gebhart/patrepeval huggingface dataset:
A Tetrameric Peptide Derived from Bovine Lactoferricin Exhibits Specific Cytotoxic Effects against Oral Squamous-Cell Carcinoma Cell Lines (2015)

Several short linear peptides derived from cyclic bovine lactoferricin were synthesized and tested for their cytotoxic effect against the oral cavity squamous-cell carcinoma (OSCC) cell lines CAL27 and SCC15. As a control, an immortalized and nontumorigenic cell line, Het-1A, was used. Linear peptides based on the RRWQWR core sequence showed a moderate cytotoxic effect and specificity towards tumorigenic cells. A tetrameric peptide, LfcinB(20-25)4, containing the RRWQWR motif, exhibited greater cytotoxic activity (>90%) in both OSCC cell lines compared to the linear lactoferricin peptide or the lactoferrin protein. Additionally, this tetrameric peptide showed the highest specificity towards tumorigenic cells among the tested peptides. Interestingly, this effect was very fast, with cell shrinkage, severe damage to cell membrane permeability, and lysis within one hour of treatment. Our results are consistent with a necrotic effect rather than an apoptotic one and suggest that this tetrameric peptide could be considered as a new candidate for the therapeutic treatment of OSCC.
A Human T-Lymphotropic Retrovirus (HTLV-III) as the Cause of the Acquired Immunodeficiency Syndrome (1985)

Three human T-lymphotropic viruses have been isolated and characterized in the past 5 years. The ability to culture target cells with T-cell growth factor and sensitive detection systems for the virally encoded polymerase reverse transcriptase permitted isolation of HTLV-I, which is strongly linked to the cause of adult T-cell leukemia and associated with other lymphoid malignancies in endemic areas. The same techniques, using a permissive human tumor cell line, allowed the isolation and characterization of HTLV-III/lymphadenopathy-associated virus, which is implicated as the primary cause of the acquired immunodeficiency syndrome (AIDS). This virus shares some features with HTLV-I and HTLV-II, such as additional genes not found in most retroviruses. One gene codes for a transcriptional activator protein and may be a feature of a larger group of related retroviruses. The clear identification of the primary cause of AIDS has resulted in the development of specific immunologic reagents, preventive and therapeutic proposals, and comprehensive identification of the clinical diseases associated with this virus.
A Simulation Study of an Autonomous Steering System for On-Road Operation of Automotive Vehicles. (1986)

The study of human driving of automotive vehicles is an important aid to the development of viable autonomous vehicle navigation techniques. Observation of human behavior during driving suggests that this activity involves two distinct levels, the conscious and the unconscious. Conscious actions relate to the logical behavior of a driver such as stopping the vehicle when a traffic light is red, slowing down the vehicle when it turns a bend, etc. Such behavior can be described using natural human language. The unconscious actions of a driver are much less obvious. There are many such activities occurring while we are driving a vehicle to a particular destination. One of the important unconscious efforts involves the selection of successive points on the road to steer the vehicle towards in order to achieve the desired road-following behavior. This research work attempts to mimic this unconscious behavior through the use of a computer simulation model. Keywords: Robotics; Artificial intelligence; Mobile; Mathematical models. (Author)
Density Functional Theory-Based Molecular Dynamics Simulation of Acid-Catalyzed Chemical Reactions in Liquid Trioxane (1997)

Ab initio molecular dynamics simulation is used to investigate the kinetics and thermodynamics of some of the chemical reactions that occur during the induction phase of acid-catalyzed polymerization of 1,3,5-trioxane. In particular, the first ab initio calculation of a free-energy profile in a condensed-phase system is presented. The introduction of an H+ ion to a sample of trioxane liquid initiates the complete protolysis of several trioxane molecules in a rapid succession of picoseconds. Subsequently, the re-formation of small formaldehyde oligomers is observed, which break up again after 1−2 ps. The fast kinetics is found to be consistent with the results of a constrained ab initio molecular dynamics evaluation of the free-energy profile for the formation of a protonated dimer. In the trioxane−formaldehyde mixture, this reaction is found to be barrierless with a reaction free energy in the thermal range (10 kJ mol-1). Solvation of the chemically active carbocation by formaldehyde molecules reduces the binding energy compared to that in the gas phase by 1 order of magnitude.
Lipophilic halogenated congeners of 2',3'-dideoxypurine nucleosides active against human immunodeficiency virus in vitro. (1990)

