gebhart/patrepeval huggingface dataset:
Maintaining efficient collaboration with trust-seeking robots (2016)

In this work, we grant robot agents the capacity to sense and react to their human supervisor's changing trust state, as a means to maintain the efficiency of their collaboration. We propose the novel formulation of Trust-Aware Conservative Control (TACtiC), in which the agent alters its behaviors momentarily whenever the human loses trust. This trust-seeking robot framework builds upon an online trust inference engine and also incorporates an interactive behavior adaptation technique. We present end-to-end instantiations of trust-seeking robots for distinct task domains of aerial terrain coverage and interactive autonomous driving. Empirical assessments comprise a large-scale controlled interaction study and its extension into field evaluations with an autonomous car. These assessments substantiate the efficiency gains that trust-seeking agents bring to asymmetric human-robot teams.
A Distributed Subgradient Method for Dynamic Convex Optimization Problems Under Noisy Information Exchange (2013)

We consider a convex optimization problem for non-hierarchical agent networks where each agent has access to a local or private time-varying function, and the network-wide objective is to find a time-invariant minimizer of the sum of these functions, provided that such a minimizer exists. Problems of this type are common in dynamic systems where the objective function is time-varying because of, for instance, the dependency on measurements that arrive continuously to each agent. A typical outer-loop optimization iteration for optimization problems of this type consists of a local optimization step based on the information provided by neighboring agents, followed by a consensus step to exchange and fuse local estimates of the agents. A great deal of research effort has been directed towards developing and better understanding such algorithms, which find many applications in distinct areas such as cognitive radio networks, distributed acoustic source localization, coordination of unmanned vehicles, and environmental modeling. Contrasting with existing work, which considers either dynamic systems or noisy links (but not both jointly), in this study we devise and analyze a novel distributed online algorithm for dynamic optimization problems in noisy communication environments. The main result of the study proves sufficient conditions for almost sure convergence of the algorithm as the number of iterations tends to infinity. The algorithm is applicable to a wide range of distributed optimization problems with time-varying cost functions and consensus updates corrupted by additive noise. Our results therefore extend previous work to include recently proposed schemes that merge the processes of computation and data transmission over noisy wireless networks for fast and efficient consensus protocols. To give a concrete example of an application, we show how to apply our general technique to the problem of distributed detection with adaptive filters.
Tailoring the Immune Microenvironment of Dendritic Cells by Targeting C - type Lectin Receptor (2017)

Background: The C-type lectin receptor (CLR) expressed by DCs participates in the recognition and capture of various glycosylated self-antigens and pathogens. Understanding the diversity of the CLR expressed by DCs, as well as their role in maintaining the balance between Th1-type and Th2-type cytokines would promote the understanding of the pathogenesis of many diseases including preeclampsia (PE). Methods: DCs were isolated from the placentae of healthy women who underwent normal pregnancies and infected with a CLR lentiviral (LV) vector for gene overexpression or small interfering RNA (siRNA) knockdown. DCs were cocultured with T-cells and EVCTs, and five groups were established as follows: Group 1 – DCs from healthy women who underwent normal pregnancies, Group 2 – DCs from women with preeclampsia (PE), Group 3 – DCs infected with empty LV vectors, Group 4 – DCs infected with a CLR LV vector for gene overexpression, and Group 5 – DCs infected with a CLR LV vector for siRNA knockdown. The levels of Th1- and Th2-type cytokines were measured in all groups. Results: The levels of Th1-type cytokines were significantly higher in women with PE than in those with normal pregnancies (P < 0.05). Among these five groups, the Th1/Th2 ratio of Group 5 was highest (P < 0.05). There was no difference in the Th1/Th2 ratio between Groups 1 and 3. Conclusions: There was a Th1/Th2 imbalance in women with PE displaying Th1-type immunity. CLR-overexpressing DCs showed a diminished capacity to polarize naïve T-cells into Th1 effector cells. The impaired Th1 response in DCs was rescued by CLR siRNA knockdown. In conclusion, DCs may affect the production of cytokines and the migration of T-cells through CLR-mediated signaling pathways during pregnancy.
Table S1 from Selective Inhibition of the Second Bromodomain of BET Family Proteins Results in Robust Antitumor Activity in Preclinical Models of Acute Myeloid Leukemia (2023)

