Miracle-dz/UniFAR-FTUs huggingface dataset:
Subjective Well‐Being and Peace

Hierarchical generalized linear modeling was employed to examine the relations between person-level subjective well-being (SWB) and peace-relevant attitudes, and how these relations vary across nations in the World Values Survey. Person-level SWB was associated with more confidence in the government and armed forces, greater emphasis on postmaterialist values, stronger support for democracy, less intolerance of immigrants and racial groups, and greater willingness to fight for one's country. These associations were moderated at the nation level by liberal development, violent inequality, gross domestic product, and nation-level SWB. The moderator effects indicate that happy people are not completely blind to the conditions of their society and that their endorsement of peace attitudes is sensitive to whether the conditions for peace do exist.
Suppression of vegetation in multispectral remote sensing images

Vegetation cover is an impediment to the interpretation of multispectral remote sensing images for geological applications, especially in densely vegetated terrains. In order to enhance the underlying geological information in such terrains, it is desirable to suppress the reflectance component of vegetation. This article adapts the forced invariance technique proposed by Crippen and Blom (2001) for the suppression of the vegetation reflectance component in a densely vegetated study area in northern Zhejiang province, eastern China. The approach uses a three-step process that comprises: (i) masking of barren or sparsely vegetated areas using a normalized difference vegetation index (NDVI) mask in order to retain their original spectral information through the subsequent processing; (ii) applying a forced invariance technique to subtract the spectral response of vegetation only in vegetated areas; and (iii) combining the processed vegetated areas with the masked barren or sparsely vegetated areas followed by a histogram equalization to eliminate the differences in colour scales between these two types of area. An evaluation based on comparison with the geological map shows that the forced invariance technique results in significant enhancement of the geological information in the processed image.
Geometrodynamics and Lorentz symmetry

We study the dynamics of gauge theory and general relativity using fields of local observers, thus maintaining local Lorentz symmetry despite a space/time splitting of fields. We start with Yang-Mills theory, where observer fields are defined as normalized future-timelike vector fields. We then define observers without a fixed geometry, and find these play two related roles in general relativity: splitting fields into spatial and temporal parts, and 'breaking' gauge symmetry, effectively reducing the spacetime SO(n, 1) connection to an observer-dependent spatial SO(n) connection. In both gauge theory and gravity, the observer field reduces the action to canonical form, without using gauge fixing. In the 4d gravity case, the result is a manifestly Lorentz covariant counterpart of the Ashtekar-Barbero formulation. We also explain how this leads geometrically to a picture of general relativity in terms of 'observer space' rather than spacetime – a setting where both spacetime symmetry and the dynamical description are simultaneously available.
Master Thesis: Interactive Signaling Network Analysis Tool

When researching kinase signaling pathways in cells, molecular biologists are confronted with large experimental data sets. Evaluation of these data sets, together with the fitting of these data on possible pathway models, is a highly nontrivial task. The aim of this research is to support biologists in exploring the space of networks inferred from experimental data by means of software that is both interactive and visual, thereby considerably alleviating this task. At the basis of the software lies a quantitative modeling technique that makes use of a computer science model called timed automata. Timed automata models can be created, simulated, and analyzed with UPPAAL, which is a state-of-the-art tool for analysis and design of real-time systems. Modeling a pathway with timed automata makes it possible to decide, using UPPAAL, whether experimental data fits a specific model, or whether such a model should somehow be updated. In order to hide the technical intricacies of timed automata and UPPAAL from the molecular biologist, a prototype interface tool has been built. This interface tool lets users draw a network and add experimental data to it, and then exports this information to a timed automata model to be verified by UPPAAL. Finally, the results from this verification process are translated back to the interface and presented in a graphical manner.
Modeling and sizing the coil in boost converters dedicated to photovoltaic sources

