gebhart/patrepeval huggingface dataset:
The Realm of Education in the Thought of Kurt Hahn (1966)

TIME AND AGAIN, the most powerful of stimuli to educational thinking and planning have come from great educational outsiders, who were not bound to any academic school of thought, and so were able to call into question all the more courageously and unconventionally what had seemed to be securely established. Such men went far beyond the usual questions about instruction in class, and treated education in an unorthodox fashion as a means to renewal of life. Views of varying importance and influence would need to be mentioned in this connection. If, however, we restrict the scope of our survey to the line of recent reformist educators, Kurt Hahn may justly claim a place alongside Grundtvig, Lichtwark, Lietz and Geheeb. Seen from this angle, Kurt Hahn appears as one of those important figures who warn and inspire, as a man who, fired by a deep sense of responsibility in face of spiritual and moral decline among large sections of the people, attempts to initiate an effective reform of its way of life. As is the case with all the programmes of the New Education movement in the decades preceding and following the turn of the century, Hahn starts from a critique of contemporary culture. Against the background of the bitter experience of the First World War his critique strikes one as close to reality and so more disquieting than the already familiar tones of the 'professional educationists', from which Hahn, from the beginning, tries to dissociate himself, as also from the practice of the State schools. Failure to set the child attractive tasks suited to his stage of development often brings on our state schools the stigma of being a mere teaching apparatus. In spite of many recognisable attempts to link them with sense and experience and bring them closer to life, the tasks set remain something cleverly imposed from without; they do not give expression to the spontaneous vital energy of youth. Here we observe one of the limitations of the state school as such. This limitation can be made more elastic but cannot in principle be removed. With this background in mind, Hahn has time and again expressed the insight that attractive and worthwhile tasks performed in an agreeable setting enhance young people's pleasure in learning. This, equally with his recognition that acceptance of responsibility makes the personality of the growing child selfless and capable of enthusiasm, are of the
A Game-Theoretic Dynamic Power Management Policy on Wireless Sensor Network (2006)

Game theory is a set of tools developed to model interactions between agents with conflicting interests, and is thus well-suited to address some problems in communications systems. In this paper we apply game theory to wireless sensor network power saving problem, and designed a dynamic power management policy for the nodes in the network. The policy has good effects on power saving while the complexity is low.
Using IMS as a Service Framework (2007)

While IMS was specified and is often presented as a fairly complex core network, it can also be perceived as a very powerful and simple service framework. This IMS service framework can be used to implement new services, but its main strength might eventually be in its ability to seamlessly integrate existing services and deliver them to end-users in an optimized manner.
Reliability enhancement of Navier-Stokes codes through convergence enhancement (1993)

Reduction of total computing time required by an iterative algorithm for solving Navier-Stokes equations is an important aspect of making the existing and future analysis codes more cost effective. Several attempts have been made to accelerate the convergence of an explicit Runge-Kutta time-stepping algorithm. These acceleration methods are based on local time stepping, implicit residual smoothing, enthalpy damping, and multigrid techniques. Also, an extrapolation procedure based on the power method and the Minimal Residual Method (MRM) were applied to the Jameson's multigrid algorithm. The MRM uses same values of optimal weights for the corrections to every equation in a system and has not been shown to accelerate the scheme without multigriding. Our Distributed Minimal Residual (DMR) method based on our General Nonlinear Minimal Residual (GNLMR) method allows each component of the solution vector in a system of equations to have its own convergence speed. The DMR method was found capable of reducing the computation time by 10-75 percent depending on the test case and grid used. Recently, we have developed and tested a new method termed Sensitivity Based DMR or SBMR method that is easier to implement in different codes and is even more robust and computationally efficient than our DMR method.
The effect of PEG molecular weights on dissolution behavior of simvastatin in solid dispersions. (2013)

