Miracle-dz/UniFAR-FTUs huggingface dataset:
Poly ( ADP-ribose ) polymerase 1 binds to Pax 8 and inhibits its transcriptional activity

Pax8 is a transcription factor that plays an important role in the regulation of genes that are exclusively expressed in differentiated thyroid cells. In the thyroid cell environment, evidence exists that Pax8 is part of a multiprotein complex in which its transcriptional activity may be modulated by specific co-factors. In an attempt to identify proteins that interact with Pax8, we performed pull-down experiments challenging the GST–Pax8 fusion protein with protein extracts prepared from the thyroid differentiated cell line PC Cl3. By this approach, we isolated a 113-kDa protein that is able to associate with Pax8, which was further identified by mass fingerprint experiments as poly(ADP-ribose) polymerase 1 (PARP1). To further confirm this interaction, we also showed that PARP1 can be co-immunoprecipitated with Pax8 in vivo from a thyroid cell extract. Gel shifts experiments demonstrated that PARP1 binding to Pax8 significantly inhibits Pax8 binding to DNA. Accordingly, we provide evidence that the functional outcome of such an interaction is a significant downregulation of Pax8 transcriptional activity. In the context of thyroid-specific gene transcription, our results suggest that PARP1 behaves as an important negative co-factor involved in the regulation of Pax8-dependent gene expression. Journal of Molecular Endocrinology (2008) 41, 379–388
The Impact of Water Stress and Salinity on Water Requirement and Crop Coefficient of Greenhouse Bell Pepper

Given the importance of greenhouse cultivation, accurate and precise estimates of water requirement of greenhouse crops in order to have a good and effective management of irrigation in controlled conditions is inevitable. This study has also done with the purpose to identify the impact of deficit irrigation tension and salinity on water requirement and crop coefficient of greenhouse bell pepper during the winter and spring of 2013-2014 in the experimental greenhouse located in Ferdowsi University of Mashhad. Soil moisture has been measured at a depth of 10 cm of the pot by using REC-P55 sensors. The results of the present study has shown that evapotranspiration rate, soil moisture and irrigation water consumption have been reduced by increasing salinity and reducing irrigation water. Potential evapotranspiration amounts were almost constant during growth period. The dual crop coefficient values were calculated at different periods of growth for applied treatments in this study by examining the changes process of crop coefficient. Results show that crop coefficient value is decreased by increasing salinity and shortage of irrigation water. Results evaluation has shown that it is needed the coefficients related to the plant be estimated and planning irrigation carried on based on the situation in order to determine the water requirement. If applying tension (deficit irrigation / salinity), it is better the dual crop coefficient used instead of using a single crop coefficient to increase planning accuracy to determine the water requirement.
Indonesia Macro Economy Stability Pattern Prediction (Mundell-Flamming Model)

This study examines whether economic stability in Indonesia capable predicted by the model Mundell-Fleming. Prediction proxy stability of the interaction of fiscal and monetary policy. During Indonesia's economic stability is largely determined by the strength of economic fundamentals, while economic fundamentals are strongly influenced by fiscal and monetary policies. Therefore flemming Mundell predicts how strong the economic stability in Indonesia ? , the statement in the analysis by using a long-term predictions are Vector Autoregression. Research findings indicate patterns of interaction predictions variety of fiscal and monetary policy, both short term, medium term and long term. It turned out that fiscal policies are derived from taxes are more effective than government spending to control economic growth, investment and inflation, but government spending is more effective to control the exchange rate. The monetary policy of interest rates more effectively control the exchange rate and inflation, while the money supply is more effective in controlling the growth of economy and investment. Keyword:Mundell-Fleming, Macroeconomic Stability, Fiscal Policy, Monetary Policy.
SOME SOLUTIONS FOR STATIC AND PSEUDO-STATIC DEFORMATION IN LAYERED, NONISOTHERMAL, POROUS MEDIA

