Miracle-dz/UniFAR-FTUs huggingface dataset:
Occurrence of Pyruvate Orthophosphate Dikinase in the Succulent Plant, Kalanchoë daigremontiana Hamet. et. Perr.

Pyruvate orthophosphate dikinase was detected from Kalanchoë daigremontiana Hamet. et. Perr. , a succulent plant with crassulacean acid metabolism. Enzyme activity was similar to that of maize extracts. Two enzymes demonstrating pyruvate orthophosphate dikinase activity from K. daigremontiana and Zea mays were found to be partially identical from enzyme-inhibition and immunoprecipitin tests with maize enzyme antiserum. A time course study demonstrated that pyruvate orthophosphate dikinase activity in leaf extracts was dependent upon exposure of leaves to light.
Enhancement by IgM rheumatoid factor of in vitro ingestion by macrophages and in vivo clearance of aggregated IgG or antigen‐antibody complexes

Polyclonal as well as monoclonal IgM rheumatoid factors (RF) markedly enhanced both the attachment and ingestion of heat‐aggregated human IgG (HAG) by mouse alveolar macrophages, mouse peritoneal macrophages and human peripheral monocytes. This effect depended upon the integrity of the Fc fragment of the HAG as shown by the experiments performed with reduced and alkylated HAG. Marked differences in the stimulation index were observed between the five tested RF.
Decipherment of Evasive or Encrypted Offensive Text

Automated filters are commonly used in on line chat to stop users from sending malicious messages such as age-inappropriate language, bullying, and asking users to expose personal information. Rule based filtering systems are the most common way to deal with this problem but people invent increasingly subtle ways to disguise their malicious messages to bypass such filtering systems. Machine learning classifiers can also be used to identify and filter malicious messages, but such classifiers rely on training data that rapidly becomes out of date and new forms of malicious text cannot be classified accurately. In this thesis, we model the disguised messages as a cipher and apply automatic decipherment techniques to decrypt corrupted malicious text back into plain text which can be then filtered using rules or a classifier. We provide experimental results on three different data sets and show that decipherment is an effective tool for this task.
Personal Ruler Ship in Contemporary Iran a Historical Sociology Approach to Some Obstacles of Civil Society (1921-1941)

This article explores one of the reasons which have prevented the civil society to be grown in contemporary Iran. Since every society has specific history and mutations, in this research, historical sociology approach is used. This approach, explored by many sociologists such as Max Weber, is widely used for understanding social and political structure in various countries and cultures. This article explores one of the main reasons of limitation of civil society in Iran, related to patrimonial culture and personal rulership in pre modern and modern Iran consecutively. In pre modern Iran there wasn’t any law and everything referred to patrimonial ruler without having any limitation in power. After the emergence of modern state in Iran, patrimonial type of domination was reborn with a new face. Here it was the personal ruler ship which controlled all social groups and institutions; and civil society was too limited at this time.
Histological reconstruction of dental development in four individuals from a medieval site in Picardie, France.

The majority of dental development studies in modern humans are based on radiographic analysis. In comparison, very few full histological studies have been carried out. In the present study, the onset of enamel formation and crown formation time have been established by histological analysis of the complete dentition in a medieval French individual. Crown formation times were established for the dentition of three further individuals. The number of cross-striations between adjacent striae of Retzius was measured and accentuated striae were used to construct a chart of the chronology of tooth development. Results on crown formation times in individual teeth when compared with previous histologic studies are slightly greater than values in a modern African male and near to or less than values in (M1) and (I) respectively in a modern population from Spitalfields, London. Histologically derived crown initiation times are earlier than those reported for radiographic studies. Values for crown formation times derived in general from radiographic studies are less than those of our study. Attention has recently been focused on the overlap of molar development as a key character for distinguishing between humans and great apes. In this study, there is an overlap in crown formation between M1 and M2 of 0.27 years and a temporal delay of 1.7 years between M2 crown completion and the initiation of the M3.
Potential Cardiovascular and Metabolic Beneficial Effects of ω-3 PUFA in Male Obesity Secondary Hypogonadism Syndrome

