gebhart/patrepeval huggingface dataset:
Understanding Urban Growth: a Conceptual Model (2003)

Understanding the urban growth system is a prerequisite for modelling and forecasting future trends of urban land use/cover change and its ecological impacts. As urban growth involves various actors with different patterns of behaviour, we argue that scientific understanding must be based on elaborated complexity theory and a multidisciplinary framework. The theoretical analysis can provide a guideline for selecting modelling methods currently available in complexity modelling and in remote sensing and GIS environments. This paper first proposes a conceptual model for defining urban growth and its complexity, in which spatial, temporal and decision-making complexity are distinguished as separate domains. Second, this paper links the conceptual model with the major current methods of modem urban modelling, such as cellular automata, fractals, neural networks, multi-agent, spatial statistics etc. This confrontation enables the possibilities of various modelling methods to understand urban growth complexity to be indicated. Third, this paper evaluates the operational implementation of representative methods based on criteria such as interpretability, data need and GIS embedded ness. Finally, two case studies are used to test the conceptual model.
The mTOR Kinase Inhibitors, CC214-1 and CC214-2, Preferentially Block the Growth of EGFRvIII-Activated Glioblastomas (2013)

These results identify CC214-1 and CC214-2 as potentially efficacious mTOR kinase inhibitors in glioblastoma, and suggest a strategy for identifying patients most likely to benefit from mTOR inhibition. In addition, this study also shows a central role for autophagy in preventing mTOR-kinase inhibitor-mediated tumor cell death, and suggests a pharmacologic strategy for overcoming it.
A Simple Method To Purify Withanolide A From The Roots Of Withania Somnifera Dunal (2011)

Withania somnifera, commonly known as Ashwagandha, is a valued herb in Ayurvedic medicine. Roots, leaves and preparations of the plant are traditionally used as tonic, hypnotic, sedative and diuretic. W.somnifera mainly contains withanolides which are specific to the Solanaceae family. Withanolides are biologically active secondary metabolites present in roots and leaves of W.somnifera. In the present study, we have standardized the protocol for the extraction and purification of Withanolide A from the dried in vivo root of W.somnifera. Withanolide A is having a high medicinal value and possesses potent anti-tumor and antioxidant properties. This study involves a detailed investigation about the accumulation of secondary metabolite content in the in vivo root both quantitatively and qualitatively extracts the pure compound using the simple techniques viz., Thin Layer Chromatography, Column Chromatography and High Pressure Liquid Chromatography.
Extremely high aspect ratio GaAs and GaAs/AlGaAs nanowaveguides fabricated using chlorine ICP etching with N<sub>2</sub>-promoted passivation (2010)

Semiconductor nanowaveguides are the key structure for light-guiding nanophotonics applications. Efficient guiding and confinement of single-mode light in these waveguides require high aspect ratio geometries. In these conditions, sidewall verticality becomes crucial. We fabricated such structures using a top-down process combining electron beam lithography and inductively coupled plasma (ICP) etching of hard masks and GaAs/AlGaAs semiconductors with Al concentrations varying from 0 to 100%. The GaAs/AlGaAs plasma etching was a single-step process using a Cl(2)/BCl(3)/Ar gas mixture with various fractions of N(2). Scanning electron microscope (SEM) observations showed that the presence of nitrogen generated the deposition of a passivation layer, which had a significant effect on sidewall slope. Near-ideal vertical sidewalls were obtained over a very narrow range of N(2), allowing the production of extremely high aspect ratios (>32) for 80 nm wide nanowaveguides.
Ethylene Polymerization with Silica‐Supported Nickel‐Diimine Catalyst: Effect of Support and Polymerization Conditions on Catalyst Activity and Polymer Properties (2003)