&lt;p&gt;Primary patient sample information&lt;/p&gt;
Chromosomal aberrations in angioimmunoblastic T‐cell lymphoma and peripheral T‐cell lymphoma unspecified: A matrix‐based CGH approach (2006)

Angioimmunoblastic T-cell lymphoma (AILT) is a histopathologically well-defined entity. However, despite a number of cytogenetic studies, the genetic basis of this lymphoma entity is not clear. Moreover, there is an overlap to some cases of peripheral T-cell lymphoma unspecified (PTCL-u) in respect to morphological and genetic features. We used array-based comparative genomic hybridization (CGH) to study genetic imbalances in 39 AILT and 20 PTCL-u. Array-based CGH revealed complex genetic imbalances in both AILT and PTCL-u. Chromosomal imbalances were more frequent in PTCL-u than in AILT and gains exceeded the losses. The most recurrent changes in AILT were gains of 22q, 19, and 11p11-q14 (11q13) and losses of 13q. The most frequent changes in PTCL-u were gains of 17 (17q11-q25), 8 (involving the MYC locus at 8q24), and 22q and losses of 13q and 9 (9p21-q33). Interestingly, gains of 4q (4q28-q31 and 4q34-qtel), 8q24, and 17 were significantly more frequent in PTCL-u than in AILT. The regions 6q (6q16-q22) and 11p11 were predominantly lost in PTCL-u. Moreover, we could identify a recurrent gain of 11q13 in both AILT and PTCL-u, which has previously not been described in AILT. Trisomies 3 and 5, which have been described as typical aberrations in AILT, were identified only in a small number of cases. In conclusion, CGH revealed common genetic events in peripheral T-cell lymphomas as well as peculiar differences between AILT and PTCL-u.
Generative Models for Extrapolation Prediction in Materials Informatics (2021)

We report a deep generative model for regression tasks in materials informatics. The model is introduced as a component of a data imputer and predicts more than 20 diverse experimental properties of organic molecules. The imputer is designed to predict material properties by "imagining" the missing data in the database, enabling the use of incomplete material data. Even removing 60% of the data does not diminish the prediction accuracy in a model task. Moreover, the model excels at extrapolation prediction, where target values of the test data are out of the range of the training data. Such an extrapolation has been regarded as an essential technique for exploring novel materials but has hardly been studied to date due to its difficulty. We demonstrate that the prediction performance can be improved by >30% by using the imputer compared with traditional linear regression and boosting models. The benefit becomes especially pronounced with few records for an experimental property (<100 cases) when prediction would be difficult by conventional methods. The presented approach can be used to more efficiently explore functional materials and break through previous performance limits.
Initial acidic pH is critical for mycelial cultures and functional exopolysaccharide production of an edible mushroom, Laetiporus sulphureus var. miniatus JM 27 (2010)

We conducted a time course experiment on mycelial cultures of Laetiporus sulphureus var. miniatus. The strain showed significant survival in an initial pH range of 2.0 to 7.0 for 24 days, during which time oxalic acid was accumulated. A structural analysis of purified exopolysaccharide suggested that it contained 96.1% glucose, and the mode of linkage was mainly → 4-Glcp-(1 → units, with branches at the C-6 position consisting of a Glcp-(1 → 4) linked side chain. An exopolysaccharide purified from the acidophilic strain was added to cultured U937 cells, resulting in significantly increased transcription levels of p53 and p21 genes.
The Design of Layer Time Optimization in Large-Scale Additive Manufacturing with Fiber Reinforced Polymer Composites (2022)

