Miracle-dz/UniFAR-FTUs huggingface dataset:
Entelektüel İtaatsizlik ve Politik Mizah: Gezi Direnişi

Yazarin bir diger onemli tespiti ise sudur: Yaraticilik ve mizah, dil, din, sinif, statu, kimlik vs. acisindan farkli toplumsal kesimleri bir araya getirebilecek ve bu kesimleri bir arada tutabilecek tutkal islevi gormustur. Olagan kosullarda bir arada olmasina imkansiz gozuyle bakilan kesimler, Gezi Direnisi’nin sozu edilen ortaklastirici, alasagi edici ve ozgurlestirici niteligi sayesinde bir arada olmayi ‘secmis’, siyasalin var olan halinden memnuniyetsiz olan topluluklarin hukumet- karsiti motivasyonu araciligiyla beraber hareket etmesine olanak vermistir. Iste yatay olarak tum bu kesimleri kesen ve hemen hepsinden ogeler barindiran entelektuel itaatsizlik ve onun kaynaklik ettigi yaraticilik ve mizah, eylemcileri yepyeni bir siyasal soylem etrafinda toplayarak ‘eski’nin geleneksellerine karsi ‘yeni’nin demokratik ve cogulcu niteligi sayesinde ‘entelektuel patika’larin asilmasina olanak saglamistir. Olumsalligin yarattigi firsatlar dunyasi ‘yeni’nin
Tolerance of rat liver allografts induced by short-term selective immunosuppression combining monoclonal antibodies directed against CD25 and CD54 with subtherapeutic cyclosporine.

BACKGROUND Our purpose was to develop and evaluate protocols for selective immunosuppression after liver transplantation using the monoclonal antibodies (mAbs) NDS-61, directed against the interleukin-2 receptor (CD25), and 1A29, directed against the intercellular adhesion molecule-1 (CD54), in combination with subtherapeutic cyclosporine (CsA). METHODS Orthotopic rat liver transplantation (ORLT) was performed in a DA-to-LEW strain combination. Immunosuppression was administered from day 0 to +13. Functional parameters such as survival time, body weight, and serum bilirubin levels were measured and the liver grafts were evaluated histologically. RESULTS A stepwise tapering of CsA from 3 to 0.25 mg/kg/day reduced the long-term survival rate. All animals died at a CsA dosage of 0.25 mg/kg/day, which was therefore defined as subtherapeutic. Monotherapy with the anti-CD25 mAb was performed at dosages of 600 and 1800 microg/kg/day. The lower mAb dosage resulted in a long-term survival rate of 12% and was defined as subtherapeutic. The combination therapy of CsA (0.25 mg/kg/day) and anti-CD25 mAb (600 microg/kg/day) produced a synergistic effect and led to a long-term survival rate of 84%. This survival rate was significantly higher than those after either CsA (P<0.005) or anti-CD25 mAb (P<0.001) monotherapy. Both dosages (10 and 30 microg/kg/day) of anti-CD54 mAb monotherapy as well as anti-CD54 mAb combined with a subtherapeutic dosage of CsA were ineffective in preventing acute allograft rejection. The addition of anti-CD54 mAb (30 microg/kg/day) to combined CsA plus anti-CD25 mAb therapy (triple therapy), however, increased the long-term survival rate to 100%. In the triple therapy group there was no rejection process in the liver allografts at any time, and donor-specific tolerance could be shown by donor-specific and third-party heterotopic heart transplantation. CONCLUSIONS The synergistic action of subtherapeutic CsA plus anti-CD25 mAb NDS-60 could be demonstrated, whereas anti-CD54 mAb only had a positive effect in a triple therapy group. Triple therapy prevented both acute and chronic rejection and induced donor-specific tolerance.
OJ 287 as a Rotating Helix

We present preliminary data from high-cadence 15-GHz VLBA images of OJ 287 from 1995 to 2015. The ridgelines suggest that the jet is rotating, perhaps with a period of ∼30 years. The EVPA of the core rotated by 240◦ in 2001–2002 and decreased slowly after that. The inner jet apparently moved to a new direction after the rotation, as shown by the emergence of a new component at a new PA at 43 GHz, in 2004. This was presaged by a strong rise in the flux density of the core, and then its sudden fall as the new component was identified. The equivalent sequence of events took place about 5 years later at 15 GHz, but in addition the core EVPA had a step in 2006 and moved to be aligned with the new 43-GHz component. The 15-GHz core became optically thin in 2006, but the angular resolution was insufficient to separate the new component from the core until 2010.
Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region