The coil is a very important element in a wide range of power electrical systems as such as those used in converter or inverter dedicated to extract and to adapt the value and the shape of the intensity and the voltage delivered by renewable energy sources. Thus, knowing its behavior in converters is paramount to obtain a maximum conversion efficiency and reliability. In this context, this paper presents a global study of a DC/DC boost converter dedicated to photovoltaic sources based on the modeling of the behavior of the coil or the inductance as a function of the switching frequency
DC.p4: programming the forwarding plane of a data-center switch

The P4 programming language [29, 16] has been recently proposed as a high-level language to program the forwarding plane of programmable packet processors, spanning the spectrum from software switches through FPGAs, NPUs and reconfigurable hardware switches. This paper presents a case study of using P4 to express the forwarding plane behavior of a datacenter switch, comparable in functionality to single-chip shared-memory switches found in many datacenters today. This case study allows us to understand how specific P4 constructs were useful in modeling specific datacenter switch features. We also outline additional language constructs that needed to be added to P4 to support certain features of a datacenter switch. We discuss several lessons that we learned in the process and distill these into a proposal for how P4 could evolve in the future.
Truncation of more than nine amino acid residues from the C-terminus of ExoU dramatically abrogates

ExoU is a 74-kDa, water-soluble toxin injected directly into mammalian cells through the type III secretion system of the opportunistic pathogen, Pseudomonas aeruginosa. Previous studies have shown that ExoU is a Ca2þ-independent phospholipase that requires a eukaryotic protein cofactor. One protein capable of activating ExoU and serving as a required cofactor was identified by biochemical and proteomic methods as superoxide dismutase (SOD1). In these studies, we carried out sitedirected spin-labeling electron paramagnetic resonance spectroscopy to examine the effects of SOD1 and substrate liposomes on the structure and dynamics of ExoU. Local conformational changes within the catalytic site were observed in the presence of substrate liposomes, and were enhanced by the addition of SOD1 in a concentration-dependent manner. Conformational changes in the C-terminal domain of ExoU were observed upon addition of cofactor, even in the absence of liposomes. Double electron-electron resonance experiments indicated that ExoU samples multiple conformations in the resting state. In contrast, addition of SOD1 induced ExoU to adopt a single, well-defined conformation. These studies provide, to our knowledge, the first direct evidence for cofactorand membrane-induced conformational changes in the mechanism of activation of ExoU.
Intercropping peanut with traditional Chinese medicinal plants improves soil microcosm environment and peanut production in subtropical China

Many environmental issues affect peanut production in continuous monocropping system. Deterioration of soil microbial communities, especially for decrease in fungal diversity and increase in fungal pathogens, is widely hypothesized as a key factor for decreasing peanut production. In this study, a pot experiment was conducted to investigate the changes in soil microbial communities and peanut yield under the scheme of peanut intercropped with traditional Chinese medicinal plants, including Atractylodes lancea , Dioscorea zingiberebsis , Euphorbia pekinensis , Ophiopogon platyphyllum and Pinellia ternate . The results showed that soil microcosm environment was improved, and the fungal diversity and fungal pathogens such as Fusarium sp. and Verticillium sp. were restrained when peanut intercropped with A. lancea and E. pekinensis . The DGGE analysis of 18S-rRNA from DNA of the total soil communities showed obvious transferring of species of fungi between peanut monocropping and the intercropping systems. Compared with the control, the superoxide dismutase activity of peanut was increased by 43% in A. lancea and 37% in E. pekinensis intercropping systems, along with 37 and 16% yield improvement of peanut, respectively. Based on the result of the pot experiment, A. lancea and E. pekinensis were intercropped with peanuts in a field experiment. A considerable agreement was found between the results obtained from the field and pot experiments. Compared with peanut monocropping system, colony form unit of mould decreased by 31% in A. lancea and 18% in E. pekinensis intercropping treatments, where peanut yields were respectively increased by 39 and 35%. Further research should include integrated PCR-DGGE analysis to determine the transfer of peanut soil-born pathogens and its mechanism, and the optimization of intercropping system and planting density of medicinal plants to obtain the best benefits, and the understanding of the long-term effect of the intercropping systems.
Study of Some Lakes in the North-Eastern Romanian Plain Using the Coherence Image of the Tandem Pair (ERS-1 and ERS-2)