In this study, we have developed a method to optimize a layer deposition time (a.k.a. layer time) for large-scale additive manufacturing (AM) via physics-based simulations. A long layer time leads to an over-cooled surface on which a new layer is deposited, and therefore, it may result in a weak bonding or debonding between layers, cracking, or warping. A short layer time leads to a high temperature of the structure due to insufficient cooling, and therefore, the structure may not be stiff enough and may collapse during manufacturing. Therefore, it is important to estimate the optimal layer time in additive manufacturing for a high-quality product. The temperature of a top layer right before deposition is recommended to be slightly higher than the glass temperature of the material. A temperature cooling was approximated to an exponential function of time, and the optimized layer time was obtained based on a target temperature while maintaining a minimal printing time. The material used is carbon fiber-reinforced polycarbonate (CF/PC), and the large-scale deposition system used is LSAM TM from Thermwood Corporation. Three different layer time cases were used for experiments, and a series of thermal images were obtained via an infra-red (IR) camera during the entire AM processes. AM process simulations were performed using a finite element method and the temperature profiles from the simulation were in good agreement with those from experiments. The layer time optimization was performed based on the temperature profiles from the simulations. A layer temperature with the optimal layer time was confirmed as the target temperature through simulation.
Systemic (2016)

This Glossary of Terms Related to Pharmaceutics is needed by practitioners in the field of pharmaceutics as this field fulfills an important and crucial role, different from the roles of other scientific disciplines involved in the drugmaking process. The glossary contains 168 definitions used in pharmaceutics. These are related to various aspects of this discipline, such as: (1) physicochemical characterization of pharmaceutical preparations and the active ingredients they contain; (2) unit operations used in the practice of pharmaceutics; (3) terms related to the various dosage forms; (4) terms related to the various modes and routes of drug delivery; (5) terms used in pharmacokinetics and biopharmaceutics in general; and additional miscellaneous terms. The field of pharmaceutics itself is of a multidisciplinary nature as its practitioners come from a variety of disciplines, such as chemistry or various biological sciences, thus a glossary containing authoritative definitions would be useful for them. The terms used in pharmaceutics are rarely covered by existing glossaries, and in the cases they are, their definitions are often inappropriate for the field of pharmaceutics and require new or modified definitions to better fit the new context.
Abstract 1746: Modulation of ABCG2 mediated multidrug resistance by xanthine derivatives (2011)

Abstract ABCG2 is an ATP-binding-cassette (ABC) transporter that confers multidrug resistance (MDR) in tumor cells by extruding a broad variety of chemotherapeutic agents, ultimately leading to failure of cancer therapy. Accordingly, the downregulation of ABCG2 expression and/or function has been proposed as part of a regimen to improve cancer therapeutic efficacy. Adenosine receptors (ARs), belong to the G-protein coupled receptor superfamily, and play important roles in stimulating neuronal cells, regulating cell proliferation and controlling immune responses. Adenosine receptor antagonists, a large collection of small molecules mainly composed of methylxanthines and other xanthine derivatives, have been used or implicated in many therapeutic applications, such as treatment of asthma, chronic bronchitis, emphysema and neural degenerative diseases. Previously, we have shown that the non-selective AR antagonist 1,3,7-methyxanthine (caffeine) can dramatically downregulate ABCG2 expression levels in cancer cell lines, increasing the intracellular retention of the ABCG2 specific substrate Mitoxantrone (MX) and markedly sensitizing cells to this chemotherapeutic agent. In order to find more potent and specific modulators of ABCG2 expression, we recently tested other ARs antagonists. Among the compounds we have examined, the non-selective antagonists theophylline, theobromine, paraxanthine, and the A2R selective antagonists 8-(3-chlorostyryl), caffeine (CSC) and 3,7-dimethyl-1-propargylxanthine (DMPX), were capable of downregulating ABCG2 protein levels to varying degrees. An A1R selective antagonist, 8-Cyclopentyl-1,3-dipropylxanthine (DPCPX), currently in clinical trials, also decreased the expression of ABCG2 significantly at physiologically- relevant concentrations. In addition, the natural ligand of the ARs, adenosine, completely blocked the downregulation of ABCG2 by caffeine, suggesting that adenosine receptors and their downstream signaling pathways are involved in the regulation of ABCG2 gene expression. These findings suggest that xanthine adenosine receptor antagonists could be developed as combination therapy to improve the efficacy of drugs that are ABCG2 substrates. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1746. doi:10.1158/1538-7445.AM2011-1746
N-Vinylformamide – Building Block for Novel Polymer Structures (1997)