Long-chain ω-3 polyunsaturated fatty acids (PUFAs) are fundamental biocomponents of lipids and cell membranes. They are involved in the maintenance of cellular homeostasis and they are able to exert anti-inflammatory and cardioprotective actions. Thanks to their potential beneficial effects on the cardiovascular system, metabolic axis and body composition, we have examined their action in subjects affected by male obesity secondary hypogonadism (MOSH) syndrome. MOSH syndrome is characterized by the presence of obesity associated with the alteration of sexual and metabolic functions. Therefore, this review article aims to analyze scientific literature regarding the possible benefits of ω-3 PUFA administration in subjects affected by MOSH syndrome. We conclude that there are strong evidences supporting ω-3 PUFA administration and/or supplementation for the treatment and management of MOSH patients.
Low levels of pyrophosphate in transgenic potato plants expressing E. coli pyrophosphatase lead to decreased vitality under oxygen deficiency.

BACKGROUND AND AIMS The aim of this study was to investigate the importance of pyrophosphate (PPi) for plant metabolism and survival under low oxygen stress. Responses of roots of wild-type potato plants were compared with roots of transgenic plants containing decreased amounts of PPi as a result of the constitutive expression of Escherichia coli pyrophosphatase in the cytosol. METHODS For the experiments, roots of young wild-type and transgenic potato plants growing in nutrient solution were flushed for 4 d with nitrogen, and subsequently metabolite contents as well as enzyme activities of the glycolytic pathway were determined. KEY RESULTS AND CONCLUSIONS In roots of transgenic plants containing 40% less PPi, UDPglucose accumulated while the concentrations of hexose-6-phosphate, other glycolytic intermediates and ATP were decreased, leading to a growth retardation in aerated conditions. Apart from metabolic alterations, the activity of sucrose synthase was increased to a lower extent in the transgenic line than in wild type during hypoxia. These data suggest that sucrose cleavage was inhibited due to PPi deficiency already under aerated conditions, which has severe consequences for plant vitality under low oxygen. This is indicated by a reduction in the glycolytic activity, lower ATP levels and an impaired ability to resume growth after 4 d of hypoxia. Interestingly, the phosphorylation of fructose-6-phosphate via PPi-dependent phosphofructokinase was not altered in roots of transgenic plants. Nevertheless, our data provide some evidence for the importance of PPi to maintain plant growth and metabolism under oxygen deprivation.
Applying resilience approach to C2 Center during FIFA's 2014 World Cup in Rio de Janeiro

Rio de Janeiro’s Integrated Command and Control Center (CICC-RJ ) has already seen duty in several large scale events which happened in town, some planned, others not. CICC-RJ is part of Rio de Janeiro state’s response to the Brazilian national government’s mandate to improve the state’s ability to anticipate and respond coherently to public safety events in the region. Its infrastructure is intended to enable and promote local agencies’ ability to anticipate, plan, monitor, and respond to public safety events by sharing operational intelligence and acting in concert. The aim of this paper is to explore some of the CICC-RJ issues where fragility and resilience were at play during the operational management of the 2014 World Cup in Rio de Janeiro, as the CICC-RJ seeks to enhance its capabilities to promote resilience in preparation for the 2016 Olympics in Brazil.
Atypical clinical presentation of coinfection with Ehrlichia, Babesia and Hepatozoon species in a dog

TICKBORNE coinfections are commonly described in endemic areas ([Suksawat and others 2001b][1], [Zandvliet and others 2004][2]), although few clinical reports are available ([Meinkoth and others 1998][3], [Suksawat and others 2001a][4], [Tuttle and others 2003][5], [Mylonakis and others 2004][6]).
Impact of LER and Random Dopant Fluctuations on FinFET Matching Performance