The purpose of the present study was to investigate the effect of polyethylene glycol (PEG) molecular weights (6000, 12000 and 20000) as solid dispersion (SD) carriers on the dissolution behavior of simvastatin. SDs with various drug : carrier ratios were prepared by solvent method and evaluated for dissolution rate. Differential scanning calorimetry (DSC), X-ray diffraction (XRD), infrared spectroscopy and solubility studies were also performed on the optimum SD formulation. Samples prepared with all three types of PEG showed improved drug dissolution compared to intact drug and corresponding physical mixtures. Meanwhile, the best result was obtained by PEG 12000 with drug : carrier ratio of 1:7 which showed a 3-fold increase in dissolution rate compared to the intact drug. Based on DSC and XRD, no crystalline change occurred during the sample preparation. Solubility studies revealed that increasing the PEG molecular weight resulted in higher phase solubility of drug. In addition, saturated solubility of the optimum SD was significantly higher than that of intact drug and the related physical mixture (24.83, 8.74 and 8.88 μg/mL, respectively) that could be due to the decreased particle size and aggregation. The results confirmed the influence of PEG molecular weight on drug dissolution rate from solid dispersion systems.
Targeting the osteosarcoma cancer stem cell (2010)

Osteosarcoma is the most common type of solid bone cancer and the second leading cause of cancer-related death in pediatric patients. Many patients are not cured by the current osteosarcoma therapy consisting of combination chemotherapy along with surgery and thus new treatments are urgently needed. In the last decade, cancer stem cells have been identified in many tumors such as leukemia, brain, breast, head and neck, colon, skin, pancreatic, and prostate cancers and these cells are proposed to play major roles in drug resistance, tumor recurrence, and metastasis. Recent studies have shown evidence that osteosarcoma also possesses cancer stem cells. This review summarizes the current knowledge about the osteosarcoma cancer stem cell including the methods used for its isolation, its properties, and its potential as a new target for osteosarcoma treatment.
An efficient approach for error diagnosis in HDL design (2003)

The growing of the modern design complexity leads the design error diagnosis to be a challenge for designers. In this paper, we propose an efficient approach for design error diagnosis automatically for designs in HDL. This approach can handle multiple errors occurring in a HDL design simultaneously with only one test case by analyzing the simulation outputs of the incorrect implementation. Furthermore, this approach reduces the error space by eliminating those statements that have no or lower possibility to become the error sources with retaining at least one error source in it. Hence, the effort spent on the debugging process can be greatly reduced.
Carbon-Stabilized Interlayer-Expanded Few-Layer MoSe<sub>2</sub> Nanosheets for Sodium Ion Batteries with Enhanced Rate Capability and Cycling Performance (2016)

Sodium ion batteries (SIBs) have been considered as a promising alternative to lithium ion batteries, owing to the abundant reserve and low-cost accessibility of the sodium source. To date, the pursuit of high-performance anode materials remains a great challenge for the SIBs. In this work, carbon-stabilized interlayer-expanded few-layer MoSe<sub>2</sub> nanosheets (MoSe<sub>2</sub>@C) have been fabricated by an oleic acid (OA) functionalized synthesis-polydopamine (PDA) stabilization-carbonization strategy, and their structural, morphological, and electrochemical properties have been carefully characterized and compared with the carbon-free MoSe<sub>2</sub>. When evaluated as anode for sodium ion half batteries, the MoSe<sub>2</sub>@C exhibits a remarkably enhanced rate capability of 367 mA h g<sup>-1</sup> at 5 A g<sup>-1</sup>, a high reversible discharge capacity of 445 mA h g<sup>-1</sup> at 1 A g<sup>-1</sup>, and a long-term cycling stability over 100 cycles. To further explore the potential applications, the MoSe<sub>2</sub>@C is assembled into sodium ion full batteries with Na<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> (NVP) as cathode materials, showing an impressively high reversible capacity of 421 mA h g<sup>-1</sup> at 0.2 A g<sup>-1</sup> after 100 cycles. Such results are primarily attributed to the unique carbon-stabilized interlayer-expanded few-layer MoSe<sub>2</sub> nanosheets structure, which facilitates the permeation of electrolyte into the inner of MoSe<sub>2</sub> nanosheets, promoting charge transfer efficiency among MoSe<sub>2</sub> nanosheets, and accommodating the volume change from discharge-charge cycling.
A Sparse Representation-Based Algorithm for Pattern Localization in Brain Imaging Data Analysis (2012)