In radar SAR interferometry (InSAR/DinSAR), a Tandem pair (ERS-1/2) is used for the realization of a DEM or the detection of deformations of a major event (e.g. earthquake) occurring between two acquisitions. The advantage of the Tandem pair is the time interval of 24 hours between the two captures. Generally, there is no temporal decorrelation considering the small difference in time between the acquisitions, which results in a good coherence. The coherence image is used indirectly in radar SAR interferometry as an indicator of the levels of confidence of the interferograms. It can be used in a direct way to identify and delimit the various movement zones which disturb the phase of the radar wave. The objective of this work is to show the utility and the effectiveness of the coherence image in the cartography of lakes and vegetation in a region at the Curvature of the Romanian Carpathians1. Between the two acquisitions dates of May 28 and 29, 1995, there was no geological process involving displacements in direction of the radar. This pair represents the only one among the other pairs which gave a good coherence for the whole scene. In the flat part, one notes a good coherence except for the lakes. They are well represented by very dark colours with zero coherence. In the part of high altitude, especially where there is vegetation, a bad coherence can be clearly seen. Using this image (coherence), one could distinguish the parts with vegetation in great movements due to the effects of the wind, therefore characterised by great heights. The coherence image thus makes it possible to delimit two natural elements in this area, the lakes and the vegetation. The lakes are well delimited, in particular when they are full as in the rain seasons. To show this utility and this effectiveness of the coherence image, we measured the surfaces and dimensions of the lakes based on the Tandem pair and to make a comparison with the existing data and to interpret the results obtained. The three lakes, located in the plain to the East and North-East of the Buza;u town, clearly appear in the coherence image.
UvA-DARE ( Digital Academic Repository ) A mouse model of sitosterolemia : absence of Abcg 8 / sterolin-2 results in failure to secrete biliary cholesterol

Background: Mutations in either of two genes comprising the STSL locus, ATP-binding cassette (ABC)-transporters ABCG5 (encoding sterolin-1) and ABCG8 (encoding sterolin-2), result in sitosterolemia, a rare autosomal recessive disorder of sterol trafficking characterized by increased plasma plant sterol levels. Based upon the genetics of sitosterolemia, ABCG5/sterolin-1 and ABCG8/sterolin-2 are hypothesized to function as obligate heterodimers. No phenotypic difference has yet been described in humans with complete defects in either ABCG5 or ABCG8. These proteins, based upon the defects in humans, are responsible for regulating dietary sterol entry and biliary sterol secretion. Methods: In order to mimic the human disease, we created, by a targeted disruption, a mouse model of sitosterolemia resulting in Abcg8/sterolin-2 deficiency alone. Homozygous knockout mice are viable and exhibit sitosterolemia. Results: Mice deficient in Abcg8 have significantly increased plasma and tissue plant sterol levels (sitosterol and campesterol) consistent with sitosterolemia. Interestingly, Abcg5/sterolin-1 was expressed in both liver and intestine in Abcg8/sterolin-2 deficient mice and continued to show an apical expression. Remarkably, Abcg8 deficient mice had an impaired ability to secrete cholesterol into bile, but still maintained the ability to secrete sitosterol. We also report an intermediate phenotype in the heterozygous Abcg8+/mice that are not sitosterolemic, but have a decreased level of biliary sterol secretion relative to wild-type mice. Conclusion: These data indicate that Abcg8/sterolin-2 is necessary for biliary sterol secretion and that loss of Abcg8/ sterolin-2 has a more profound effect upon biliary cholesterol secretion than sitosterol. Since biliary sitosterol secretion is preserved, although not elevated in the sitosterolemic mice, this observation suggests that mechanisms other than by Abcg8/sterolin-2 may be responsible for its secretion into bile. Published: 24 March 2004 BMC Medicine 2004, 2:5 Received: 17 November 2003 Accepted: 24 March 2004 This article is available from: http://www.biomedcentral. com/1741-7015/2/5 © 2004 Klett et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
7-T MRI in Cerebrovascular Diseases : me and Initial Results Challenges to Overco