Abstract Ethylene was polymerized using both homogeneous and modified methylaluminoxane (MMAO)‐treated silica supported nickel‐diimine catalysts (1,4‐bis(2,6‐diisopropylphenyl) acenaphthene diimine nickel( II ) dibromide) in a slurry semibatch reactor. The effects of catalyst support and polymerization conditions (ethylene pressure and reaction temperature) on catalyst activity and polymer properties were systematically investigated. The supported catalyst gave far lower activity than the homogeneous catalyst. The activities of both catalyst systems increased with polymerization temperature with a maximum at 40 °C. Compared with the homogeneous catalyst, the supported catalyst system produced polyethylene with a different microstructure. Due to steric effects, the supported catalyst system exhibited lower chain walking rates than the homogeneous catalyst, producing polymers with less branching content and, thus higher melting points. Depending on polymerization conditions, two active site populations were observed during polymerization using supported catalyst; one population remained fixed on the surface of the support, and the other was extracted from the support, exhibiting the same polymerization behavior as the homogeneous catalyst. DSC thermograms for polyethylene produced with homogeneous and supported catalysts at an ethylene pressure of 50 psig (3.45 · 10 5 Pa) and reaction temperature 40 °C. magnified image DSC thermograms for polyethylene produced with homogeneous and supported catalysts at an ethylene pressure of 50 psig (3.45 · 10 5 Pa) and reaction temperature 40 °C.
Franciscan Missionaries (1995)

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Kinetics of allophycocyanin's trimer-monomer equilibrium (1987)

Kinetic studies of the dissociation of allophycocyanin trimers to monomers have been performed by using stopped-flow techniques. The dissociation was monitored by two techniques: by light scattering to observe the molecular weight changes directly and by 650-nm absorbance to observe the linkage of quaternary structure to spectra. The light-scattering experiments showed a simple exponential decay of trimers to monomers with a dissociation constant of 0.23 s-1. The absorption changes were complex, with two processes occurring. The faster absorption change appeared to be almost simultaneous with the molecular weight change (about 0.27 s-1) and was perhaps totally coordinated with it. The slower absorption change (0.071 s-1) was possibly a result of a conformational change in the chromophore arising during the conversion from newly dissociated monomers to equilibrium monomers.
Vibration of spinning discs and powder formation in centrifugal atomization (2010)

Spinning discs with liquid film on the surface have numerous applications in many industrial processes and have attracted a lot of investigations. Centrifugal atomization of metallic melts using a spinning disc is an efficient process for powder production and spray deposition, which is a typical example of a spinning disc interacting with a liquid film. In this paper, the vibration of an atomizing disc excited by a moving melt is analysed and the role of vibration in the disintegration of the melt film on atomizing discs is then investigated. A dynamic model of the atomizing disc as a spinning Kirchhoff plate is established with moving melt film treated as a moving load on the disc and as an unstable growing wave interacting with the surrounding air outside the disc. The powder size is analysed theoretically and then compared with experimental results. It is found that the predicted results agree with the experimental results very well in the film disintegration mode. Furthermore, the influences of the atomizer parameters on the melt break up and powder size are discussed. The control parameters in the centrifugal atomization are identified, which can provide guidance for atomizer designs.
Inhibitors of Tyrosine Kinases in the Treatment of Psoriasis (2000)

Psoriasis is a heterogenous skin disease, characterized by epidermal hyperproliferation, abnormal keratinization and inflammation. The heterogeneity of the disease results probably from the interaction of multiple gene abnormalities with environmental factors. The new approaches to drug design have become refocused to the emerging understanding of the role of signaling pathways in health and disease. Protein tyrosine kinases (PTKs) regulate cell proliferation, differentiation and immune processes. Uncontrolled signaling from receptor and intracellular tyrosine kinases can lead to numerous proliferative diseases: cancer, leukemia, restenosis and psoriasis. Identification of PTKs that play a key role in a defined disease can lead to a selective drug. The balance of signals which regulate the homeostasis of normal epidermis is altered in psoriasis. Several lines of evidence suggest a role for the EGF receptor system in this process. Therefore, blockers of the EGFR kinase were suggested as potent antipsoriasis agents. PTK inhibitors from the tyrphostin family were found to block EGF - dependent cell proliferation. AG 1571 (SU 5271) potently inhibits ligand-induced autophosphorylation of EGF-R, downstream signal transduction events, DNA replication and cell cycle progression at micromolar concentrations, as well as proliferation of keratinocytes isolated from psoriatic lesions in excellent correlation with its EGFR kinase inhibitory activity in these cells. AG 1571 (SU 5271) has been in clinical trials by SUGEN Inc. since early 1997. Overexpression of the EGFR is the hallmark of most epithelial cancers. Therefore one can view blockers of the EGFR kinase as becoming universal inhibitors. Tyrphostins are the first signal transduction agents to be used in the clinic. This article summarizes recent progress in the development of PTK inhibitors in the treatment of psoriasis.
Immunoactive chimeric ST‐LT enterotoxins of <i>Escherichia coli</i> generated by in vitro gene fusion (1986)

