Miracle-dz/UniFAR-FTUs huggingface dataset:
Induction of Glucocorticoid-induced Leucine Zipper (GILZ) Contributes to Anti-inflammatory Effects of the Natural Product Curcumin in Macrophages*

GILZ (glucocorticoid-induced leucine zipper) is inducible by glucocorticoids and plays a key role in their mode of action. GILZ attenuates inflammation mainly by inhibition of NF-κB and mitogen-activated protein kinase activation but does not seem to be involved in the severe side effects observed after glucocorticoid treatment. Therefore, GILZ might be a promising target for new therapeutic approaches. The present work focuses on the natural product curcumin, which has previously been reported to inhibit NF-κB. GILZ was inducible by curcumin in macrophage cell lines, primary human monocyte-derived macrophages, and murine bone marrow-derived macrophages. The up-regulation of GILZ was neither associated with glucocorticoid receptor activation nor with transcriptional induction or mRNA or protein stabilization but was a result of enhanced translation. Because the GILZ 3′-UTR contains AU-rich elements (AREs), we analyzed the role of the mRNA-binding protein HuR, which has been shown to promote the translation of ARE-containing mRNAs. Our results suggest that curcumin treatment induces HuR expression. An RNA immunoprecipitation assay confirmed that HuR can bind GILZ mRNA. In accordance, HuR overexpression led to increased GILZ protein levels but had no effect on GILZ mRNA expression. Our data employing siRNA in LPS-activated RAW264.7 macrophages show that curcumin facilitates its anti-inflammatory action by induction of GILZ in macrophages. Experiments with LPS-activated bone marrow-derived macrophages from wild-type and GILZ knock-out mice demonstrated that curcumin inhibits the activity of inflammatory regulators, such as NF-κB or ERK, and subsequent TNF-α production via GILZ. In summary, our data indicate that HuR-dependent GILZ induction contributes to the anti-inflammatory properties of curcumin.
Impact of species and subgenotypes of bovine viral diarrhea virus on control by vaccination

Abstract Bovine viral diarrhea viruses (BVDV) are diverse genetically and antigenically. This diversity impacts both diagnostic testing and vaccination. In North America, there are two BVDV species, 1 and 2 with 3 subgentoypes, BVDV1a, BVDV1b and BVDV2a. Initially, US vaccines contained BVDV1a cytopathic strains. With the reporting of BVDV2 severe disease in Canada and the USA there was focus on protection by BVDV1a vaccines on BVDV2 disease. There was also emphasis of controlling persistently infected (PI) cattle resulted in studies for fetal protection afforded by BVDV1a vaccines. Initially, studies indicated that some BVDV1a vaccines gave less than 100% protection against BVDV2 challenge for fetal infection. Eventually vaccines in North America added BVDV2a to modified live virus (MLV) and killed BVDV1a vaccines. Ideally, vaccines should stimulate complete immunity providing 100% protection against disease, viremias, shedding, and 100% fetal protection in vaccinates when challenged with a range of diverse antigenic viruses (subgenotypes). There should be a long duration of immunity stimulated by vaccines, especially for fetal protection. MLV vaccines should be safe when given according to the label and free of other pathogens. While vaccines have now included BVDV1a and BVDV2a, with the discovery of the predominate subgenotype of BVDV in the USA to be BVDV1b, approximately 75% or greater in prevalence, protection in acute challenge and fetal protection studies became more apparent for BVDV1b. Thus many published studies examined protection by BVDV1a and BVDV2a vaccines against BVDV1b in acute challenge and fetal protection studies. There are no current BVDV1b vaccines in the USA. There are now more regulations on BVDV reproductive effects by the USDA Center for Veterinary Biologics (CVB) regarding label claims for protection against abortion, PI calves, and fetal infections, including expectations for studies regarding those claims. Also, the USDA CVB has a memorandum providing the guidance for exemption of the warning label statement against the use of the MLV BVDV in pregnant cows and calves nursing pregnant cows. In reviews of published studies in the USA, the results of acute challenge and fetal protection studies are described, including subgenotypes in vaccines and challenge strains and the results in vaccinates and the vaccinates' fetuses/newborns. In general, vaccines provide protection against heterologous strains, ranging from 100% to partial but statistically significant protection. In recent studies, the duration of immunity afforded by vaccines was investigated and reported. Issues of contamination remain, especially since fetal bovine serums may be contaminated with noncytopathic BVDV. In addition, the potential for immunosuppression by MLV vaccines exists, and new vaccines will be assessed in the future to prove those MLV components are not immunosuppressive by experimental studies. As new subgenotypes are found, the efficacy of the current vaccines should be evaluated for these new strains.
A learning scheme for dynamic neural networks: equilibrium manifold and connective stability