Solution methods for a variety of problems in layered, nonisothermal media are developed. Deformation, stress, and temperature fields, induced when internal sources of strain and heat are embedded in linear elastic and linear fluid infiltrated poroelastic media, are calculated. Since in the limit considered, the energy equation is decoupled from the equation of momentum balance, the solution techniques are easily extended to the case of a time-dependent source for heat supply. The solutions are generated using standard propagator matrix techniques and are given in the form of Fourier-Bessel integrals. By integrating the response functions over an appropriate surface or source volume, the deformation, stress, and temperature fields for both solid and fluid phases can be derived for finite source regions.
Ancillary vegetation measurements at ICOS ecosystem stations

Abstract The Integrated Carbon Observation System is a Pan-European distributed research infrastructure that has as its main goal to monitor the greenhouse gas balance of Europe. The ecosystem component of Integrated Carbon Observation System consists of a multitude of stations where the net greenhouse gas exchange is monitored continuously by eddy covariance measurements while, in addition many other measurements are carried out that are a key to an understanding of the greenhouse gas balance. Amongst them are the continuous meteorological measurements and a set of non-continuous measurements related to vegetation. The latter include Green Area Index, aboveground biomass and litter biomass. The standardized methodology that is used at the Integrated Carbon Observation System ecosystem stations to monitor these vegetation related variables differs between the ecosystem types that are represented within the network, whereby in this paper we focus on forests, grasslands, croplands and mires. For each of the variables and ecosystems a spatial and temporal sampling design was developed so that the variables can be monitored in a consistent way within the ICOS network. The standardisation of the methodology to collect Green Area Index, above ground biomass and litter biomass and the methods to evaluate the quality of the collected data ensures that all stations within the ICOS ecosystem network produce data sets with small and similar errors, which allows for inter-comparison comparisons across the Integrated Carbon Observation System ecosystem network.
Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital

We study the determinants of lifetime earnings (LE) inequality in the United States, for which differences in lifetime earnings growth are key. Using administrative data and focusing on the roles of job ladder dynamics and on-the-job learning, we document that:<br><br>1) lower LE workers change jobs more often, mainly driven by higher non-employment; <br><br>2) earnings growth for job stayers is similar at around 2 percent in the bottom two-thirds of the LE distribution, whereas for job switchers it rises with LE; and <br><br>3) top LE workers enjoy high earnings growth regardless of job switching. <br><br>We estimate a job ladder model with on-the-job learning featuring ex ante heterogeneity in learning ability and job ladder risk—job loss, job finding, and contact rates. We find that learning ability differences explain almost all earnings growth heterogeneity above the median, whereas ex ante heterogeneity in job ladder risk accounts for 80 percent of LE growth differences below the median.
A Neural Network with Convolutional Module and Residual Structure for Radar Target Recognition Based on High-Resolution Range Profile

In the conventional neural network, deep depth is required to achieve high accuracy of recognition. Additionally, the problem of saturation may be caused, wherein the recognition accuracy is down-regulated with the increase in the number of network layers. To tackle the mentioned problem, a neural network model is proposed incorporating a micro convolutional module and residual structure. Such a model exhibits few hyper-parameters, and can extended flexibly. In the meantime, to further enhance the separability of features, a novel loss function is proposed, integrating boundary constraints and center clustering. According to the experimental results with a simulated dataset of HRRP signals obtained from thirteen 3D CAD object models, the presented model is capable of achieving higher recognition accuracy and robustness than other common network structures.
Characterization of Predicted Infrasonic Phases For IS59, Hawaii