Two different lengths of the gene encoding Escherichia coli heat-stable toxin (STa) were fused to the carboxy end of the gene coding for the E. coli heat-labile toxin A-subunit (LTA). The hybrid genes directed expression of chimeric LTA-STa proteins. Association of these chimeras with native heat-labile toxin B-subunit (LTB) resulted in protein complexes that bound to GM1 ganglioside and thereby could be assayed in a GM1 ELISA. The complexes reacted with monoclonal antibodies against either LTA, LTB or STa indicating that the STa and LT epitopes remained immunologically intact after fusion. Genetically constructed chimeric proteins exhibiting LT and STa antigens on the same molecule may represent a promising approach to development of broadly protective immunoprophylactic agents and/or useful immunodiagnostic reagents for diarrhoeal diseases caused by enterotoxinogenic E. coli.
Increased Frontal Response May Underlie Decreased Tinnitus Severity (2015)

Individuals with lower tinnitus distress may utilize frontal regions to better control their emotional response to affective sounds. Our analysis also suggests physical activity may contribute to lower tinnitus severity and greater engagement of the frontal cortices. We suggest that future intervention studies focus on changes in the function of limbic and frontal regions when evaluating the efficacy of treatment. Additionally, we recommend further investigation concerning the impact of physical activity level on tinnitus distress.
Kernel particle filter for visual tracking (2005)

A new particle filter-the Kernel Particle Filter (KPF)-is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated from the kernel density estimate of the posterior. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident in scenarios of small system noise or weak dynamic models where the standard particle filter usually fails.
Schedule Dependent Efficacy of Gefitinib and Docetaxel for Bladder Cancer (2006)

Docetaxel followed by gefitinib demonstrated sequence specific efficacy against gefitinib sensitive bladder cancer compared with gefitinib followed by docetaxel or either drug alone. Accordingly gefitinib administration concurrently or after chemotherapy might be the sequence of choice and it should be considered for future clinical trials.
An optimized Protocol for Human M2 Macrophages using M‐<scp>CSF</scp> and <scp>IL</scp>‐4/<scp>IL</scp>‐10/<scp>TGF</scp>‐<i>β</i> Yields a Dominant Immunosuppressive Phenotype (2014)

Monocytes are highly abundant circulatory effector cells and play a vital role in driving or resolving inflammatory processes depending on their activation phenotype. We investigated and compared a panel of polarization protocols of blood-derived monocytes to achieve a stable, optimal and effective regimen for in vitro induction of immunosuppressive human macrophages, evaluating their surface receptor expression, cytokine profile, scavenging function and ability to suppress T-cell proliferation. Importantly, we assessed the effect of copolarization or secondary pro-inflammatory stimulation of a primary anti-inflammatory activation phenotype. A combination of IL-4/IL-10/TGF-β yielded a relatively stable and dominant immunosuppressive phenotype characterized by higher IL-10 production and down-regulated TNF-α, IL-6, CD86, CD274 and MHC II expression. Functionally, IL-4/IL-10/TGF-β-stimulated macrophages (M2) had a potent deactivating effect on a subsequent pro-inflammatory LPS/IFNγ-activated macrophage (M1) stimulation and significantly suppressed T-cell proliferation. Monocytes derived from patients with chronic inflammatory diseases could be induced to be anti-inflammatory using this protocol. Pre-differentiation with GM-CSF or M-CSF was further demonstrated to enhance final M1/M2 activation status. Our findings indicate a robust polarization protocol for generation of specific immunosuppressive human monocyte-derived macrophages.
Assembly of bacteriophage PRD1: particle formation with wild-type and mutant viruses (1982)