Stability of the Hopfield neural network N:x/spl dot//sub i/=-x/sub i/+/spl Sigma//sub j=1//sup n/e/sub ij/w/sub ij/g/sub j/(x/sub j/)+I/sub i/, i=1, 2, . , n y/sub i/=g/sub i/(x/sub i/) with a learning rule L:e/spl dot//sub ij/=/spl mu/h/sub ij/(e, y, y*), i, j=1, 2, . , n is analyzed using the concept of equilibrium manifold. We show that the concept provides an ideal setting for the formulation of a learning rule L that adaptively teaches network N to acquire y* as one of its asymptotically stable equilibria. Connective stability of a moving equilibrium in the composite two-time-scale system N&L, is established for bounded interconnection weights e/sub ij/w/sub ij/ and a sufficiently small learning rate /spl mu/. The conditions for connective stability, which are derived using the M-matrices and the concept of vector Lyapunov functions, are suitable for studying the design trade-offs between the bounds on the nominal weights w/sub ij/, the shape of the sigmoid-function g/sub i/(x/sub i/), the learning rate /spl mu/, and the size of the stability region containing y*. <<ETX>>
Fan-Out Chip on Substrate Device Interconnection Reliability Analysis

Fan-Out (FO) chip on substrate is one of the fan-out solution for package integration. This solution brings the short interconnection between die to die for excellent electrical performance. Fan-Out chip on substrate device provides excellent electrical performance in multi-die connection,. The multiple re-distribution layer (RDL) processing is implemented in advance multi-dies FO chip on substrate device for die to die connection meeting higher density electronic connection need. And for complex function request, the area of side-by-side silicon dies size are very close to FO multi-dies chip size, there is narrow die gap between these side-by-side dies. A large coefficient of thermal expansion (CTE) mismatch between epoxy molding compound (EMC) and silicon dies is a significant contributor to the origin of warpage, and will lead to high thermal-mechanical strain and stress at narrow area of side-by-side die gap. The redistribution layer could be high stress risk site by the high thermal-mechanical stress on narrow side-by-side dies gap area. This study is to build a fan-out chip on substrate package numerical simulation model by finite element method (FEM) and get good warpage and thermal-mechanical strain correlation between simulation and real package measurement result by advance Metrology Analyzer (aMA) system. Then we used this equivalent numerical model to compare the thermal-mechanical performance for different redistribution layer pattern design. Finally, generalizing the redistribution layer pattern design guideline and to enhance the package level reliability performance, especially under temperature cycling test (TCT) condition, of fan-out chip on substrate package. The new redistribution layer pattern layout can pass 1000 temperature cycling test cycles and there is lower stress risk on redistribution layer.
Insertion of unique sites into YAC arms for rapid physical analysis following YAC transfer into mammalian cells.

The transfer of YACs into mammalian cells has proved to be a valuable approach towards functional analysis of large genetic loci (1). One of the major drawbacks to the use of this technique is the need to verify the integrity of the YAC after insertion into a mammalian chromosome. Such verification usually involves extensive mapping of the YAC before and after transfer, and is especially time-consuming where the DNA is reintroduced into a cell of the same species. To facilitate such analysis we have constructed plasmids which retrofit the vector arms of YACs, allowing insertion of sites for the rare cutter endonuclease I-PpoI along with the neomycin resistance gene which enables selection for the YACs presence following transfer into mammalian cells. I-PpoI recognises a 15 bp sequence which is present in the rDNA of many species but which, according to calculations, should be extremely rare elsewhere (2). Since there is a high probability of the site being absent from YAC inserts, insertion of such sites into YAC arms should allow verification of the integrity of the transferred YAC by a simple digestion followed by hybridisation with a single probe. The plasmids are designed to replace existing selection markers on the YAC arms instead of simply adding new ones. This makes identification of transformants easier, as transformants with the correct phenotype are almost certain to have integrated the plasmid into the YAC arm. Furthermore, the highly effective URA3 marker gene is absent from the final modified YAC, allowing its use for further modification of the YAC insert where a high efficiency of transformation is required.
Investigating Organizational Adoption of Big Data Analytics (BDA) Technology