Parameter variations pose an increasingly challenging threat to the CMOS technology scaling. Among the sources of variability, line-edge-roughness (LER) and random dopant (RD) fluctuations are significant in current technology nodes. In this paper, the impact of the LER and RD on the matching performance of FinFETs is investigated for the LSTP-32 nm node, where these devices represent an attractive alternative to the planar CMOS transistors. Line-edge-roughness contributions from the fin, top-, and side wall-gates of n- and p-channel FinFETs are compared by means of 2-D and 3-D technology computer-aided design (TCAD) simulations, performed with a quantum-corrected hydrodynamic model on large statistical ensembles. Correlations between geometrical roughness and resulting electrical parameters are analyzed to provide further insight into the impact of the LER. A noise analysis approach is adopted to evaluate the impact of RD fluctuations throughout the impurity concentration ranges of interest, providing a direct comparison with the line-edge-roughness contributions. The impact of the extension doping profile specifications on the LER- and RD-induced mismatch is investigated, highlighting the potential drawbacks of junction engineering.
Regularization by the Linear Functional Strategy with Multiple Kernels

The choice of the kernel is known to be a challenging and central problem of kernel based supervised learning. Recent applications and significant amount of literature have shown that using multiple kernels (the so-called Multiple Kernel Learning (MKL)) instead of a single one can enhance the interpretability of the learned function and improve performances. However, a comparison of existing MKL-algorithms shows that though there may not be large differences in terms of accuracy, there is difference between MKL-algorithms in complexity as given by the training time, for example. In this paper we present a promising approach for training the MKL-machine by the linear functional strategy, which is either faster or more accurate than previously known ones.
Genome Sequence of Rough and Smooth Variants of Pleomorphic Strain Lactobacillus farciminis CNCM-I-3699

ABSTRACT The probiotic Lactobacillus farciminis CNCM-I-3699 is a pleomorphic strain exhibiting smooth and rough variants. We report their complete genomes consisting of a chromosome of 2, 4 Mb and a plasmid of 6,417 bp. The smooth variant differs by the presence of an additional plasmid of 35,418 bp.
A study on dissolution of a South African calcium based material in acetic acid solution for flue gas desulphurisation

This The use of organic acid is very important in wet flue gas desulphurisation (FGD) process, so as to buffer the pH and make the operation more flexible and also improve reliability. In this study the dissolution of limestone in acetic acid solution is studied using pH-Stat equipment at pH 5. The effects of reaction temperature, particle size, solid-to-liquid ratio, stirring speed and concentration were studied using a pH-Stat. It was found out that the dissolution reaction follows a shrinking-core model with the chemical reaction control as the rate-controlling step. The dissolution rate increased with an increase in concentration and reaction temperature and with a decrease in particle size, and solid-to-liquid ratio. The activation of this dissolution process was found to be 20.62 kJ/mol.
A novel method using KDE and Graph Cut in Stereo Matching

This paper presents a new stereo matching method based on Kernel Density Estimation (KDE) and Graph Cut. KDE similarity is applied to the image's color disparity difference sample space and a measure method of the difference of the corresponding matching elements is obtained. Based on the KDE similarity, the data penalty of the Global Energy Function of Stereo Matching problem can be constructed. And final disparity map is obtained by the Graph Cut algorithm. Experimental results of the proposed algorithm demonstrate our method comparing with the traditional methods.
Bayesian sparse estimation of targets with range-Doppler grid mismatch

In this paper, we study the problem of estimating the target scene via a signal sparse representation (SSR) scheme in the range-Doppler domain. As compared to a range-gate by range-gate SSR analysis, this bidimensional approach can take into account targets straddling two range-gates. Here, we propose a robust SSR Bayesian algorithm that considers the well known grid mismatch problem in both the range and Doppler dimensions. Our algorithm implements a bidimensional approach to a previous described algorithm. Numerical simulations are performed with synthetic and experimental data to demonstrate the benefit of estimating the grid mismatch with the proposed technique.
Structural sparseness and complex networks