Bacteriophage PRD1 contains DNA, 17 proteins, and lipid. The assembly pathway involves the formation of empty particles that contain lipid and all of the proteins of mature virions, with the possible exception of one. The major and minor capsid proteins, P3 and P5, occur as soluble multimers before they appear in the empty particles. Nonsense mutants of PRD1 that involve structural proteins of the virion other than P3 form particles that are missing only the defective protein. Those mutants that are unable to form P3 do not form particles. Mutations in two other genes that code for nonstructural proteins (P10, which is membrane bound, and P17, which is soluble) result in the absence of particles. Protein P2 is necessary for adsorption to host cells. Protein P9 is necessary for particle filling with DNA, whereas P20 and P22 are necessary for stable DNA packaging. Electron micrographs of infected cells confirmed the gradient analysis of particle formation. No free vesicles were observed in mutants that could not form complete empty particles, indicating that there are no free intermediate particles before the empty virions.
Exploiting Sparsity to Accelerate Fully Connected Layers of CNN-Based Applications on Mobile SoCs (2017)

Convolutional neural networks (CNNs) are widely employed in many image recognition applications. With the proliferation of embedded and mobile devices, such applications are becoming commonplace on mobile devices. Network pruning is a commonly used strategy to reduce the memory and storage footprints of CNNs on mobile devices. In this article, we propose customized versions of the sparse matrix multiplication algorithm to speed up inference on mobile devices and make it more energy efficient. Specifically, we propose a Block Compressed Sparse Column algorithm and a bit-representation-based algorithm (BitsGEMM) that exploit sparsity to accelerate the fully connected layers of a network on the NVIDIA Jetson TK1 platform. We evaluate the proposed algorithms using real-world object classification and object detection applications. Experiments show that performance speedups can be achieved over the original baseline implementation using cuBLAS. On object detection CNNs, an average speedup of 1.82× is obtained over baseline cuBLAS in the fully connected layer of the VGG model, whereas on classification CNNs, an average speedup of 1.51× is achieved for the fully connected layer of the pruned-VGG model. Energy consumption reduction of 43--46% is also observed due to decreased computational and memory bandwidth demands.
Optical tweezers using a diode laser (1992)

Simple modifications were made to a commercial microscope to enable injection of light from a diode laser, and demonstrate optical tweezers action. The basic properties of microscope optics are presented together with discussion of principles to be followed in arranging the external optics for achieving useful tweezers. Procedures using a single-mode diode laser along with experimental results are presented in enough detail to permit readers to make their own system for trapping and manipulating single cells. It is surprisingly easy to demonstrate tweezers action once some basic concepts are understood.
Detection of JavaScript Injection Eavesdropping on WebRTC communications (2022)

WebRTC is a Google-developed project that allows users to communicate directly. It is an open-source tool supported by all major browsers. Since it does not require additional installation steps and provides ultra-low latency streaming, smart city and social network applications such as WhatsApp, Facebook Messenger, and Snapchat use it as the underlying technology on the client-side both on desktop browsers and mobile apps. While the open-source tool is deemed to be secure and despite years of research and security testing, there are still vulnerabilities in the real-time communication application programming interface (API). We show in this paper how eavesdropping can be enabled by exploiting weaknesses and loopholes found in official WebRTC specifications. We demonstrate through real-world implementation how an eavesdropper can intercept WebRTC video calls by installing a malicious code onto the WebRTC webserver. Furthermore, we identify and discuss several, easy to perform, ways to detect wiretapping. Our evaluation shows that several indicators within webrtc-internals API traces can be used to detect anomalous activities, without the need for network monitoring tools.
Environmental Detection of Clandestine Nuclear Weapon Programs (2016)