Big Data Analytics (BDA), an emerging technology that can provide strategic, operational and other advantages is yet to see significant rates of adoption in the organizations across the industries. Since recent IS research lack focus about this technology and the determinants that impact its organizational adoption, present study has developed and validated a research model to examine the contextual factors that influence BDA adoption drawing upon diffusion of innovation (DoI) theory, institutional theory, and Technology-Organization-Environment (TOE) framework. Data collected from 71 organizations is tested and the results and implications contribute to understanding of the determinants affecting BDA adoption.
Development of the Device-Oriented Subjective Outcome (DOSO) scale.

BACKGROUND The empiric basis for this work is derived from previous research completed in our laboratory and published in 2005 and 2007. The previous work suggested that self-report hearing aid outcomes can be viewed as device oriented or wearer oriented. Furthermore, compared with wearer-oriented outcomes, device-oriented outcomes were more independent of personality variables. PURPOSE The purpose of this study was to develop a device-oriented questionnaire to measure self-report hearing aid outcomes. RESEARCH DESIGN Design was a descriptive study in which 140 potential questionnaire items were evaluated and a questionnaire was devised. STUDY SAMPLE A total of 306 adult hearing aid wearers participated: 189 were clinical patients and 117 were participants in hearing aid field trials. DATA COLLECTION AND ANALYSIS Some items and some participants were removed because of insufficient responses. The final dataset included 295 participants and 66 items. Response data were subjected to exploratory principal component analysis with orthogonal rotation. Six components, explaining 64% of the variance, were retained. Item statistics were examined. RESULTS Six subscales were identified. Long and short forms of the questionnaire were developed. There are two equivalent versions of the short form. CONCLUSIONS The Device-Oriented Subjective Outcome (DOSO) questionnaire is suitable for quantifying subjective hearing aid outcomes in both research and clinical settings. The DOSO is especially suited for comparing outcomes with different hearing aids. Future research is needed to cross-validate the results, determine retest consistency, and to explore the extent to which data from the DOSO is independent of personality.
Micronuclear and Macronuclear Sequences of a Euplotes crassus Gene Encoding a Putative Nuclear Protein Kinase

The sequences of a 1.8‐kbp macronuclear DNA molecule (V3), and the majority of its micronuclear counterpart, are reported. The macronuclear V3 DNA molecule contains an open reading frame that is interrupted by a single intron, while the micronuclear copy is interrupted by four internal eliminated sequences, one of which is located within the intron. The predicted protein product of the macronuclear V3 gene is a 471‐amino acid polypeptide that is very similar to a group of protein‐serine/threonine kinases from both plant and animal species, some of whose members appear to be involved in cell cycle or growth control.
Stem Cell Research

Stem cells have great potential in basic research and are being slowly integrated into toxicological research. This symposium provided an overview of the state of the field, stem cell models, described allogenic stem cell treatments and issues of immunogenicity associated with protein therapeutics, and tehn concentrated on stem cell uses in regenerative medicine focusing on lung and testing strategies on engineered tissues from a pathologist’s perspective.
El efecto de genes candidato sobre la expresión de la actividad migratoria en currucas capirotadas ("Sylvia atracapilla") de la Península Ibérica