Four 2-amino-6-halo- and four 6-halo-2',3'-dideoxypurine ribofuranosides (ddPs) were synthesized and tested for in vitro activity to suppress the infectivity, cytopathic effect, Gag protein expression, and DNA synthesis of human immunodeficiency virus (HIV). The comparative order of in vitro anti-HIV activity of the eight 6-halo-ddPs was as follows: 2-amino-6-fluoro, 2-amino-6-chloro, 6-fluoro greater than 2-amino-6-bromo greater than 2-amino-6-iodo, 6-chloro greater than 6-bromo greater than 6-iodo. 2-Amino-6-fluoro-, 2-amino-6-chloro-, and 6-fluoro-ddPs showed a potent activity against HIV comparable to that of 2',3'-dideoxyinosine (ddI) or 2',3'-dideoxyguanosine (ddG) and completely blocked the infectivity of HIV without affecting the growth of target cells. The lipophilicity order was as follows: 2-amino-6-iodo greater than 2-amino-6-bromo greater than 2-amino-6-chloro greater than 2-amino-6-fluoro much greater than ddG greater than ddI. All eight 6-halo-ddPs were substrates for adenosine deaminase (ADA; adenosine aminohydrolase, EC 3.5.4.4). The relative rates of hydrolysis by ADA were as follows: ddA, 2-amino-6-fluoro much greater than 2-amino-6-chloro, 2-amino-6-bromo greater than 2-amino-6-iodo. Taken together, these compounds may represent an additional class of lipophilic prodrugs for ddI and ddG and may also provide a strategy for endowing therapeutic purine nucleosides with desirable lipophilicity.
BENEFICIAL AND DETRIMENTAL EFFECTS OF UV ON AQUATIC ORGANISMS: IMPLICATIONS OF SPECTRAL VARIATION (2001)

Solar ultraviolet radiation (UVR) may have beneficial as well as detrimental effects on living systems. For example, UV-B radiation (280–320 nm) is generally damaging, while UV-A radiation (320–400 nm) may cause damage or stimulate beneficial photorepair of UV-B damage. The nature of both direct and indirect effects of UVR in nature depends on both the photon flux density and the spectral composition of the radiation incident on aquatic organisms across environmental UVR gradients in space (depth, transparency, elevation) and time (diel, seasonal, interannual). Here we use the common and widespread freshwater cladoceran Daphnia pulicaria as a model organism to demonstrate the potential importance of these wavelength-specific effects of UVR to the ecology of aquatic organisms. UVR-exposure experiments are used to manipulate both natural solar and artificial UVR sources to examine the beneficial as well as detrimental effects of different wavelengths of UVR. Changes in the spectral composition of solar radiation are also examined along several natural environmental gradients including diel gradients, depth gradients, and dissolved organic carbon (DOC) gradients. The implications of variation in the spectral composition of UVR for aquatic organisms are discussed. The first biological weighting function (BWF) for a freshwater cladoceran is presented here. It demonstrates that the shortest UV-B wavelengths in sunlight are potentially the most damaging per photon. However, due to the greater photon flux density of longer wavelength UVR in sunlight, the net potential damage to Daphnia in nature is greatest for the longer wavelength UV-B and shorter wavelength UV-A radiation in the 305–322 nm range. Overall the contribution of UV-B to the total mortality response of Daphnia exposed to full-spectrum solar radiation for 7 h on a sunny summer day is 64% while UV-A contributes 36%. The BWF for Daphnia is used with the transmission spectrum for Mylar D to demonstrate that Mylar D cuts out only about half of the damaging UVR in sunlight. Following exposure to damaging UV-B, Daphnia exhibits a dramatic increase in survival in the presence of longer wavelength UV-A and visible radiation due to the stimulation of photoenzymatic repair. We present data that demonstrate the importance of both atmospheric ozone and DOC in creating strong environmental gradients in the intensity (irradiance) and spectral composition of solar UVR in nature. The light-absorbing component of DOC, chromophoric dissolved organic matter (CDOM), is particularly important in creating depth refugia from damaging UV-B in freshwater ecosystems. CDOM may also cause intense variations in the ratio of potentially beneficial UV-A to detrimental UV-B radiation to which aquatic organisms are exposed. In addition to changes in atmospheric ozone, future changes in CDOM related to climate change or other environmental disturbances may substantially alter the underwater exposure of a variety of aquatic organisms to different wavelengths of solar UVR.
An enzyme-activatable probe with a self-immolative linker for rapid and sensitive alkaline phosphatase detection and cell imaging through a cascade reaction (2015)