The field of complex networks has seen a steady growth in the last decade, fuelled by an ever-growing collection of relational data that our life in the information age generates. While several structural commonalities of complex networks have been observed—e.g. low density, heavily skewed degree-distributions, or the small world property—so far no property has been discovered that is algorithmically exploitable on a broad scale. Concurrently, the theory of structurally sparse graphs has been revolutionised by Robertson and Seymour’s graph minors programme. Many tools and techniques, developed as ‘by-products’ in the programme, have had a tremendous impact on the research of parametrised and approximation algorithms. They in particular enabled the development of several algorithmic meta-theorems, that is, algorithms that work for a large spectrum of problems on sparse inputs. In this thesis, we work towards bringing the field of structural sparse graphs and the field of complex networks closer together. We identify two notions of structural sparseness based on the density of shallow minors as keys for this endeavour: classes of bounded expansion and nowhere dense classes as introduced by Nešetřil and Ossona de Mendez in their seminal work on a robust theory of sparseness. In the following, we demonstrate that these sparse classes admit efficient algorithms for a huge number of problems, some of which have applications in domain-specific areas of network science. We further prove that several fundamental network models exhibit these properties and demonstrate empirically that this also holds true for a selection of realworld networks from various domains. As a result, we can state that the theory of structurally sparse graphs is applicable to complex networks and, as a corollary, so is the rich algorithmic toolkit it provides. This connection offers researchers from both the field of algorithmic graph theory and network science new approaches, insights, and productive questions.
Transcriptional and Functional Classification of the GOLVEN/ROOT GROWTH FACTOR/CLE-Like Signaling Peptides Reveals Their Role in Lateral Root and Hair Formation1[W][OA]

Summary: The expression domains and phenotypes associated with distinct members of the GLV/RFG/CLEL secreted peptide family indicate that they function in multiple developmental programs, including meristem maintenance, gravitropism, lateral root emergence, and the formation of root hairs. The GOLVEN (GLV)/ROOT GROWTH FACTORS/CLE-Like small signaling peptide family is encoded by 11 genes in Arabidopsis (Arabidopsis thaliana). Some of them have already been shown to control root meristem maintenance, auxin fluxes, and gravitropic responses. As a basis for the detailed analysis of their function, we determined the expression domains for each of the 11 GLV genes with promoter-reporter lines. Although they are collectively active in all examined plant parts, GLV genes have highly specific transcription patterns, generally restricted to very few cells or cell types in the root and shoot and in vegetative and reproductive tissues. GLV functions were further investigated with the comparative analysis of root phenotypes induced by gain- and loss-of-function mutants or in treatments with GLV-derived synthetic peptides. We identified functional classes that relate to the gene expression domains in the primary root and suggest that different GLV signals trigger distinct downstream pathways. Interestingly, GLV genes transcribed at the early stages of lateral root development strongly inhibited root branching when overexpressed. Furthermore, transcription patterns together with mutant phenotypes pointed to the involvement of GLV4 and GLV8 in root hair formation. Overall, our data suggest that nine GLV genes form three subgroups according to their expression and function within the root and offer a comprehensive framework to study the role of the GLV signaling peptides in plant development.
A study on the coordinate interleaving of the double space-time block code in OFDM system

The space-time block coding scheme combined with multicarrier transmission has been widly used in communication and broadcasting system. To increase the multiplexing and diversity gain of a conventional STBC-OFDM system, we introduce the new transmission scheme which is a combinational method of the double STBC-OFDM and the coordinate interleaving technique. In this paper, the proposed coordinate interleaved double STBC-OFDM (CID-STBC-OFDM) scheme has been analyzed and simulated. Our result shows the proposed method outperform the conventional scheme in mobile channel environment.
Analysis of Malware Families on Android Mobiles: Detection Characteristics Recognizable by Ordinary Phone Users and How to Fix It