A novel algorithm is developed to downscale microwave brightness temperatures (<inline-formula> <tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula>), obtained at satellite scales of 10–40 to <inline-formula><tex-math notation="LaTeX">$\leq$</tex-math></inline-formula>1 km, meaningful for agricultural applications. Downscaling <inline-formula><tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> directly bypasses the errors induced by inverse modeling encountered while downscaling satellite-based soil moisture products. This algorithm is based upon self-regularized regressive models (SRRM) and uses higher order correlations between auxiliary variables, such as precipitation (PPT), land cover, leaf area index, and land surface temperature, and horizontally polarized <inline-formula><tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> observations. It includes information-theoretic clustering based on auxiliary variables to identify areas of similarity, followed by kernel regression that produces downscaled <inline-formula><tex-math notation="LaTeX"> $\mathrm{T_B}$</tex-math></inline-formula>. The algorithm was evaluated using a multiscale synthetic dataset over North Central Florida for one year, including two growing seasons of corn and one growing season of cotton. Compared to the true <inline-formula><tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula>, the downscaled <inline-formula><tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> had a root-mean-square error (RMSE) of 5.76 K with standard deviation (SD) of 2.8 K during the growing seasons and an RMSE of 1.2 K with an SD of 0.9 K during nonvegetated. The SRRM algorithm effectively captured the variability in <inline-formula><tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> at 1 km through the auxiliary variables. This algorithm was implemented to downscale SMOS observations available for five days during the SMAPVEX-12 experiment. Spatially averaged root-mean-square difference (RMSD) between the downscaled <inline-formula> <tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> and the airborne <inline-formula> <tex-math notation="LaTeX">$\mathrm{T_B}$</tex-math></inline-formula> observations from the airborne passive-active L-band sensor was 6.2 K, with Kullback–Leibler divergences of up to 0.91. For the SMAPVEX-12 dataset, better downscaling results are obtained for days when there was no PPT due to regional biases in the remotely sensed PPT from the NASA Tropical Measurement Mission. The RMSDs were lower when <italic>in-situ</italic> PPT data were used.
Bullying, adverse childhood experiences and use of texting to promote behavior change

Purpose of reviewThis article addresses three areas in which new research demonstrates the potential to impact the health of children and adolescents: bullying, adverse childhood experiences (ACEs) and texting to promote behavior change. Recent findingsRecent research on bullying emphasizes its impact on children with chronic medical conditions, and highlights cyber bullying as a rising issue. ACEs are now recognized as risk factors for many health issues, particularly mental health problems. Text messaging is a promising new method to communicate with parents and adolescent patients. SummaryPediatric healthcare providers can help patients with chronic medical problems by addressing bullying at well child visits. Screening for ACEs may identify children at risk for mental health issues. Incorporating text messaging into clinical practice can improve disease management and patient education.
On-line power system security analysis

A broad overview of on-line power system security analysis is provided, with the intent of identifying areas needing additional research and development. Current approaches to state estimation are reviewed and areas needing improvement, such as external system modeling, are discussed. On-line contingency selection has become practical, particularly for static security. Additional work is necessary to identify better indices of power system stress to be used in on-line screening filters for both static and dynamic security analysis. Use of optimal power flow schemes to recommend optimal preventive and corrective strategies is presented on a conceptual level. Techniques must be further developed to provide more practical contingency action plans, which include real-world operating considerations and use a reasonably small number of control actions. Techniques must be developed for costing operating variables which are not easily quantified in dollars. Soft or flexible constraints and time variables must be included in the preventive and corrective strategy formulation. Finally, the area of on-line transient and dynamic security analysis is presented. >
Performance characterization of pressure sensitive adhesive thermal interface materials

