gebhart/patrepeval huggingface dataset:
Monocytes control gamma/delta T-cell responses by a secreted product. (1995)

Gamma-irradiated ex vivo bovine monocytes induce proliferation of gamma/delta T cells in the autologous mixed lymphocyte reaction (AMLR), whereas when not irradiated they prevent this response. In contrast, non-irradiated autologous monocytes have no effect on bovine alpha/beta T-cell proliferation in the allogenic MLR suggesting that the regulation is specific for gamma/delta T-cell responses. Here, we showed that the inhibition was not mediated by inducing cell death and that the ability of ex vivo monocytes to prevent proliferation of gamma/delta T cells was not generalized in that gamma/delta T cells still responded to mitogenic stimulation. Inhibition of the AMLR by non-irradiated monocytes could not be overcome by addition of interleukin-2 to the cultures or by costimulation with antibodies to WC1, a gamma/delta T-cell-specific cell-surface differentiation antigen shown elsewhere by us to be involved in activation of gamma/delta T cells. Furthermore, we showed that monocytes inhibited gamma/delta T-cell responses via a soluble product since inhibition occurred even when monocytes and gamma/delta T cells were separated by membranes of transwells or when supernatants from monocyte cultures were added to AMLR cultures. Maximal secretion of the inhibitory product by the monocytes occurred during the first 6 hr of in vitro culture at 37 degrees, rapidly decreased thereafter, and did not occur when monocytes were incubated at 4 degrees. The inhibition was not attributable to nitric oxide, reactive oxygen intermediates, prostaglandin E2 or transforming growth factor-beta (TGF-beta) but the ability of monocyte supernatants to mediate inhibition was sensitive to heating at 65 degrees. Lipopolysaccharide and granulocyte-macrophage colony-stimulating factor activation of monocytes temporarily abrogated their ability to inhibit proliferation. In contrast, heat-shocking had no effect on their ability to inhibit. We hypothesize that non-irradiated monocytes produce the inhibitory material in vivo in order to regulate gamma/delta T-cell responses to self-derived monocyte membrane components, but that when monocytes are altered by infection, transformation, irradiation, or cytokine activation, production of the inhibitor is temporarily suspended allowing stimulation of gamma/delta T cells to occur.
Identification of DNA mismatch repair gene mutations in hereditary nonpolyposis colon cancer patients (1996)

Hereditary nonpolyposis colorectal cancer (HNPCC) is a common autosomal dominant disease caused by germline mutations in DNA mismatch repair genes. The mutational spectrum in these genes appears to be diverse, in both the distribution and the nature of the mutations. However, most described mutations generate a premature stop codon and ultimately result in the synthesis of a truncated protein. We have employed an in vitro transcription/translation assay to identify germline mutations in DNA mismatch repair genes from patients suspected of belonging to HNPCC kindreds. Our results suggest that this approach will be highly effective in identifying mutations in these patients and may lead to a reliable diagnostic test for the pre-symptomatic identification of HNPCC.
The aspartimide problem in Fmoc‐based SPPS. Part II (2003)

The sequence dependence of base-catalysed aspartmide formation during Fmoc-based SPPS was systematically studied employing the peptide models H-Val-Lys-Asp-Xaa-Tyr-Ile-OH. The extent of formation of aspartimide and related by-products was determined by RP-HPLC. Considerable amounts of by-products were formed in the case of Xaa = Asp(OtBu), Arg(Pbf), Asn(Mtt), Cys(Acm) and unprotected Thr. Aspartimide formation could be diminished by incorporation of Asp(OMpe) or by employing milder methods for Fmoc cleavage, e.g. hexamethyleneimine/N-methylpyrrolidine/HOBt/NMP/DMSO 4:50:4:71:71 (v/v/w/v/v).
Design of a Battery Management System based on matrix switching network (2015)