Considering the two-class classification problem in brain imaging data analysis, we propose a sparse representation-based multi-variate pattern analysis (MVPA) algorithm to localize brain activation patterns corresponding to different stimulus classes/brain states respectively. Feature selection can be modeled as a sparse representation (or sparse regression) problem. Such technique has been successfully applied to voxel selection in fMRI data analysis. However, single selection based on sparse representation or other methods is prone to obtain a subset of the most informative features rather than all. Herein, our proposed algorithm recursively eliminates informative features selected by a sparse regression method until the decoding accuracy based on the remaining features drops to a threshold close to chance level. In this way, the resultant feature set including all the identified features is expected to involve all the informative features for discrimination. According to the signs of the sparse regression weights, these selected features are separated into two sets corresponding to two stimulus classes/brain states. Next, in order to remove irrelevant/noisy features in the two selected feature sets, we perform a nonparametric permutation test at the individual subject level or the group level. In data analysis, we verified our algorithm with a toy data set and an intrinsic signal optical imaging data set. The results show that our algorithm has accurately localized two class-related patterns. As an application example, we used our algorithm on a functional magnetic resonance imaging (fMRI) data set. Two sets of informative voxels, corresponding to two semantic categories (i.e., "old people" and "young people"), respectively, are obtained in the human brain.
Soft Actuators Based on Liquid‐Crystalline Elastomers (2006)

Molecules that twitch: Liquid-crystalline elastomers (LCEs) show promise in applications as soft actuators, with advantages such as large deformations and high-speed, two- (contraction) or three-dimensional (bending) actions. Earlier systems were macroscopic (mm/cm) in size; however, a soft lithography technique called replica molding was recently used to create LCE pillars on the micrometer scale.
Nurse recruitment and retention in long-term care. (1980)

The administrator and director of nursing are responsible for initiating and implementing a facility and nursing philosophy that will attract nurses to a career in the long-term care facility. Much of the "crisis" character of recruitment can be eliminated by a systematic, well-defined nurse recruitment program. A working atmosphere that allows an individual to make use of her intellectual and creative abilities and permits use of more of her total personality can attract and hold employees.
Fuzzy Neural Intelligent Systems (2018)

Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algorithms, and designs of systems for specific applications. There has been little theoretical support for fuzzy neural systems, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing their focus into three main areas of interest, the authors give a systematic, comprehensive treatment of the relevant concepts and modern practical applications:Fundamental concepts and theories for fuzzy systems and neural networks.Foundation for fuzzy neural networks and important related topicsCase examples for neuro-fuzzy systems, fuzzy systems, neural network systems, and fuzzy-neural systemsSuitable for self-study, as a reference, and ideal as a textbook, Fuzzy Neural Intelligent Systems is accessible to students with a basic background in linear algebra and engineering mathematics. Mastering the material in this textbook will prepare students to better understand, design, and implement fuzzy neural systems, develop new applications, and further advance the field.
Experimental Study on External Supercharging of DI Diesel Engine with Swirl Chamber Combustion System (2011)

In order to meet emission standards for nonroad diesel engines and improve the quality of gas mixture, a new swirl chamber combustion system was brought forward. The external supercharging system in diesel engine is investigated. Experimental research in a singer cylinder 135 diesel engine with four valves is accomplished using swirl combustion chamber under several different supercharging pressures. The results showed that fuel consumption and emissions are reduced under external supercharging, and there is minimum fuel consumption under supercharging pressure of 0.15MPa. Under supercharging pressure of 0.18MPa, NOx emission is lower 600×10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-6</sup> than that of normal pressure at 8°CA BTDC of fuel supply advanced angle in swirl combustion chamber. The four-hole nozzle is used at 90 percent load, which diameter is 0.36mm, and nozzle hole cone angle is 140°.
Comparison of Postoperative Analgesic Effects of Intraarticular Bupivacaine and Morphine Following Arthroscopic Knee Surgery (1992)