Abstract N-Vinylformamide (NVF, N-ethenylformamide) is a precursor to amide and amine functional polymers and to other monomers, oligomers, and functional polymers. NVF shows attractive physical and toxicological properties and high reactivity, both in polymerization and in subsequent hydrolysis to cationic and reactive amine functional polymers or oligomers. NVF radical polymerization readily yields water soluble homopolymers with molecular weights from 104 to >106. Copolymerizability is similar to other vinyl amides. Unexpectedly, NVF will also undergo cationic oligomerization. Hydrolysis of polymers and copolymers with base or acid is facile, although reactions with neighboring groups (e.g., with coacrylate ester groups to give lactams) complicate copolymer hydrolysis. Reaction of NVF at the unusually acidic NH group allows reaction with isocyanates to give vinylacylureas or Michael addition to acrylates to give a family of new N-vinylformamidopropionate esters. These esters in turn react with functional amines to generate new families of divinyl, vinyl/alcohol functional, or vinyl/amino functional comonomers. Applications for NVF and its derived monomers and polymers appear numerous, in particular in radiation cure coatings, based on their good physical and toxicological properties.
Transcriptional and functional analyses of neoantigen-specific CD4 T cells during a profound response to anti-PD-L1 in metastatic Merkel cell carcinoma (2022)

We identified and characterized tumor-specific Th1-skewed CD4 T cells targeting multiple neoantigens in a patient who experienced a profound and durable partial response to anti-PD-L1 therapy. To our knowledge, this is the first report of neoantigen-specific T cell responses in MCC. Although CD4 and CD8 T cells recognizing viral tumor antigens are often detectible in virus-positive MCC, only CD4 T cells recognizing neoantigens were detected in this patient. These findings suggest that CD4 T cells can play an important role in the response to anti-PD-(L)1 therapy.
ChemInform Abstract: Optical Spectroscopy of Copper(I)‐Doped Na+‐β′′‐Alumina. (1989)

Abstract The luminescence spectra of Cu+‐doped Na+‐β''‐alumina exhibit emission bands due to both Cu + monomers and Cu+‐Cu+ dimers.
Genome mining and functional genomics for siderophore production in Aspergillus niger (2014)

Iron is an essential metal for many organisms, but the biologically relevant form of iron is scarce because of rapid oxidation resulting in low solubility. Simultaneously, excessive accumulation of iron is toxic. Consequently, iron uptake is a highly controlled process. In most fungal species, siderophores play a central role in iron handling. Siderophores are small iron-specific chelators that can be secreted to scavenge environmental iron or bind intracellular iron with high affinity. A second high-affinity iron uptake mechanism is reductive iron assimilation (RIA). As shown in Aspergillus fumigatus and Aspergillus nidulans, synthesis of siderophores in Aspergilli is predominantly under control of the transcription factors SreA and HapX, which are connected by a negative transcriptional feedback loop. Abolishing this fine-tuned regulation corroborates iron homeostasis, including heme biosynthesis, which could be biotechnologically of interest, e.g. the heterologous production of heme-dependent peroxidases. Aspergillus niger genome inspection identified orthologues of several genes relevant for RIA and siderophore metabolism, as well as sreA and hapX. Interestingly, genes related to synthesis of the common fungal extracellular siderophore triacetylfusarinine C were absent. Reverse-phase high-performance liquid chromatography (HPLC) confirmed the absence of triacetylfusarinine C, and demonstrated that the major secreted siderophores of A. niger are coprogen B and ferrichrome, which is also the dominant intracellular siderophore. In A. niger wild type grown under iron-replete conditions, the expression of genes involved in coprogen biosynthesis and RIA was low in the exponential growth phase but significantly induced during ascospore germination. Deletion of sreA in A. niger resulted in elevated iron uptake and increased cellular ferrichrome accumulation. Increased sensitivity toward phleomycin and high iron concentration reflected the toxic effects of excessive iron uptake. Moreover, SreA-deficiency resulted in increased accumulation of heme intermediates, but no significant increase in heme content. Together with the upregulation of several heme biosynthesis genes, these results reveal a complex heme regulatory mechanism.
Bivariate Polynomials Modulo Composites and their Applications. (2014)