Battery Management Systems are the key modules for Lithium-Polymer (LiPo) batteries. They control the charging /discharging parameters, measure the voltages and state of charge (SOC) of the battery cells, equalize the charge/discharge characterizes of individual battery cells and notify the main controller of the status of the battery pack. They are also the critical safeguards against potential damages to the batteries. Due to the fact that LiPo batteries have great energy density, low discharge rate, high cell voltage and lack of memory effect, they are widely used in applications such as electric vehicles and electric bicycles. However, because one battery pack needs a lot of battery cells connected in series, the battery pack is prone to fail than a single cell battery. Moreover, the battery cells are always different in the SOC and internal impedance. This means if the weak cell hits the protection limit while the other cells in the series are still sufficient to power the system, the battery pack cannot be used either. This will limit the capacity and efficiency of the battery pack. To improve the reliability and capacity of Li-Po battery pack, this paper propose a novel battery management system, on which, individual battery cell can be dynamically connected to or disconnect from any position of the battery series via the matrix switching network. By appropriately controlling the matrixswitching network, the battery cells can be configured to different configurations to suit different application scenarios e.g. active cell balancing, multi-voltage output, and weak/fail cell replacement.
Cytokines and uveitis, a review (1992)

Although the exact pathogenic mechanisms underlying uveitis are unknown, cytokines appear to be involved in this inflammatory disorder. This review describes the studies in which the uveitogenic properties of several cytokines, including tumor necrosis factor (TNF), interleukin 1 (IL-1), IL-6, IL-8 and interferon gamma (IFN-gamma), were investigated and the reports on intraocular expression of cytokines, such as TNF, IL-2, IL-6 and IFN-gamma, during uveitis. The exact contribution of these mediators to uveitis remains to be determined. This may provide new clues in the treatment of uveitis.
Analytical model for permanent magnet motors with surface mounted magnets (2003)

This paper presents an analytical method of modeling permanent magnet (PM) motors. The model is dependent only on geometrical and materials data which makes it suitable for insertion into design programs, avoiding long finite element analysis (FEA) calculations. The modeling procedure is based on the calculation of the air gap field density waveform at every time instant. The waveform is the solution of the Laplacian/quasi-Poissonian field equations in polar coordinates in the air gap and takes into account slotting. The model allows the rated performance calculation but also such effects as cogging torque, ripple torque, back-EMF form prediction, some of which are neglected in commonly used analytical models.
Extracellular Vesicle Heterogeneity: Subpopulations, Isolation Techniques, and Diverse Functions in Cancer Progression (2018)

Cells release membrane enclosed nano-sized vesicles termed extracellular vesicles (EVs) that function as mediators of intercellular communication by transferring biological information between cells. Tumor-derived EVs have emerged as important mediators in cancer development and progression, mainly through transfer of their bioactive content which can include oncoproteins, oncogenes, chemokine receptors, as well as soluble factors, transcripts of proteins and miRNAs involved in angiogenesis or inflammation. This transfer has been shown to influence the metastatic behavior of primary tumors. Moreover, tumor-derived EVs have been shown to influence distant cellular niches, establishing favorable microenvironments that support growth of disseminated cancer cells upon their arrival at these pre-metastatic niches. It is generally accepted that cells release a number of major EV populations with distinct biophysical properties and biological functions. Exosomes, microvesicles, and apoptotic bodies are EV populations most widely studied and characterized. They are discriminated based primarily on their intracellular origin. However, increasing evidence suggests that even within these EV populations various subpopulations may exist. This heterogeneity introduces an extra level of complexity in the study of EV biology and function. For example, EV subpopulations could have unique roles in the intricate biological processes underlying cancer biology. Here, we discuss current knowledge regarding the role of subpopulations of EVs in cancer development and progression and highlight the relevance of EV heterogeneity. The position of tetraspanins and integrins therein will be highlighted. Since addressing EV heterogeneity has become essential for the EV field, current and novel techniques for isolating EV subpopulations will also be discussed. Further dissection of EV heterogeneity will advance our understanding of the critical roles of EVs in health and disease.
Photoreceptor Outer Segment-like Structures in Long-Term 3D Retinas from Human Pluripotent Stem Cells (2017)