La migracion es un aspecto fundamental en la vida de muchos animales de todo tipo de taxones. Se ha establecido que las diferencias geneticas son la mayor causa en las variaciones en la expresion del comportamiento migratorio, pero nuestro conocimiento sobre las bases moleculares es aun limitado. En esta tesis, trato de explorar en mayor detalle el alcance de los genes que afectan al comportamiento migratorio. Diversos estudios realizados en un amplio rango de especies y taxones han permitido encontrar diversos genes que afectan a distintos aspectos del comportamiento migratorio. En este trabajo, compruebo la asociacion entre varios genes candidatos y el comportamiento migratorio bajo diversas condiciones, con el objetivo de determinar si los efectos geneticos son consistentes entre poblaciones, entre rasgos migratorios y entre condiciones ambientales. Para ello, he utilizado una especie de ave que previamente habia sido empleada como modelo para estudios migratorios: la curruca capirotada (Sylvia atricapilla, Linneaus 1758). En la Peninsula Iberica, esta especie tiene poblaciones con todas las posibles estrategias migratorias: pueden ser residentes, migradores parciales o migradores completos. El poseer este rango de comportamientos en la misma especie, en una escala geografica pequena, lo convierte en un modelo muy interesante para estudiar los efectos de los genes en el comportamiento migratorio; de esta manera se elimina el ruido de estudios comparativos entre especies, ademas de permitir minimizar otros posibles factores de confusion tipicos de los estudios a gran escala, como, por ejemplo, la variacion geografica debido al flujo de genes o patrones de diferenciacion que son debidos a la historia de colonizacion. He investigado la posible asociacion entre genes y el comportamiento migratorio utilizando un grupo de genes candidatos, tres de los cuales estan relacionados con los ritmos circadianos (CLOCK, ADCYAP1 y NPAS2) y uno relacionado con el comportamiento de evitacion del dano (SERT). He comprobado la asociacion entre estos genes y la migracion en tres grupos diferentes de muestras, asi cubriendo distintos niveles (poblacionales e individuales) y diferentes componentes del comportamiento migratorio: (a) Muestras recogidas en el campo en 21 poblaciones ibericas. El caracter migratorio de cada poblacion fue establecido usando medidas del ala y datos de presencia o ausencia en invierno. (b) Capturando individuos de 3 poblaciones con diferencias marcadas en su comportamiento migratorio. Los individuos se mantuvieron en jaulas, donde se midio su actividad migradora (zugunruhe) en un ambiente controlado. (c) Individuos de una poblacion parcialmente migradora fueron estudiados en el campo. La estrategia migratoria de cada individuo fue determinada mediante anillamiento y datos observacionales sobre su presencia o ausencia en el area.
Analysis of a multiple-porosity model for single-phase flow through naturally fractured porous media

A derivation of a multiple-porosity model for the flow of a single phase, slightly compressible fluid in a multiscale, naturally fractured reservoir is presented by means of recursive use of homagnetization theory. We obtain a model which generalizes the double-porosity model of Arbogast et al. (1990) to a flow system with an arbitrary finite number of scales.
Fault Isolation Based on k-Nearest Neighbor Rule for Industrial Processes

Recently, the well-known k-nearest neighbor (kNN) rule has been successfully applied to the fault detection of industrial processes with nonlinear, multimode, and non-Gaussian distributed data. Once a fault is detected, how to investigate the root causes of the fault by isolating the true faulty variables without any historical fault information is a challenging problem. Inspired by the idea of the contribution analysis (CA) methods developed in the frame of the principal component analysis (PCA), in this paper, a novel isolation index will be provided by decomposing the kNN distance used as the detection index in kNN-based fault detection method. The commonly used CA-based isolation methods suffer from smearing effect due to the correlation among the defined isolation indices, thus prone to misdiagnosis. The proposed isolation index is defined in the original measurement space without correlation. Moreover, theoretical analysis of the isolability for the proposed fault isolation method shows that it can isolate multiple sensor faults under a less strict condition than that used in the analysis of those CA-based fault isolation methods. The numerical examples and Tennessee Eastman (TE) benchmark process are used to illustrate the effectiveness of the proposed method.
A new content-based medical image retrieval system based on wavelet transform and multidimensional Wald-Wolfowitz runs test

