to this proposal is separation of the production, transmission, and display formats, thus allowing multiple transmission formats. The proposed system, based on progressive scanning, will deliver better video quality to the home and will also facilitate the interface with computers and other telecommunications networks. It will also utilize existing production and display technologies based on interlaced scanning until technologies can be developed for an overall system based on progressive scanning.
Cell trafficking, mediator release, and articular metabolism in acute inflammation of innervated or denervated isolated equine joints (1998)

Cellular response to IL-1 beta was rapid and sustained; joint clearance of IL-1 beta was rapid, and endogenous production of IL-1 beta did not follow. The IL-6 and PGE2 concentrations significantly increased, and SP content was increased in association with inflammation but not denervation. A degradative response of cartilage of IL-1 beta was observed, and was enhanced by innervation. This model was useful for investigation of the articular response to acute inflammation and the influence of denervation in modulating this response.
Critical Current 0−π Transition in Designed Josephson Quantum Dot Junctions (2007)

We report on quantum dot based Josephson junctions designed specifically for measuring the supercurrent. From high-accuracy fitting of the current-voltage characteristics, we determine the full magnitude of the supercurrent (critical current). Strong gate modulation of the critical current is observed through several consecutive Coulomb blockade oscillations. The critical current crosses zero close to, but not at, resonance due to the so-called 0-pi transition in agreement with a simple theoretical model.
Analysis of the<i>Kluyveromyces lactis</i>positive regulatory gene<i>LAC9</i>reveals functional homology to, but sequence divergence from, the<i>Saccharomyces cerevisiae GALA</i>gene (1986)

The galactose metabolism positive regulatory gene from Kluyveromyces lactis, LAC9, has been isolated through its ability to activate expression of galactose metabolism enzyme genes in Saccharomyces cerevisiae. The LAC9 gene also activates expression of the S. cerevisiae alpha-galactosidase (MEL1) and K. lactis beta-galactosidase (LAC4) genes in S. cerevisiae. Although LAC9-activated gene expression in K. lactis is not glucose repressed, activation of MEL1 gene expression by LAC9 in S. cerevisiae is. The LAC9 gene is expressed at an extremely low level as a approximately 2.9-kb mRNA, and encodes a protein of 865 amino acids. Although the LAC9 gene is functionally analogous to the S. cerevisiae GAL4 gene, the bulk of its protein sequence shows little homology to that of GAL4. Two of the three regions of homology that do exist, however, are restricted to areas of GAL4 protein already implicated in nuclear localization, DNA binding, and transcriptional activation.