The retinal degenerative diseases, which together constitute a leading cause of hereditary blindness worldwide, are largely untreatable. Development of reliable methods to culture complex retinal tissues from human pluripotent stem cells (hPSCs) could offer a means to study human retinal development, provide a platform to investigate the mechanisms of retinal degeneration and screen for neuroprotective compounds, and provide the basis for cell-based therapeutic strategies. In this study, we describe an in vitro method by which hPSCs can be differentiated into 3D retinas with at least some important features reminiscent of a mature retina, including exuberant outgrowth of outer segment-like structures and synaptic ribbons, photoreceptor neurotransmitter expression, and membrane conductances and synaptic vesicle release properties consistent with possible photoreceptor synaptic function. The advanced outer segment-like structures reported here support the notion that 3D retina cups could serve as a model for studying mature photoreceptor development and allow for more robust modeling of retinal degenerative disease in vitro.
Tetrandrine-Induced Autophagy in MDA-MB-231 Triple-Negative Breast Cancer Cell through the Inhibition of PI3K/AKT/mTOR Signaling (2019)

The present study examined the effects of tetrandrine suppressing proliferation, targeting LC3, p62, and Beclin-1 autophagy genes by inhibiting PI3K/AKT/mTOR signaling in Triple-negative breast cancer (TNBC) MDA-MB-231 cell. Cell viability and apoptosis were evaluated by MTT and Annexin-V/PI double staining. Cytotoxicity was determined with LDH assay. Western Blot and Immunofluorescence were used to measure the protein levels of p62/SQSTM1, Beclin1, LC3-II/LC3-I, and PTEN/PI3K/AKT/mTOR signaling. Results showed that tetrandrine inhibited the MDA-MB-231 cell proliferation and induced the apoptosis. Tetrandrine at doses of 12.8, 16.1, and 25.7<i>μ</i>mol/L showed significant cytotoxicity on MDA-MB-231 cells (p<0.01). Tetrandrine induced MDA-MB-231 cell autophagy by decreasing p62/SQSTM1 expression, improving the expression of Beclin1 and LC3-II/LC3-I (p<0.01), inhibiting the PI3K/AKT /mTOR pathway by downregulating the expression of p-AKT <sup>ser473</sup>/AKT, p-PI3K/PI3K p110<i>α</i>, and p-mTOR <sup>ser2448</sup>/mTOR and upregulating PTEN expression. These findings revealed that tetrandrine could suppress proliferation and induce autophagy in MDA-MB-231 cell by inhibiting the PI3K/AKT/mTOR pathway and might be a promising anti-triple-negative breast cancer drug.
The Vibration Detection System of CNC Machine Tools and the Application of Spindle Test (2011)

This paper introduces the composition of CNC machine tools and the classification of vibration. Based on the method of vibration diagnosis and the sensors, data acquisition instrument and signal analysis software produced by China Orient Institute, self-designed a high precise and portable vibration detection system. By this system, we can detect the engraving spindle of the shaped stone CNC machining center which own school developed, and analyze the possible causes of vibration. Figures out that the detection system is an effective testing equipment for quickly identifying the vibration source of machine tools. It plays an important role in providing the basis for structural dynamic design, guaranteeing the machining accuracy and improving the machine’s service life.
Hash in a Flash: Hash Tables for Solid State Devices (2012)