We report the design and synthesis of a novel probe (1) for ALP assay by incorporating a self-immolative linker between a phosphate moiety and resorufin. Because of its good biocompatibility and rapid cell internalization, this probe also exhibited great potential for real-time monitoring of endogenous phosphatase activity in living cells.
Laser patterned polymer/nanotube composite electrodes for nanowire\n transistors on flexible substrates (2017)

Fabrication techniques such as laser patterning offer excellent potential for\nlow cost and large area device fabrication. Conductive polymers can be used to\nreplace expensive metallic inks such as silver and gold nanoparticles for\nprinting technology. Electrical conductivity of the polymers can be improved by\nblending with carbon nanotubes. In this work, formulations of acid\nfunctionalised multiwall carbon nanotubes (f-MWCNT) and poly\n(ethylenedioxythiophene) [PEDOT]: polystyrene sulphonate [PSS] were processed,\nand thin films were prepared on plastic substrates. Conductivity of PEDOT: PSS\nincreased almost four orders of magnitude after adding f-MWCNT. Work function\nof PEDOT:PSS/f-MWCNT films was ~ 0.5eV higher as compared to the work function\nof pure PEDOT:PSS films, determined by Kelvin probe method. Field-effect\ntransistors source-drain electrodes were prepared on PET plastic substrates\nwhere PEDOT:PSS/f-MWCNT were patterned using laser ablation at 44mJ/pulse\nenergy to define 36 micron electrode separation. Silicon nanowires were\ndeposited using dielectrophoresis alignment technique to bridge the\nPEDOT:PSS/f-MWCNT laser patterned electrodes. Finally, top-gated nanowire field\neffect transistors were completed by depositing parylene C as polymer gate\ndielectric and gold as the top-gate electrode. Transistor characteristics\nshowed p-type conduction with excellent gate electrode coupling, with an ON/OFF\nratio of ~ 200. Thereby, we demonstrate the feasibility of using high\nworkfunction, printable PEDOT:PSS/MWCNT composite inks for patterning\nsource/drain electrodes for nanowire transistors on flexible substrates.\n
Modelling, analysis and experimentation of a simple feedback scheme for error correction control (2007)

Data networks are an important part in an increasing number of applications with real-time and reliability requirements. To meet these demands a variety of approaches have been proposed. Forward error correction, which adds redundancy to the communicated data, is one of them. However, the redundancy occupies communication bandwidth, so it is desirable to control the amount of redundancy in order to achieve high reliability without adding excessive communication delay. The main contribution of the thesis is to formulate the problem of adjusting the redundancy in a control framework, which enables the dynamic properties of error correction control to be analyzed using control theory. The trade-off between application quality and resource usage is captured by introducing an optimal control problem. Its dependence on the knowledge of the network state at the transmission side is discussed. An error correction controller that optimizes the amount of redundancy without relying on network state information is presented. This is achieved by utilizing an extremum seeking control algorithm to optimize the cost function. Models with varying complexity of the resulting feedback system are presented and analyzed. Conditions for convergence are given. Multiple-input describing function analysis is used to examine periodic solutions. The results are illustrated through computer simulations and experiments on a wireless sensor network.
Unsupervised Classification in Hyperspectral Imagery With Nonlocal Total Variation and Primal-Dual Hybrid Gradient Algorithm (2017)