Recently, one of the authors proposed a new similarity measure, called weighted multidimensional Wald and Wolfowitz (MWW) runs test, for the content-based color image retrieval system. The algorithm outperforms conventional similarity measures for comparing two color images. In this paper, we propose a new content-based medical image retrieval system based on discrete wavelet transform (DWT) symlet and the weighted MWW runs test. The DWT is used to extracted texture features of the medical images. The weighted MWW runs test is used to compare distributions of texture features of two medical images. Our experiments were performed on 1,000 medical images from image retrieval in medical applications (IRMA). The experimental results show promisingly efficient to retrieve the medical images.
Watch Where You re Going! - Pedestrian Tracking Via Head Pose

In this paper we improve pedestrian tracking using robust, real-time human head pose estimation in low resolution RGB data without any smoothing motion priors such as direction of motion. This paper presents four principal novelties. First, we train a deep convolutional neural network (CNN) for head pose classification with data from various sources ranging from high to low resolution. Second, this classification network is then fine-tuned on the continuous head pose manifold for regression based on a subset of the data. Third, we attain state-of-art performance on public low resolution surveillance datasets. Finally, we present improved tracking results using a Kalman filter based intentional tracker. The tracker fuses the instantaneous head pose information in the motion model to improve tracking based on predicted future location. Our implementation computes head pose for a head image in 1.2 milliseconds on commercial hardware, making it real-time and
Complex-coordinate calculation of 1,3D resonances in two-electron systems.

Feshbach-type $^{1,3}$D resonances in two-electron systems, Z=2\char21{}10, have been investigated using the method of complex rotation. These states lie below the n=2 and 3 thresholds of hydrogenic systems. Wave functions containing up to 1230 Hylleraas functions have been used, giving accurate results for positions and widths. Comparisons between various calculations are given.
Reproductive Success of the American Oystercatcher (Haematopus palliatus) in Texas

Abstract. The American Oystercatcher (Haematopus palliatus) is listed as a Species of High Concern in the United States Shorebird Conservation Plan due to a small population size and threats during its annual cycle. Previous studies of the American Oystercatcher have focused on Atlantic Coast populations; however, little is known about the reproductive success of the western Gulf Coast population. The objective of this study was to determine nest and brood survival of American Oystercatchers in Texas. A total of 337 nests and 121 broods were monitored on the Texas Gulf Coast during 2011–2013. The top model for nest survival in Program MARK included a linear decline in survival across the nesting season and as nests aged. Survival also declined as island size and foraging habitat near the nest site increased. The probability of a nest surviving from mean initiation date to hatching was 0.384 (95% CI = 0.317, 0.451). The top model for brood survival included a linear decline in survival across the season and an increase in survival as broods aged. Brood survival also varied among years and coastal region. The probability of a brood surviving from mean hatch date to 35 days after hatch ranged from 0.397 (95% CI = 0.204, 0.578) in 2013 to 0.887 (95% CI = 0.673, 0.964) in 2011 across all regions. Known causes of nest and brood loss included beach overwash, depredation, and starvation. This study provides the first estimates of nest and brood survival of the American Oystercatcher along the western Gulf Coast. The additional insight into patterns of nest and brood survival in this species will be useful for future conservation planning efforts that target breeding American Oystercatchers.
A sentiment-change-driven event discovery system

We present a system that automatically discovers important events that have significantly driven people's sentiment changes towards a target using Twitter data (i.e. tweets). This system can also provide the time, importance, and description of events that are associated with people's sentiment changes. In this system, a sentiment classifier is used as the sensor to detect the time points of those changes. It is also used as the filter to effectively eliminate a considerable amount of noisy information and select the most informative tweets to be further analyzed for event descriptions. Discovered events are described from the following aspects, 1) the most important tweets ranked by tweet-based TextRank algorithm, 2) the topics generated by the nonnegative matrix factorization, and 3) the most important keywords generated by word-based TextRank algorithm. Compared with traditional event discovery techniques, the experimental results show that this system can effectively discover important patterns from tweets and unveil 3Ws of an event (i.e. what happens, when it happens, what its effect is), which provides good reference on understanding behavior changes and making strageties. Furthermore, the system was applied to analyze people's sentiment changes towards the two candidates during the 2016 U.S. presidential election. It can also be applied in other scenarios where people's attitude plays an important role like the brand influence marketing and financial investment markets.