In recent years, information retrieval algorithms have taken center stage for extracting important data in ever larger datasets. Advances in hardware technology have lead to the increasingly wide spread use of flash storage devices. Such devices have clear benefits over traditional hard drives in terms of latency of access, bandwidth and random access capabilities particularly when reading data. There are however some interesting trade-offs to consider when leveraging the advanced features of such devices. On a relative scale writing to such devices can be expensive. This is because typical flash devices (NAND technology) are updated in blocks. A minor update to a given block requires the entire block to be erased, followed by a re-writing of the block. On the other hand, sequential writes can be two orders of magnitude faster than random writes. In addition, random writes are degrading to the life of the flash drive, since each block can support only a limited number of erasures. TF-IDF can be implemented using a counting hash table. In general, hash tables are a particularly challenging case for the flash drive because this data structure is inherently dependent upon the randomness of the hash function, as opposed to the spatial locality of the data. This makes it difficult to avoid the random writes incurred during the construction of the counting hash table for TF-IDF. In this paper, we will study the design landscape for the development of a hash table for flash storage devices. We demonstrate how to effectively design a hash table with two related hash functions, one of which exhibits a data placement property with respect to the other. Specifically, we focus on three designs based on this general philosophy and evaluate the trade-offs among them along the axes of query performance, insert and update times and I/O time through an implementation of the TF-IDF algorithm.
Normal mapping for precomputed radiance transfer (2006)

Normal mapping is a variant of bump mapping that is commonly used in computer games. It models complex surface variations by explicitly storing a surface normal in a texture map. However, it has not been used with precomputed radiance transfer (PRT), a technique for modeling an object's response to a parameterized model of lighting, which enables interactive rendering of complex global illumination effects such as soft shadows and interreflections. This paper presents several techniques that effectively combine normal mapping and precomputed radiance transfer for rigid objects. In particular, it investigates representing the convolved radiance function in various bases and borrowing concepts from the separable decomposition of BRDF's.
Assessment, diagnosis and treatment of infection (2011)

Infected wounds are associated with symptoms such as increased pain, exudate volume and malodour, all of which can negatively impact on the patient and may result in social isolation and depression. Thus, it is crucial that healthcare professionals promptly diagnose infection in order to initiate rapid intervention and reduce bioburden to return the wound to a healing trajectory. Recent developments in antiseptic/ antimicrobial therapies have led to advanced wound care dressings that are both clinically and cost- effective when used appropriately.
Oxidation of aldehyde in alcoholic media with the Caro acid (1968)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTOxidation of aldehyde in alcoholic media with the Caro acidA. Nishihara and I. KubotaCite this: J. Org. Chem. 1968, 33, 6, 2525–2526Publication Date (Print):June 1, 1968Publication History Published online1 May 2002Published inissue 1 June 1968https://pubs.acs.org/doi/10.1021/jo01270a082https://doi.org/10.1021/jo01270a082research-articleACS PublicationsRequest reuse permissionsArticle Views445Altmetric-Citations39LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Adaptable sensor fusion using multiple Kalman filters (2002)

This paper presents an integrated sensor fusion strategy for the positioning of an underwater ROV. The use of multiple Kalman filters makes the system highly adaptable by allowing different combinations of sensors without any modification of the models. This algorithm can handle any number of redundant sensors by using multi-filter fusion and can work asynchronously with different sensor data rates through a filter switching process.
Personalization of hybrid brain models from neuroimaging and electrophysiology data (2018)

Abstract Personalization is rapidly becoming standard practice in medical diagnosis and treatment. This study is part of an ambitious program towards computational personalization of neuromodulatory interventions in neuropsychiatry. We propose to model the individual human brain as a network of neural masses embedded in a realistic physical matrix capable of representing measurable electrical brain activity. We call this a hybrid brain model (HBM) to highlight that it encodes both biophysical and physiological characteristics of an individual brain. Although the framework is general, we provide here a pipeline for the integration of anatomical, structural and functional connectivity data obtained from magnetic resonance imaging (MRI), diffuse tensor imaging (DTI connectome ) and electroencephalography (EEG). We personalize model parameters through a comparison of simulated cortical functional connectivity with functional connectivity profiles derived from cortically-mapped, subject-specific EEG. We show that individual information can be represented in model space through the proper adjustment of two parameters (global coupling strength and conduction velocity), and that the underlying structural information has a strong impact on the functional outcome of the model. These findings provide a proof of concept and open the door for further advances, including the model-driven design of non-invasive brain-stimulation protocols.
Learning-based control strategy for safe human-robot interaction exploiting task and robot redundancies (2010)