An issue often raised by engineers regarding thermal interface materials (TIM) is that vendor data do not match the results obtained from actual applications. Typical reasons for these issues may be vendor variations in testing, such as variances in test procedure and setup. This study compares vendor data from various vendors with results obtained from both realistic and ideal test conditions under consistent test method and uniform test conditions, in order to eliminate any inconsistencies in testing. This current work examines the performance of thermal pressure sensitive adhesive (PSA) TIMs, and compares the thermal performance of various materials from several vendors. For comparison to vendor data, testing is performed for flat and non-flat surfaces to examine the differences under ideal condition to that of more realistic in actual applications. The test process, results and observations are discussed.
Retinal and choroidal neovascularization

The unique vascular supply of the retina, the ability to visualize the vasculature in vivo, and the ability to selectively express genes in the retina make the retina an ideal model system to study molecular mechanisms of angiogenesis. In addition, this area of investigation has great clinical significance, because retinal and choroidal neovascularization are the most common causes of severe visual loss in developed countries and new treatments are needed. As a result, interest in ocular neovascularization is rapidly growing and there has been considerable recent progress. Use of genetically engineered mice in recently developed murine models provides a means to investigate the role of individual gene products in neovascularization in two distinct vascular beds, the retinal vasculature and the choroidal vasculature. It appears that angiogenesis in different vascular beds has common themes, but also has tissue‐specific aspects. This review summarizes recent progress in the field of ocular neovascularization and the prospects that it provides for the development of new treatments. J. Cell. Physiol. 184:301–310, 2000. © 2000 Wiley‐Liss, Inc.
Clasificación de Series: Máquinas de Vectores Soporte y Literales basados en Intervalos

En trabajos previos se ha presentado un sistema de clasificacion de series. Dicho metodo se apoya en el metodo de combinacion de clasificadores denominado boosting, utilizando clasificadores base muy simples, formados por unicamente un literal. Estos predicados se basan en intervalos temporales. Los clasificadores obtenidos son simplemente una combinacion lineal de literales. Por tanto, es natural el esperar alguna mejora en los resultados si los literales se combinan de modos mas complejos. En este trabajo se explora la posibilidad de utilizar los literales seleccionados mediante el metodo de boosting como nuevos atributos, y entonces utilizar el metodo SVM sobre estos meta-atributos. Los resultados experimentales demuestran la validez del metodo propuesto.
Extended Bag-Of-Words Formalism For Image Classification

Informacao visual, na forma de imagens e videos digitais, tornou-se tao onipresente em repositorios de dados, que nao pode mais ser considerada uma 'cidada de segunda classe', eclipsada por informacoes textuais. Neste cenario, a classificacao de imagens tornou-se uma tarefa critica. Em particular, a busca pela identificacao automatica de conceitos semânticos complexos, representados em imagens, tais como cenas ou objetos, tem motivado pesquisadores em diversas areas como, por exemplo, Recuperacao de Informacao, Visao Computacional, Processamento de Imagem e Inteligencia Artificial. No entanto, em contraste com os documentos de texto, cujas palavras apresentam conteudo semântico, imagens consistem de pixels que nao tem nenhuma informacao semântica por si so, tornando a tarefa muito dificil. O problema abordado nesta tese refere-se a representacao de imagens com base no seu conteudo visual. Objetiva-se a deteccao de conceitos em imagens e videos, por meio de uma nova representacao que enriquece o modelo saco de palavras visuais. Baseando-se na quantizacao de descritores locais discriminantes por um dicionario, e na agregacao desses descritores quantizados em um vetor unico, o modelo saco de palavras surgiu como uma das abordagens mais promissora para a classificacao de imagens. Nesta tese, e proposto BossaNova, uma nova representacao de imagens que preserva informacoes importantes sobre a distribuicao dos descritores locais em torno de cada palavra visual. Os resultados experimentais em diversas bases de classificacao de images, tais como ImageCLEF Photo Annotation, MIRFLICKR, PASCAL VOC e 15-Scenes, mostraram a vantagem da abordagem BossaNova quando comparada as tecnicas tradicionais, mesmo sem fazer uso de combinacoes complexas de diferentes descritores locais. Uma extensao da representacao BossaNova tambem foi estudada nesta tese. Trata-se da combinacao da abordagem BossaNova com uma outra representacao muito competitiva baseada nos vetores de Fisher. Os resultados consistemente alcancam outras representacoes no estado-da-arte em diversas bases de dados, demonstrando a complementaridade das duas abordagens. Este estudo resultou no segundo lugar, na competicao ImageCLEF 2012 Flickr Photo Annotation Task, dentre as 28 submissoes, na categoria de informacao visual. Ademais, a representacao BossaNova tambem foi avaliada na aplicacao real de deteccao de pornografia. Os resultados validaram, mais uma vez, a relevância da abordagem BossaNova em relacao as tecnicas tradicionais em uma aplicacao real
Honey constituents up-regulate detoxification and immunity genes in the western honey bee Apis mellifera