Magnetic resonance imaging (MRI) plays a key role in the investigation of cerebrovascular diseases. Compared with computed tomography (CT) and digital subtraction angiography (DSA), its advantages in diagnosing cerebrovascular pathology include its superior tissue contrast, its ability to visualize blood vessels without the use of a contrast agent, and its use of magnetic fields and radiofrequency pulses instead of ionizing radiation. In recent years, ultrahigh field MRI at 7 tesla (7 T) has shown promise in the diagnosis of many cerebrovascular diseases. The increased signal-to-noise ratio (SNR; 2.3x and 4.7x increase compared with 3 and 1.5 T, respectively) and contrast-to-noise ratio (CNR) at this higher field strength can be exploited to obtain a higher spatial resolution and higher lesion conspicuousness, enabling assessment of smaller brain structures and lesions. Cerebrovascular diseases can be assessed at different tissue levels; for instance, changes of the arteries feeding the brain can be visualized to determine the cause of ischemic stroke, regional changes in brain perfusion can be mapped to predict outcome after revascularization, and tissue damage, including old and recent ischemic infarcts, can be evaluated as a marker of ischemic burden. For the purpose of this review, we will discriminate 3 levels of assessment of cerebrovascular diseases using MRI: Pipes, Perfusion, and Parenchyma (3 Ps). The term Pipes refers to the brain-feeding arteries from the heart and aortic arch, upwards to the carotid arteries, vertebral arteries, circle of Willis, and smaller intracranial arterial branches. Perfusion is the amount of blood arriving at the brain tissue level, and includes the vascular reserve and perfusion territories. Parenchyma refers to the acute and chronic burden of brain tissue damage, which includes larger infarcts, smaller microinfarcts, and small vessel disease manifestations such as white matter lesions, lacunar infarcts, and microbleeds. In this review, we will describe the key developments in the last decade of 7-T MRI of cerebrovascular diseases, subdivided for these 3 levels of assessment.
NEUTRACUETICAL EVALUATION OF BOERHAVIA DIFFUSA L.

Objective: Boerhavia diffusa a tropical herb has been a subject of keen interest in phytochemical and pharmacological research due to its excellent medicinal values. The stress and need for quality control and standardisation of medicinal preparations from plants is gaining more importance today in view of the commercialization of drug formulations. Methods: WHO recommends various physicochemical, proximate and nutritive standards so that uniformity in composition and effectiveness is maintained? All the analysis was done using standard protocols. Results: The nutraceutical evaluation of the plant gives an insight into its value as a medicinal as well as highly nutritious one, safe for consumption both as a medicine and as a natural source for antioxidant activities. Conclusion: Thus the present finding suggests that B. diffusa have a promising potential not only to cure ailments but to maintain a healthy life.
PHOTOGRAMMETRIC RECONSTRUCTION USING A MFDC: SYSTEM CALIBRATION PERSPECTIVE

Current advances in digital and electronic products have led to the availability of inexpensive and reliable Medium Format Digital Cameras (MFDCs) that can be used in many photogrammetric applications. In this research, the impact of camera and system mounting parameters calibration on object space reconstruction is investigated under different georeferencing scenarios (i.e., indirect georeferencing and integrated sensor orientation). First, camera calibration is conducted using a MFDC (i.e., the Rollei-P65). Based on different camera calibration datasets – such as indoor, in-situ, and camera calibration certificates, the equivalency of the calibration techniques as well as the adequacy of the distortion models are evaluated while considering relative and absolute quantitative measures. Previously developed camera stability analysis techniques are used for testing the adequacy of the utilized distortion model as well as the equivalency of different calibration techniques. Afterwards, system mounting parameters calibration is conducted to estimate the lever-arm and boresight parameters using different calibration datasets. The mounting parameters are estimated through an integrated sensor orientation (i.e., GPS/INS-assisted Aerial Triangulation) using minimum amount of control information. The estimated system calibration parameters are evaluated by investigating both relative and absolute quantitative measures using different camera calibration parameters. The experimental results have shown that the indoor calibration provides reliable estimate of the internal camera characteristics and leads to accurate system calibration and object space reconstruction.
granular lymphocyte leukemia identifies signature landscapes T-large + Deep sequencing of the T-cell receptor repertoire in CD 8