Abstract : The atmosphere is a dynamic and complex medium, and infrasonic waves traveling through this medium will be strongly affected by its properties. The wind field, temperature, and composition of the atmosphere up to heights of 150 km will determine how sound waves are propagated between a source and a receiver. We integrate acoustic wave propagation models, the Naval Research Laboratory (NRL) Horizontal Wind Model (HWM93), the NRL Mass Spectrometer and Incoherent Scatter (MSIS90) atmospheric model, and the United Kingdom Meteorological Office (UKMO) Correlative Analyses to investigate the effects of atmospheric variability on the types of infrasonic phases that may be observed at CTBT array IS59 in Hawaii. Array IS59 [Garces and Bass, 2000 (this issue)] started recording and archiving infrasonic data in May 25, 2000, and has recorded a variety of regional and distant events. We use the results of our theoretical and data assimilation work to characterize the response of IS59 so that it possible to associate and locate events using multiple arrays.
Global Banking Sector-Challenges and Solutions

Business administration is nothing but managing the business operations by taking opt decisions, for the optimum utilization of people and other resources in order to achieve set goals and objectives of the business. In general, administration includes finance, MIS and personnel services of the organization. Business management is a scientific body of knowledge, which plays a key role in the day to day administration to succeed in business endeavors.
Petrology of high Al hornblende- and magmatic epidote-bearing plutons in the southeastern Cape Breton Highlands, Nova Scotia

Six large late Precambrian plutons in the southeastern Cape Breton Highlands of Nova Scotia are composed dominantly of diorite, quartz diorite, tonalite, and granodiorite. Their petrochemical characteristics indicate that they are the plutonic equivalents of moderate- to high-K orogenic andesites, formed in a continental margin subduction zone. The occurrence of high-Al hornblende and magmatic epidote in the plutons in the northwest suggests that crusal levels of ca. 20 km are exposed in that area. Calculated pressures of hornblende crystallization decrease systematically to the southeast, indicating that granodiorites exposed in that sector crystallized in the epizone. The magmas may have formed by variable amounts of partial melting of mafic granulitic source-rocks, followed by fractionation of mafic minerals and some plagioclase, to produce the internal variation within each pluton.
Nonuniform exponential dichotomy for noninvertible evolution operators in Banach Spaces

The aim of this paper is to study two concepts of nonuniform exponential dichotomy and their correspondents for the case of uniform exponential dichotomy on the half-line in the general framework of evolution operators in Banach spaces. Characterizations of these concepts are obtained from the point of view of the families of projections. Some illustrative examples and counterexamples are given in order to prove that these dichotomy concepts are distinct. The first concept of exponential dichotomy is defined in the general case when the family of projections is only invariant for the evolution operator and hence the evolution operator is not invertible on the unstable manifold. Last but not least, an example which motivates the use of dichotomy with invariant families of projections for noninvertible evolution operators is presented.
Regional differences in mitral cell development in mouse olfactory bulb

Olfactory sensory neurons (OSNs) located in the dorsomedial and ventromedial regions of the olfactory epithelium (OE) are distinguished from one another based on their molecular expression patterns. This difference is reflected in the separation of the glomerular layer of the olfactory bulb (OB) into dorsomedial and ventrolateral regions. However, it is unclear whether a complementary separation is also evident in the projection neurons that innervate the OB glomeruli. In this study, we compared the development of the OB between different regions by focusing on the transcription factor, Tbx21, which is expressed by mitral and tufted cells in the mature OB. Examining the OB at different developmental ages, we found that Tbx21 expression commenced in the anteromedial region called the tongue‐shaped area, followed by the dorsomedial and then ventrolateral areas. We also showed that the tongue‐shaped area was innervated by the OSNs located in the most dorsomedial part of the ventrolateral OE, the V‐zone:DM. Interestingly, the generation of OSNs occurred first in the dorsomedial zone including the V‐zone:DM, suggesting a correlation between the time course of OSN generation in the OE and Tbx21 expression in their target region of the OB. In contrast, expression of vGluT1, which is also found in all mitral cells in the mature OB, was first detected in the ventrolateral region during development. Our findings demonstrate that the development of projection neurons occurs in a compartmentalized manner in the OB; tongue‐shaped, dorsomedial, and ventrolateral areas, and that not all projection neurons follow the same developmental pathway.
Modeling Neurodegenerative Spinocerebellar Ataxia Type 13 in Zebrafish Using a Purkinje Neuron Specific Tunable Coexpression System