As a managed pollinator, the honey bee Apis mellifera is critical to the American agricultural enterprise. Recent colony losses have thus raised concerns; possible explanations for bee decline include nutritional deficiencies and exposures to pesticides and pathogens. We determined that constituents found in honey, including p-coumaric acid, pinocembrin, and pinobanksin 5-methyl ether, specifically induce detoxification genes. These inducers are primarily found not in nectar but in pollen in the case of p-coumaric acid (a monomer of sporopollenin, the principal constituent of pollen cell walls) and propolis, a resinous material gathered and processed by bees to line wax cells. RNA-seq analysis (massively parallel RNA sequencing) revealed that p-coumaric acid specifically up-regulates all classes of detoxification genes as well as select antimicrobial peptide genes. This up-regulation has functional significance in that that adding p-coumaric acid to a diet of sucrose increases midgut metabolism of coumaphos, a widely used in-hive acaricide, by ∼60%. As a major component of pollen grains, p-coumaric acid is ubiquitous in the natural diet of honey bees and may function as a nutraceutical regulating immune and detoxification processes. The widespread apicultural use of honey substitutes, including high-fructose corn syrup, may thus compromise the ability of honey bees to cope with pesticides and pathogens and contribute to colony losses.
Prognostic values of tumor endothelial markers in patients with colorectal cancer.

AIM Tumor endothelial markers (TEMs) are a newly discovered family of endothelial markers associated with tumor specific angiogenesis. This study sought to examine the levels of expression (qualitatively and quantitatively) for TEMs in human colon cancer. METHODS Human colorectal cancer tissues (n = 48) and normal background tissues (n = 31) were obtained after surgery. RNA was extracted from frozen sections for gene amplification. The expression of TEMs (TEM-1 to TEM-8) was assessed using RT-PCR and their transcript levels were determined using real-time-quantitative PCR (Q-RT-PCR). RESULTS TEM-1 (P = 0.01), TEM-7 (P = 0.04), TEM-7R (P = 0.03), TEM-8 (P = 0.001) significantly raised in colon cancer tissues compared with the levels detected in normal background tissues. The expressions of TEM-2 and TEM-6 were found to be not significantly different between tumor tissues and normal tissues (P > 0.05). Patients who had cancer penetrating into and through the muscularis propria of the bowel wall and developed nodal involvement (Dukes C) exhibited significantly higher levels of TEM -8 compared to patients who were node negative (P < 0.05). TEM-7 and TEM-7R showed high level of transcripts in Dukes C, but they were not statistically significant. CONCLUSION The level of the expression of TEM-1, TEM-7, TEM-7R and TEM-8 (but not TEM-2 and TEM-6) were associated with both nodal involvement and disease progression, and may therefore, have a prognostic value in colorectal cancer.
Sensitivity Analysis for Simulations via Likelihood Ratios

We present a simple method of estimating the sensitivity of quantities obtained from simulation with respect to a class of parameters. Here sensitivity means the derivative of an expectation with respect to a parameter. The class of parameters includes, for example, Poisson rates, discrete probabilities, and the mean and variance of a Normal distribution. The method is extremely well suited to regenerative simulation, and can be implemented on extant simulations with little effort, increase in running time, or memory requirements. It is based on some change-of-measure formulas derived from likelihood ratios. In addition to the theorems that underly the technique, we present some numerical examples.
ExploreNEOs. III. PHYSICAL CHARACTERIZATION OF 65 POTENTIAL SPACECRAFT TARGET ASTEROIDS