Environmental sensing of nuclear activities has the potential to detect nuclear weapon programs at early stages, deter nuclear proliferation, and help verify nuclear accords. However, no robust system of detection has been deployed to date. This can be variously attributed to high costs, technical limitations in detector technology, simple countermeasures, and uncertainty about the magnitude or behavior of potential signals. In this article, current capabilities and promising opportunities are reviewed. Systematic research in a variety of areas could improve prospects for detecting covert nuclear programs, although the potential for countermeasures suggests long-term verification of nuclear agreements will need to rely on methods other than environmental sensing.
Diagnostic use of microsatellite instability in hereditary non-polyposis colorectal cancer (1995)

50 families with a history of colorectal cancer were divided according to whether criteria for hereditary non-polyposis colorectal cancer (HNPCC) were fulfilled totally (A, n = 19) or partly (B, n = 31) and stratified by the demonstration that at least half the cancers tested per family were positive for DNA replication errors (RER+). Accepted clinical and pathological characteristics of HNPCC were found to cluster within 12 A/RER+ families in which the mean number of affected individuals per family was 10.1. Reliance upon clinical data alone may result in over-diagnosis of HNPCC, in small families who just meet the minimum criteria, whereas underdiagnosis is rare. The criteria could be refined by inclusion of RER status.
Heterogeneous Deep Model Fusion for Automatic Modulation Classification (2018)

Deep learning has recently attracted much attention due to its excellent performance in processing audio, image, and video data. However, few studies are devoted to the field of automatic modulation classification (AMC). It is one of the most well-known research topics in communication signal recognition, which remains challenging for traditional methods due to the complex disturbance from other sources. This paper proposes a heterogeneous deep model fusion (HDMF) method to solve the problem in a unified framework. The contributions include: 1) The convolutional neural network (CNN) and long short-term memory (LSTM) are combined by two different ways without prior knowledge involved; 2) A large database, including eleven types of single-carrier modulation signals with various noises as well as a fading channel, is collected with various signal-to-noise ratios (SNRs) based on a real geographical environment; and 3) Experimental results demonstrate that HDMF is super capable of copping with the AMC problem, and achieves much better performance when compared with the independent network. The source code and the database will be publically available.
Bitwise Parallel Bulk Computation on the GPU, with Application to the CKY Parsing for Context-Free Grammars (2016)

The main contribution of this paper is topresent Bitwise Parallel Bulk Computation (BPBC) technique, to accelerate bulk computation, which executes the same algorithm for a lot of instances in turn or in parallel. The idea of the BPBC technique isto simulate a combinational logic circuit for 32 inputsat the same time using bitwise logic operators for 32-bit integerssupported by most processing devices. We will show that the BPBC technique worksvery efficiently on a CPU as well as on a GPU. As a simple example of the BPBC, we first show that the pairwise sums of a lot of integerscan be computed faster using the BPBC technique, if the values of input integers are not large. We also show that the CKY parsing for context-free grammarscan be implemented in the GPU efficientlyusing the BPBC technique. The experimental results using Intel Core~i7 CPUand GeForce GTX TITAN X GPU show thatthe GPU implementation forthe CKY parsing can be more than 400 times fasterthan the CPU implementation.
Novel, potent and selective inhibitors of protein kinase C show oral anti-inflammatory activity. (1991)

Clarification of the precise role of protein kinase C (PKC) in cellular functional responses has been hampered by a lack of potent, selective inhibitors. The structural lead provided by staurosporine, a potent but non-selective protein kinase (PK) inhibitor, was used to derive a series of bis(indolyl)maleimides of which the most potent, Ro 31-8425 (I50: PKC = 8 nM) showed 350-fold selectivity for PKC over cAMP-dependent protein kinase. Ro 31-8425 antagonised cellular processes triggered by phorbol esters (potent, specific PKC activators) and inhibited the allogeneic mixed lymphocyte reaction, suggesting a role for PKC in T-cell activation. Methylation of the primary amine in Ro 31-8425 produced an analogue. Ro 31-8830 which, when administered orally, produced a dose-dependent inhibition of a phorbol ester-induced paw oedema in mice (minimum effective dose = 15 mg/kg). Ro 31-8830 also selectively inhibited the secondary inflammation in a developing adjuvant arthritis model in the rat. The results presented here suggest that these selective inhibitors of PKC may have therapeutic value in the treatment of T-cell-mediated autoimmune diseases.