Purkinje cells (PCs) are primarily affected in neurodegenerative spinocerebellar ataxias (SCAs). For generating animal models for SCAs, genetic regulatory elements specifically targeting PCs are required, thereby linking pathological molecular effects with impaired function and organismic behavior. Because cerebellar anatomy and function are evolutionary conserved, zebrafish represent an excellent model to study SCAs in vivo. We have isolated a 258 bp cross-species PC-specific enhancer element that can be used in a bidirectional manner for bioimaging of transgene-expressing PCs in zebrafish (both sexes) with variable copy numbers for tuning expression strength. Emerging ectopic expression at high copy numbers can be further eliminated by repurposing microRNA-mediated posttranslational mRNA regulation. Subsequently, we generated a transgenic SCA type 13 (SCA13) model, using a zebrafish-variant mimicking a human pathological SCA13R420H mutation, resulting in cell-autonomous progressive PC degeneration linked to cerebellum-driven eye-movement deficits as observed in SCA patients. This underscores that investigating PC-specific cerebellar neuropathologies in zebrafish allows for interconnecting bioimaging of disease mechanisms with behavioral analysis suitable for therapeutic compound testing. SIGNIFICANCE STATEMENT SCA13 patients carrying a KCNC3R420H allele have been shown to display mid-onset progressive cerebellar atrophy, but genetic modeling of SCA13 by expressing this pathogenic mutant in different animal models has not resulted in neuronal degeneration so far; likely because the transgene was expressed in heterologous cell types. We developed a genetic system for tunable PC-specific coexpression of several transgenes to manipulate and simultaneously monitor cerebellar PCs. We modeled a SCA13 zebrafish accessible for bioimaging to investigate disease progression, revealing robust PC degeneration, resulting in impaired eye movement. Our transgenic zebrafish mimicking both neuropathological and behavioral changes manifested in SCA-affected patients will be suitable for investigating causes of cerebellar diseases in vivo from the molecular to the behavioral level.
A Critical Role for Human Ventromedial Frontal Lobe in Value Comparison of Complex Objects Based on Attribute Configuration

In making decisions, we often choose from among options with multiple value-relevant attributes. Neuroeconomic models propose that the value associated with each attribute is integrated in a global value for each option. However, some evidence from patients with ventromedial frontal lobe (VMF) damage argues against a very general role for this region in value integration, suggesting instead that it contributes critically to a specific value inference or comparison process. Here, we tested value-based decision-making involving artificial multiattribute objects in humans with focal damage to the VMF (N = 12) compared with a healthy group matched for age and education (N = 24) and with a group with frontal lobe damage sparing the VMF (N = 12). In a “configural” condition, overall object value was predicted by the conjunction of two attributes, while in an “elemental” condition, object value could be assessed by combining the independent values of individual attributes. Patients with VMF damage were impaired in making choices when value was uniquely predicted by the configuration of attributes, but intact when choosing based on elemental attribute values. This is evidence that the VMF is critical for inferring the value of whole objects in a multiattribute choice. These findings have implications for models of value-based choice and add to emerging views of how this region may interact with medial temporal lobe systems involved in configural object processing and relational memory. SIGNIFICANCE STATEMENT Neuroeconomic models propose that the ventromedial frontal lobe (VMF) supports multiattribute decisions by integrating the values of attributes. However, researchers have been uncertain about the underlying mechanisms for this process. Patients with VMF damage made multiattribute choices under two conditions: in one, attribute values could be summed to guide choice; in the other, value was predicted by the conjunction of attributes. VMF damage impaired only the latter. This argues that the VMF is critical for inferring value from configural information to guide multiattribute object choice. This region may be key for judging the emergent “value of the forest,” rather than for integrating the individual “value of each tree. ”
Treatment of stage IIIA-N2 EGFR-mutant non-small cell lung adenocarcinoma.