We investigate the hardness of finding solutions to bivariate polynomial congruences modulo RSA composites. We establish necessary conditions for a bivariate polynomial to be one-way, second preimage re-sistant, and collision resistant based on arithmetic properties of the poly-nomial. From these conditions we deduce a new computational assump-tion that implies an efficient algebraic collision-resistant hash function. We explore the assumption and relate it to known computational prob-lems. The assumption leads to (i) a new statistically hiding commitment scheme that composes well with Pedersen commitments, (ii) a conceptu-ally simple cryptographic accumulator, and (iii) an efficient chameleon hash function.
Neuroprotection in Ischemia–Reperfusion Injury: An Antiinflammatory Approach Using a Novel Broad-Spectrum Chemokine Inhibitor (2001)

Cerebral ischemia-reperfusion injury is associated with a developing inflammatory response with pathologic contributions from vascular leukocytes and endogenous microglia. Signaling chemokines orchestrate the communication between the different inflammatory cell types and the damaged tissue leading to cellular chemotaxis and lesion occupation. Several therapies aimed at preventing this inflammatory response have demonstrated neuroprotective efficacy in experimental models of stroke, but to date, few investigators have used the chemokines as potential therapeutic targets. In the current study, the authors investigate the neuroprotective action of NR58-3.14.3, a novel broad-spectrum inhibitor of chemokine function (both CXC and CC types), in a rat model of cerebral ischemia-reperfusion injury. Rats were subjected to 90 minutes of focal ischemia by the filament method followed by 72 hours of reperfusion. Both the lesion volume, measured by serial magnetic resonance imaging, and the neurologic function were assessed daily. Intravenous NR58-3.14.3 was administered, 2 mg/kg bolus followed by 0.5 mg/kg hour constant infusion for the entire 72-hour period. At 72 hours, the cerebral leukocytic infiltrate, tumor necrosis factor-alpha (TNF-alpha), and interleukin-8 (IL-8)-like cytokines were analyzed by quantitative immunofluorescence. NR58-3.14.3 significantly reduced the lesion volume by up to 50% at 24, 48, and 72 hours post-middle cerebral artery occlusion, which was associated with a marked functional improvement to 48 hours. In NR58-3.14.3-treated rats, the number of infiltrating granulocytes and macrophages within perilesional regions were reduced, but there were no detectable differences in inflammatory cell numbers within core ischemic areas. The authors reported increased expression of the cytokines, TNF-alpha, and IL-8-like cytokines within the ischemic lesion, but no differences between the NR58-3.14.3-treated rats and controls were reported. Although chemokines can have pro- or antiinflammatory action, these data suggest the overall effect of chemokine up-regulation and expression in ischemia-reperfusion injury is detrimental to outcome.
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time\n MR Imaging (2016)

Magnetic resonance imaging (MRI) nowadays serves as an important modality for\ndiagnostic and therapeutic guidance in clinics. However, the {\\it slow\nacquisition} process, the dynamic deformation of organs, as well as the need\nfor {\\it real-time} reconstruction, pose major challenges toward obtaining\nartifact-free images. To cope with these challenges, the present paper\nadvocates a novel subspace learning framework that permeates benefits from\nparallel factor (PARAFAC) decomposition of tensors (multiway data) to low-rank\nmodeling of temporal sequence of images. Treating images as multiway data\narrays, the novel method preserves spatial structures and unravels the latent\ncorrelations across various dimensions by means of the tensor subspace.\nLeveraging the spatio-temporal correlation of images, Tykhonov regularization\nis adopted as a rank surrogate for a least-squares optimization program.\nAlteranating majorization minimization is adopted to develop online algorithms\nthat recursively procure the reconstruction upon arrival of a new undersampled\n$k$-space frame. The developed algorithms are {\\it provably convergent} and\nhighly {\\it parallelizable} with lightweight FFT tasks per iteration. To\nfurther accelerate the acquisition process, randomized subsampling policies are\ndevised that leverage intermediate estimates of the tensor subspace, offered by\nthe online scheme, to {\\it randomly} acquire {\\it informative} $k$-space\nsamples. In a nutshell, the novel approach enables tracking motion dynamics\nunder low acquisition rates `on the fly.' GPU-based tests with real {\\it in\nvivo} MRI datasets of cardiac cine images corroborate the merits of the novel\napproach relative to state-of-the-art alternatives.\n