We propose a control strategy for a robotic manipulator operating in an unstructured environment while interacting with a human operator. The proposed system takes into account the important characteristics of the task and the redundancy of the robot to determine a controller that is safe for the user. The constraints of the task are first extracted using several examples of the skill demonstrated to the robot through kinesthetic teaching. An active control strategy based on task-space control with variable stiffness is proposed, and combined with a safety strategy for tasks requiring humans to move in the vicinity of robots. A risk indicator for human-robot collision is defined, which modulates a repulsive force distorting the spatial and temporal characteristics of the movement according to the task constraints. We illustrate the approach with two human-robot interaction experiments, where the user teaches the robot first how to move a tray, and then shows it how to iron a napkin.
Responses of Chicks To Brightly Coloured Insect Prey (1989)

In experiments 1 to 3, domestic chicks that had not previously been fed were given a choice between olive-green painted mealworms and mealworms that were painted with single colours (black, yellow or red), stripes of alternating colours (black-and-yellow, black-and-red or yellow-and-red) or half one colour and half another (black-and-yellow, black-and-red or yellow-and-red). Relative to olive-green mealworms, chicks showed a strong aversion to black prey, a milder aversion to black-and-yellow striped prey, and a marginal aversion to red prey. All other colours and patterns were either neutral or preferred. We conclude that neither striped prey nor unstriped bicoloured prey are necessarily more aversive than prey of a single colour, and that the results are best explained in terms of specific aversions to certain colours and patterns, rather than to some general feature of the prey such as novelty or contrast. Experiment 1 also showed that rearing chicks in black-and-yellow cages reduced or reversed their aversion to black-and-yellow striped and black prey, and increased their preference for yellow and bicoloured prey. We conclude that while preferences and aversions towards prey of these colours are unlearned their development can be affected by experience. Experiment 4 showed, using a one-trial learning procedure, that prey colour (black-and-yellow striped, black, yellow or bicoloured) did not significantly affect the strength of avoidance learning when the prey was distasteful. We conclude that unlearned preferences and aversions for particular prey do not interact with the effectiveness of avoidance learning.
Next-generation antibody discovery platforms (2012)

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans the biological, physical, and social sciences.
Combined R‐α–lipoic acid and acetyl‐L‐carnitine exerts efficient preventative effects in a cellular model of Parkinson’s disease (2008)

Mitochondrial dysfunction and oxidative damage are highly involved in the pathogenesis of Parkinson's disease (PD). Some mitochondrial antioxidants/nutrients that can improve mitochondrial function and/or attenuate oxidative damage have been implicated in PD therapy. However, few studies have evaluated the preventative effects of a combination of mitochondrial antioxidants/nutrients against PD, and even fewer have sought to optimize the doses of the combined agents. The present study examined the preventative effects of two mitochondrial antioxidant/nutrients, R-alpha-lipoic acid (LA) and acetyl-L-carnitine (ALC), in a chronic rotenone-induced cellular model of PD. We demonstrated that 4-week pretreatment with LA and/or ALC effectively protected SK-N-MC human neuroblastoma cells against rotenone-induced mitochondrial dysfunction, oxidative damage and accumulation of alpha-synuclein and ubiquitin. Most notably, we found that when combined, LA and ALC worked at 100-1000-fold lower concentrations than they did individually. We also found that pretreatment with combined LA and ALC increased mitochondrial biogenesis and decreased production of reactive oxygen species through the up-regulation of the peroxisome proliferator-activated receptor-gamma coactivator 1alpha as a possible underlying mechanism. This study provides important evidence that combining mitochondrial antioxidant/nutrients at optimal doses might be an effective and safe prevention strategy for PD.