Recent studies have shown that, in the presence of inflammation, the local administration of opioids results in analgesia. The analgesic efficacy of local anesthetics and morphine administered intraarticularly was compared in patients undergoing arthroscopic knee surgery under epidural anesthesia. We compared postoperative pain scores (VAS) and opioid requirements among 47 patients receiving, in a randomized, double-blinded fashion, one of three intraarticular medications (20 ml): normal saline with 100 micrograms epinephrine (group 1, n = 16); 0.25% bupivacaine with 100 micrograms epinephrine (group 2, n = 15); and 3 mg morphine sulfate and 100 micrograms epinephrine in normal saline (group 3, n = 16). VAS scores were similar in the groups preoperatively and on arrival in the recovery room. At the end of the first postoperative hour, the residual sensory blockade was minimal in all three groups (mean = 3.8-4.1 segments) and almost total recovery occurred in all three groups before the second postoperative hour. The VAS in group 3 was not significantly different than group 1 at any time interval. Intraarticular bupivacaine (group 2) provided significantly better analgesia than did saline or morphine (group 1 or 3) in the first 2 postoperative hours (ANOVA, P < .05). Subsequent VAS scores were not significantly different in the three groups. While no patient in group 2 requested analgesics during the first postoperative hour, nine patients in group 3 required systemic analgesics (P < .01). We conclude that no evidence for a peripheral opiate-receptor mediated analgesia could be demonstrated in patients undergoing arthroscopic knee surgery under epidural anesthesia.
NOMBRAMIENTOS EN DESARROLLO INSTITUCIONAL (2008)

ROSAURA RUIZ GUTIERREZ, SECRETARIA DE DESARROLLO INSTITUCIONAL, DIO POSESION -POR ACUERDO DEL RECTOR JOSE NARRO ROBLES- A ANNIE PARDO SEMO, COMO COORDINADORA DE ESTUDIOS DE POSGRADO; A ADOLFO RODRIGUEZ GALLARDO, EN LA DIRECCION GENERAL DE BIBLIOTECAS, Y A JOSE LUIS PALACIO PRIETO, EN EL CENTRO DE ENSENANZA PARA EXTRANJEROS. ADEM S, SE RATIFICO EN SUS CARGOS A ROSAMARIA VALLE GOMEZ-TAGLE, EN LA DIRECCION GENERAL DE EVALUACION EDUCATIVA, Y A FRANCISCO CERVANTES PEREZ, EN LA COORDINACION DE UNIVERSIDAD ABIERTA Y EDUCACION A DISTANCIA (CUAED). SE PROPORCIONA LOS CURRICULOS DE ANNIE PARDO, ADOLFO RODRIGUEZ Y JOSE LUIS PALACIO PRIETO.
<title>Underwater Range Gated Photography</title> (1966)

Underwater optical range-gating, designed to extend the maximum range of underwater photography, has been demonstrated in a series of experiments conducted at the NOTS Morris Dam Test Range. With black tape on Scotchlite being used as a target. comparison photographs of gated and non-gated exposures showed promising improvement in the clarity of the gated pictures. This was attributable to the elimination of most of the backscattered light. A description of the apparatus and a sample of the data obtained at various target distances are presented and discussed.
An overview of climate and crop yield in closed greenhouses (2012)

SummaryThe closed greenhouse is a recent innovation in the horticulture industry. Cooling by ventilation is replaced partly (in semi-closed greenhouses) or completely (in closed greenhouses) by mechanical cooling. Excess solar energy is collected and stored to be reused to heat the greenhouse. In temperate climates, this concept combines improved crop production with energy savings. This paper presents an overview of climate, crop growth and development, and crop yield in closed and semi-closed greenhouses. The technical principles of a closed greenhouse are described and the macroclimate and microclimate arising from this are studied. The consequences of the typical growth conditions found in closed greenhouses for crop physiology and crop yield are examined. Finally, the experiences of commercial growers are presented. In temperate climates, closed greenhouses can reduce the use of fossil fuel-derived energy by 25 – 35%, compared with open greenhouses. With high global radiation, the climate in closed greenhouses is characterised by high CO2 concentrations, high air humidity, improved temperature control, and a vertical temperature gradient. An annual increase in production of 10 – 20% is realistic, with reduced amounts of supplied CO2. The yield increase is primarily obtained through increased rates of photosynthesis due to the higher CO2 concentrations in closed greenhouses. To introduce this innovation into practice, knowledge transfer was a key factor for its implementation and the realisation of increased production levels. Future trends will require minimising the use of fossil fuels and increasing the level of control of the production process. Closed and semi-closed greenhouses fit seamlessly into this trend as they allow for a more controlled climate and higher levels of production, combined with savings in fossil fuel use.
Characteristics of the new YAlO/sub 3/:Ce compared with BGO and GSO (1993)