In this paper, a graph-based nonlocal total variation method is proposed for unsupervised classification of hyperspectral images (HSI). The variational problem is solved by the primal-dual hybrid gradient algorithm. By squaring the labeling function and using a stable simplex clustering routine, an unsupervised clustering method with random initialization can be implemented. The effectiveness of this proposed algorithm is illustrated on both synthetic and real-world HSI, and numerical results show that the proposed algorithm outperforms other standard unsupervised clustering methods, such as spherical K -means, nonnegative matrix factorization, and the graph-based Merriman-Bence-Osher scheme.
Pancreatic Tumors: Emphasis on CT Findings and Pathologic Classification (2011)

Pancreatic tumors can be classified by their morphologic features on CT. The subtypes include solid tumors, mixed cystic and solid lesions, unilocular cysts, multilocular cystic lesions, and microcystic lesions. Endoscopic US and MRI can provide detailed information for classifying pancreatic lesions. Each subtype has different kinds of tumors and malignant potential, thus the classification can be useful for a better differential diagnosis and treatment planning. For this purpose, we suggest an appropriate modified classification system by using the imaging features of pancreatic tumors with an emphasis on CT findings and illustrate various findings of typical and atypical manifestations.
Tensor Permeability in a Magnetic Insulator (2007)

This chapter contains sections titled: Introduction Tensor Permeability Damping Scalar Permeabilities Effective Permeability and Gyrotropy Kittel Line Low-Field Losses in Unsaturated Magnetic Insulator Magnetic Bias Points Above and Below the Kittel Line Spinwave Manifold Magnetization Values of Various Ferrites The Origin of the Uniform Linewidth in Magnetic Insulators
Operation of high-temperature rf SQUID magnetometers using dielectric SrTiO3 resonators (1995)

The operation of YBa2Cu3O7 rf superconducting quantum interference devices (SQUIDs) using a dielectric SrTiO3 resonator as tank circuit was tested. At 77 K, we attained for such resonators unloaded quality factors Q0 up to 7000 at resonant frequencies near 1 GHz, when measuring without electromagnetic shielding. For a washer SQUID with an area of 4×4 mm2 and an inductance of ≂100 pH, which was properly coupled to the resonator, we measured an approximately 60 μV peak-to-peak SQUID signal and a white flux noise spectral density of SΦ1/2=1×10−5Φ0/√Hz, corresponding to a field sensitivity of BN=105 fT/√Hz. With an additional single-layer flux transformer with a diameter of the pickup loop of 22 mm in flip-chip arrangement, the field sensitivity was improved to 30 fT/√Hz.
Prediction of Probable Major Depressive Disorder in the Taiwan Biobank: An Integrated Machine Learning and Genome-Wide Analysis Approach (2021)

In light of recent advancements in machine learning, personalized medicine using predictive algorithms serves as an essential paradigmatic methodology. Our goal was to explore an integrated machine learning and genome-wide analysis approach which targets the prediction of probable major depressive disorder (MDD) using 9828 individuals in the Taiwan Biobank. In our analysis, we reported a genome-wide significant association with probable MDD that has not been previously identified: <i>FBN1</i> on chromosome 15. Furthermore, we pinpointed 17 single nucleotide polymorphisms (SNPs) which show evidence of both associations with probable MDD and potential roles as expression quantitative trait loci (eQTLs). To predict the status of probable MDD, we established prediction models with random undersampling and synthetic minority oversampling using 17 eQTL SNPs and eight clinical variables. We utilized five state-of-the-art models: logistic ridge regression, support vector machine, C4.5 decision tree, LogitBoost, and random forests. Our data revealed that random forests had the highest performance (area under curve = 0.8905 ± 0.0088; repeated 10-fold cross-validation) among the predictive algorithms to infer complex correlations between biomarkers and probable MDD. Our study suggests that an integrated machine learning and genome-wide analysis approach may offer an advantageous method to establish bioinformatics tools for discriminating MDD patients from healthy controls.
Master's Degrees in Software Engineering: An Analysis of 28 University Programs (2009)