The sale of products using the android Operation System (OS) phone is increasing in rate: the fact is that its price is cheaper but its configured hardware is higher, users easily buy it and the approach to this product increases the risk of the spread of mobile malware. The understanding of majority of the users of this mobile malware is still limited. While they are growing at a faster speed in the number and level of sophistication, especially their variations have created confusion for users; therefore worrying about the safety of its users is required. In this paper, the author discussed the identification and analysis of malware families on Android Mobiles. The author selected the recognizable characteristics from ordinary users with their families collected from 58 malware families and 1485 malware samples and proposed solutions as recommendations to users before installing it with the ultimate desire to mitigate the damage in the community that is on the android phone, especially the ordinary users with limited understanding about potential hazards. It would be helpful for the ordinary users to identify the mobile malware in order to mitigate the information security risk.
M4 muscarinic receptors regulate the dynamics of cholinergic and dopaminergic neurotransmission: relevance to the pathophysiology and treatment of related central nervous system pathologies

Dopaminergic dysfunction is an important pathogenetic factor for brain pathologies such as Parkinson's disease, ADHD, schizophrenia, and addiction as well as for metabolic disorders and anorexia. Dopaminergic neurons projecting from the midbrain to forebrain regions, such as the nucleus accumbens and the prefrontal cortex, regulate motor and cognitive functions and coordinate the patterned response of the organism to sensory, affective, and rewarding stimuli. In this study, we showed that dopaminergic neurotransmission is highly dependent on M4 cholinergic muscarinic receptor function. Using in vivo microdialysis, we found elevated dopamine (DA) basal values and enhanced DA response to psychostimulants in the nucleus accumbens of M4 knockout mice. We also demonstrated impaired homeostatic control of cholinergic activity that leads to increased basal acetylcholine efflux in the midbrain of these animals. Thus, loss of M4 muscarinic receptor control of cholinergic function effectuates a state of dopaminergic hyperexcitability. This may be responsible for pathological conditions, in which appetitive motivation as well as affective and cognitive processing is impaired. We propose that M4 receptor agonists could represent an innovative strategy for the treatment of pathologies associated with hyperdopaminergia.
Comparison of backstepping, fuzzy-PID, and PID control techniques using X8 model in relation to A∗ path planning

The paper proposes a study of different control techniques e.g. Backstepping, Fuzzy-PID, and PID used along a predefined 2D path from the A∗ path planning algorithm. The control techniques were applied to an X8 quadcopter model and investigated upon by analyzing the RMSE of each output motion. Through the simulation comparison, Fuzzy-PID proves to be the superior performer with the lowest RMSE value for all six output motions amongst the three control techniques applied.
Photonic crystals assisted slow wave structure for THz vacuum devices

A corrugated waveguide with Photonic Crystal (PhC) wall is proposed for effective beam-wave interaction with wide sheet beams at terahertz frequency. Compared to conventional corrugated waveguides, PhC technology provides efficient field confinement in a naturally open structure which allows for improved level of vacuum pumping alleviating the typical assembling issues.
Three-dimensional square spiral photonic crystal nanostructures by glancing angle deposition

We demonstrate the fabrication of a three-dimensional photonic band gap nanostructure using the unique Glancing Angle Deposition (GLAD) thin film technique. This innovative photonic structure is based on a tetragonal, square spiral symmetry found in FCC and diamond lattices and can be implemented in a virtual single-step fabrication process using GLAD. A highly porous film with engineered nanostructure results from the implementation of advanced substrate motion during the deposition, and three-dimensional periodicity required for a photonic crystal can be obtained when a square spiral staircase is fabricated on a tetragonally seeded substrate. We present successful fabrication of three-dimensional square spiral structures along with some examples of the unique capabilities of these nanostructured thin films.
Improved localization using Kalman filter on estimated positions

In this paper we present a computational-efficient two-phases model for localization and tracking based on Kalman filter. A first estimate of target position is obtained via Super MDS algorithm only using noisy distance measurements, then location information is refined via a classic Kalman Filter exploiting the noisy acceleration of the target. The main scientific contribution of this paper is to show that, although the information theory proves that such a sequential approach is sub-optimal, the performance is accurate enough even with high-noisy acceleration measurements. This fact suggests that in the vast majority of use cases is possible, taking advantage of its mathematical simplicity, to employee this two-phase model neglecting its sub-optimality.