Space missions to near-Earth objects (NEOs) are being planned at all major space agencies, and recently a manned mission to an NEO was announced as a NASA goal. Efforts to find and select suitable targets (plus backup targets) are severely hampered by our lack of knowledge of the physical properties of dynamically favorable NEOs. In particular, current mission scenarios tend to favor primitive low-albedo objects. For the vast majority of NEOs, the albedo is unknown. Here we report new constraints on the size and albedo of 65 NEOs with rendezvous Δv <7 km s−1. Our results are based on thermal-IR flux data obtained in the framework of our ongoing (2009–2011) ExploreNEOs survey using NASA's “Warm-Spitzer” space telescope. As of 2010 July 14, we have results for 293 objects in hand (including the 65 low-Δv NEOs presented here); before the end of 2011, we expect to have measured the size and albedo of ∼700 NEOs (including probably ∼160 low-Δv NEOs). While there are reasons to believe that primitive volatile-rich materials are universally low in albedo, the converse need not be true: the orbital evolution of some dark objects likely has caused them to lose their volatiles by coming too close to the Sun. For all our targets, we give the closest perihelion distance they are likely to have reached (using orbital integrations from Marchi et al. 2009) and corresponding upper limits on the past surface temperature. Low-Δv objects for which both albedo and thermal history may suggest a primitive composition include (162998) 2001 SK162, (68372) 2001 PM9, and (100085) 1992 UY4.
Model-based Stochastic Inversion of Coil Impedance for Determination of Tube Inner Radius and Electromagnetic Properties

We present a stochastic formulation of the inverse problem o f determination of the inner radius and electromagnetic properties of metal tubes from the measured coil imped ance. The inversion procedure is based on the Monte Carlo Markov chain method and the analytical impedance mode l developed and validated in our previous work. The impedance measurement uncertainty is included as the pr ior probability distribution. We use the MetropolisHasting algorithm to sample the posterior probability dist ributions of the tube properties. We illustrate the method using simulated measurement data sets. We corroborated fro m the simulation results that the requirements on electronic instrumentation and impedance measurement corresp ond to the targeted accuracy and precision of the tube inner radius.
The Market-Timing Ability of Chinese Equity Securities Investment Funds

This study examines the market-timing performance of Chinese equity securities investment funds during the period from May 2003 to May 2014 using the parametric tests of Treynor–Mazuy and Henriksson–Merton as well as the Jiang non-parametric test. Based on the non-parametric approach, the study finds that only one fund among the sample of 419 funds possessed statistically significant market-timing skill, while 9% of the funds were statistically significant negative market timers. Most funds do not time the market. This conclusion is robust when controlling for publicly available information in evaluating ‘private’ timing ability. Consistent with studies of other markets such as the UK, a higher prevalence of successful market timers is found by the Treynor–Mazuy and Henriksson–Merton methods compared to the non-parametric procedure.
Population pharmacokinetics of ceftriaxone in critically ill septic patients: a reappraisal.

AIMS To investigate the population pharmacokinetics of ceftriaxone in critically ill patients suffering from sepsis, severe sepsis or septic shock. METHODS Blood samples were collected at preselected times in 54 adult patients suffering from sepsis, severe sepsis or septic shock in order to determine ceftriaxone concentrations using high-performance liquid chromatography-ultraviolet detection. The pharmacokinetics of ceftriaxone were assessed on two separate occasions for each patient: on the second day of ceftriaxone therapy and 48 h after catecholamine withdrawal in patients with septic shock, or on the fifth day in patients with sepsis. The population pharmacokinetics of ceftriaxone were studied using nonlinear mixed effects modelling. RESULTS The population estimates (interindividual variability; coefficient of variation) for ceftriaxone pharmacokinetics were: a clearance of 0.88 l h(-1) (49%), a mean half-life of 9.6 h (range 0.83-28.6 h) and a total volume of distribution of 19.5 l (range 6.48-35.2 l). The total volume of distribution was higher than that generally found in healthy individuals and increased with the severity of sepsis. However, the only covariate influencing the ceftriaxone pharmacokinetics was creatinine clearance. Dosage simulations showed that the risk of ceftriaxone concentrations dropping below the minimum inhibitory concentration threshold was low. CONCLUSIONS Despite the wide interpatient variability of ceftriaxone pharmacokinetic parameters, our results revealed that increasing the ceftriaxone dosage when treating critically ill patients is unnecessary. The risk of ceftriaxone concentrations dropping below the minimum inhibitory concentration threshold is limited to patients with high glomerular filtration rates or infections with high minimum inhibitory concentration pathogens (>1 mg l(-1)).