Lung cancer remains the leading cause of death worldwide and is the most common cancer both in incidence and mortality (1.35 million deaths annually). Lobectomy, along with hilar and mediastinal lymph node dissection, is the standard surgical treatment for lung cancer. Roughly 20–25% of patients diagnosed with non-small cell lung cancer (NSCLC) are suitable for surgical resection with curative intent (1).
Robot Learning from Demonstration: A Review of Recent Advances

In the context of robotics and automation, learning from demonstrations (LfD) is the paradigm in which robots acquire new skills by learning to imitate an expert. The choice of LfD over other robot learning methods is compelling when ideal behavior can neither be easily scripted, as done in traditional robot programming, nor be easily de-ﬁned as an optimization problem, but can be demonstrated. While there have been multiple surveys of the ﬁeld in the past, there is a need for a new survey given the considerable growth in the number of publications in recent years. This survey aims at oﬀering an overview of the collection of machine learning methods used to enable a robot to learn from and imitate a teacher. We focus on recent advancements in the ﬁeld, as well as present an updated taxonomy and characterization of existing methods. We also discuss mature and emerging application areas for LfD, and highlight the signiﬁcant challenges that remain to be overcome both in theory and practice.
Change Detection Based Building Damage Assessment Method Using Radar Imageries with GLCM Textural Parameters

In this research paper, change detection based methods were considered to find collapsed and intact buildings using radar remote sensing data or radar imageries. Main task of this research paper is collection of most relevant scientific research in field of building damage assessment using radar remote sensing data. Several methods are selected and presented as best methods in present time, there are methods with using interferometric coherence, backscattering coefficients in different spatial resolution. In conclusion, methods are given in end, which show, which methods and radar remote sensing data give more accuracy and more available for building damage assessment. Low resolution Sentinel-1A/B radar remote sensing data are recomended as free available for monitoring of destruction degree in microdistrict level. Change detection and texture based method are used together to increase overall accuracy. Homogeneity and Dissimilarity GLCM texture parameters found as better for separation of a collapsed and intact buildings. Dual polarization (VV,VH) backscattering coefficients and coherence coefficients (before earthquake and coseismic) were fully utilized for this study. There were defined the better multi variable for supervised classification of none building, damaged and intact buildings features in urban areas. In this work, we were achieved overall accuracy 0.77, producer’s accuracy for none building is 0.84, for damaged building case 0.85, for intact building 0.64. Amatrice town was chosen as most damaged from 2016 Central Italy Earthquake.
Transforming Growth Factor-&bgr; Promotes Homing and Therapeutic Efficacy of Human Mesenchymal Stem Cells to Glioblastoma

Human mesenchymal stem cell-based tumor therapeutic gene delivery is regarded as a promising strategy for the treatment of glioblastoma (GBM). However, the efficiency of these stem cells to home to the target sites limits their potential curative effect and clinical application. In this work, we provide a novel pretreatment approach for enhancing the homing capacity of human adipose-derived mesenchymal stem cells (hAMSCs) for stem cell-based tumor gene delivery for GBM therapy. Pre-exposure of these stem cells to TGF-β resulted in enhanced homing ability to GBM through increasing CXC chemokine receptor 4 (CXCR4) expression, as evidenced by a diminishing homing capacity when inhibition of the TGF-β receptor II and CXCR4 was applied. In addition, by pretreating hAMSCs expression of tumor necrosis factor-related apoptosis-inducing ligand with TGF-β, we achieved significant enhancements in the therapeutic efficacy as demonstrated by an increased number of migrated hAMSCs to target sites, decreased tumor volume, and prolonged survival time in a murine model of GBM. These findings highlight a straightforward method in which cell preconditioning methodology is utilized to promote therapeutic efficacy of a biological treatment for GBM.