The software engineering institute published the last reference curriculum for a master's in software engineering in 1991. In 2007, a coalition from academia, industry, and government began creating a new reference curriculum. An early step was to establish a baseline of graduate education by surveying 28 master's programs in software engineering. The survey was largely limited to US schools. Key findings showed that the universities viewed software engineering largely as a specialization of computer science, that faculty size is generally small with few dedicated professors, and that new master's programs continue to start despite the decrease in computer science majors over the past few years. We used the IEEE Computer Society's Software Engineering Body of Knowledge (SWEBOK) to structure our analysis of the 28 curricula, focusing primarily on courses and topics required or semirequired of all students. (A course is semirequired if there is at least a 50 percent chance a student must take it.) Major findings show wide variation in the depth and breadth of SWEBOK coverage in required and semirequired courses, less than 40 percent of all programs requiring an introductory course on software engineering, and many universities having required and semirequired courses that are peripheral to SWEBOK.
Knowing documents (1993)

Drawing upon scholarship on legal drafting, current document assembly technology, and aspects of the Standard Generalized Markup Language, this article discusses the forms of knowledge at play in the creation of legal documents. It also examines the notion of self-describing documents and their potential role in new modes of expressing and delivering knowledge pertinent to legal drafting.
Proposition de document de cadrage Évaluation environnementale de projets impliquant des méthodes d'IA (2022)

L'objectif de ce document est de fournir des critères pour l'évaluation des impacts environnementaux des réponses aux appels à projet impliquant des méthodes d'Intelligence Artificielle (IA). Lors de la proposition de ces critères, nous prenons en compte, en plus des impacts généraux des services numériques, les spécificités du domaine de l'IA et en particulier de l'apprentissage automatique : impacts des phases d'apprentissage et d'inférence, collecte des données...
Research on the zoom range of liquid-solid composite lens (2015)

The liquid lens has a broad application prospect in zoom and image systems for its quick corresponding speed, small volume and low consumption. However, the range of focal length is small, because the refractive index of conductive liquid has a little difference to that of non-conductive liquid in the liquid lens. In order to increase the zoom range of the liquid lens, a composite lens made up of a liquid lens and a solid lens is presented in this paper. The focal length variation property of the composite lens has been investigated, and the corresponding composite lens parameters are optimized. The zoom of composite lens with different slope solid interfaces has been studied.
Adenovirus-mediated delivery of soluble ST2 attenuates ovalbumin-induced allergic asthma in mice (2012)

Allergic asthma is associated with excessive T helper type 2 (Th2) cells activation and airway hyperreactivity (AHR), implicated in the context of significant morbidity and mortality. Soluble ST2, a member of the interleukin (IL)-1 receptor family, has been shown to play a critical role in modulation of inflammatory disorders, yet the function of soluble ST2 in allergic inflammation remains unclear. In this study, we examined the possibility of regulating ovalbumin (OVA)-challenged airway inflammation by recombinant adenovirus-mediated sST2-Fc (Ad-sST2-Fc) gene transfer. Single intranasal administration of Ad-sST2-Fc before allergen challenge in OVA-immunized mice profoundly reduced serum immunoglobulin (Ig)E secretion, eosinophil infiltration and concentrations of IL-4, IL-5 and IL-13 in bronchoalveolar lavage fluid compared with administration of a control Ad vector. Histopathological examination of the lungs revealed that sST2-Fc over-expression markedly suppressed allergen-induced peribronchial inflammation and disruption of the alveolar architecture. Moreover, the beneficial effect of sST2-Fc in allergic lung inflammation is related to blocking the IL-33/ST2L signalling. Taken together, these results suggested that administration of Ad-sST2-Fc gene transfer may have therapeutic potential for the immunomodulatory treatment of OVA-mediated allergic pulmonary diseases.