http://bloodjournal.hematologylibrary. org/content/122/25/4077.full. html Updated information and services can be found at: (1663 articles) Lymphoid Neoplasia (5154 articles) Immunobiology Articles on similar topics can be found in the following Blood collections http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#repub_requests Information about reproducing this article in parts or in its entirety may be found online at: http://bloodjournal.hematologylibrary. org/site/misc/rights.xhtml#reprints Information about ordering reprints may be found online at: http://bloodjournal.hematologylibrary. org/site/subscriptions/index.xhtml Information about subscriptions and ASH membership may be found online at:
Comparative Gross and Histological Studies on Nasal Cavity of Black Bangal Goat and Garole Sheep

In the present study tissue samples were collected from external naris, nasal cavity of six healthy adult black Bengal and Garole sheep for gross and histological observations. There was no much variation detected in gross structures of nostril and nasal cavity in two species. The outer most surface of naris of goat and sheep was lined by stratified squamous epithelium and nasal cavity was lined by ciliated psudostratified columnar epithelium. Nasal epithelium showed several cell types including ciliated, secreting, basal and brush cells. The distribution of glands was more in sheep as compared to goat.
Efficient MIMO Sphere Detection: Algorithms and Architectures

Modern wireless communications standards, such as IEEE 802.11 (WLAN), IEEE 802.16 (WiMAX), 3GPP-LTE or LTE-Advanced, define numerous transmission techniques to be supported by receiver architectures while satisfying a vast variety of stringent and most often conflicting requirements. The situation gets even more challenging with the extremely low latencies and high data rates (among other requirements) envisioned for future 5G technologies. In this context, three concepts will play a major role as key enabling factors: adaptability, efficiency and performance. In the particular context of multi-antenna spatial-multiplexing transmission, accurate detection/demodulation becomes one of the most computationally intensive processes at the receiver end. Designing efficient MIMO (multiple-input, multiple-output) detector realizations, capable of dynamically adapting to data-rate requirements, battery life, and varying channel conditions constitutes the main focus of this work. Developing adaptive, good-performing, and cost-effective MIMO detectors represents however a fairly challenging task. Ordinary low-complex approaches provide poor detection accuracy, whereas exhaustive search algorithms cannot achieve 4G/5G data rates with reasonable hardware complexity. In this regard, the so-called sphere detector, a tree-search-based detection technique, has arisen as the only approach capable of conveniently trading adaptability, efficiency and performance. Iterative detection-and-decoding enables a dramatic improvement of the communication’s reliability by exchanging soft information between the detector and the decoder, at the cost of increasing the receiver’s complexity. One of the major challenges in this context is represented by the distortive effect that the soft information causes on the search ordering, which represents a critical aspect affecting the detection accuracy and complexity of tree-search algorithms. In this regard, characterizing the influence of the soft information on the detection process and developing strategies which alleviate the inherent complexity and performance loss drawbacks constitute a major objective of this work. Among other strategies, a novel enumeration mechanism which determines the optimal symbol ordering while incurring a much lower computational effort than state-of-the-art approaches is proposed and evaluated. Besides addressing the mentioned challenges from the algorithmic perspective, developing suitable architectures which lead to efficient MIMO detector realizations represents an additional major goal. In order to satisfy the standard-defined high throughput requirements while complying with stringent area and power consumption restrictions (present in