The characteristics of YAlO/sub 3/:Ce (YALO) used as a fast scintillation detector with high density (5.35 gm/cm/sup 3/) and high light yield were investigated and compared with those of other scintillation materials. The decay of the scintillation light could be described by the sum of two exponentials with decay constants of 31 ns and 246 ns and contributing 98% and 2% to the total light yield, respectively. The light yield of 19700 photons/MeV was measured by comparing the number of photoelectrons produced in YAlO in BGO under the same conditions. The energy resolution at a gamma ray energy of 511 keV was 6.7% for a 4.0*8.0*25.0 mm/sup 3/ sample. The FWHM of a timing measurement using two YAlO crystals detecting annihilation quanta (with 200 keV threshold) was 1.1 ns. Monte Carlo simulations showed that the crystal depth for the absorption of 90% of 511 keV gamma quanta is 51.8 mm in YAlO (compared with 25.2 mm in BGO).< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Object-oriented design of trouble call analysis system on personal computer (1995)

The paper presents an implementation of a trouble call analysis and service restoration assistance system based on object-oriented techniques. The system utilises various data from the distribution system, the dispatchers' past experience, and employs the graphical display capabilities of a personal computer to provide helpful aid to the dispatchers during the service restoration process. The system data are organised in an object-oriented structure, providing better flexibility for implementing various functions as well as for future expansion and maintenance. The key functions performed by the system and the associated implementation approach are presented.
Effect of trehalose on cryopreservation of pure peripheral blood stem cells (2017)

Stem cells are an important tool for the study of hematopoiesis. Despite developments in cryopreservation, post-thaw cell death remains a considerable problem. Cryopreservation protocol should limit cell damage due to freezing and ensure the recovery of the functional cell characteristics after thawing. Thus, the use of cryoprotectants is essential. In particular, the efficacy of trehalose has been reported for clinical purposes in blood stem cells. The aim of the current study was to establish an efficient method for biological research based on the use of trehalose, to cryopreserve pure peripheral blood stem cells. The efficacy of trehalose was assessed <i>in vitro</i> and the cell viability was evaluated. The data indicate that trehalose improves cell survival after thawing compared with the standard freezing procedure. These findings could suggest the potential for future trehalose application for research purposes in cell cryopreservation.
Overexpression of neurogenin1 induces neurite outgrowth in F11 neuroblastoma cells (2002)

Neurogenin1 (Ngn1) is a basic helix-loop-helix (bHLH) transcription factor expressed in neuronal precursors in the developing nervous system. The function of Ngn1 in neurogenesis has been shown in various aspects. In this study, we investigated the neurogenic potential of Ngn1 using neuroblastoma cell line, F11, which could be induced to differentiate into neurons in the presence of cAMP. To investigate the expression of Ngn1, expression vectors for the full-length and the C- terminal deletion mutant of Ngn1 were constructed and their transactivation potential was verified using reporter gene containing the E-box sequence. Overexpression of the full-length Ngn1 induced neurite outgrowth in F11 cells in the absence of cAMP. A C-terminal deletion mutant, Ngn1(1-197), inhibited neurite outgrowth induced by cAMP in F11 cells. These results indicate that the Ngn1 plays an important role in differentiation of neuroblastoma cells and the C terminus of Ngn1 is essential for the efficient differentiation.