Miracle-dz/UniFAR-FTUs huggingface dataset:
Plant Cell Wall Remodelling in the Rhizobium–Legume Symbiosis

Colonization of host cells by rhizobium bacteria involves the progressive remodelling of the plant–microbial interface. Following induction of nodulation genes by legume-derived flavonoid signals, rhizobium secretes Nod-factors (lipochitin oligosaccharides) that cause root hair deformations by perturbing the growth of the plant cell wall. The infection thread arises as a tubular ingrowth bounded by plant cell wall. This serves as a conduit for colonizing bacterial cells that grow and divide in its lumen. The transcellular orientation of thread growth is controlled by the cytoskeleton and is coupled to cell cycle reactivation and cell division processes. In response to rhizobium infection, host cells synthesize several new components (early nodulins) that modify the properties of the cell wall and extracellular matrix. Root nodule extensins are a legume-specific family of hydroxyproline-rich glycoproteins targeted into the lumen of the infection thread. They have alternating extensin and arabinogalactan (AGP) glycosylation motifs. The structural characteristics of these glycoproteins suggest that they may serve to regulate fluid-to-solid transitions in the extracellular matrix. Extensibility of the infection thread is apparently controlled by peroxide-driven protein cross-linking and perhaps also by modification of the pectic matrix. Endocytosis of rhizobia from unwalled infection droplets into the host cell cytoplasm depends on physical contact between glycocalyx components of the plant and bacterial membrane surfaces. As endosymbionts, bacteroids remain enclosed within a plant-derived membrane that is topologically equivalent to the plasma membrane. This membrane acquires specialist functions that regulate metabolite exchanges between bacterial cells and the host cytoplasm. Ultimately, however, the fate of the symbiosome is to become a lysosome, causing the eventual senescence of the symbiotic interaction.
Implementation of Circular Economy Business Models by Small and Medium-Sized Enterprises (SMEs): Barriers and Enablers

Small and medium-sized enterprises (SMEs) are increasingly aware of the benefits of closing loops and improving resource efficiency, such as saving material costs, creating competitive advantages, and accessing new markets. At the same time, however, various barriers pose challenges to small businesses in their transition to a circular economy, namely a lack of financial resources and lack of technical skills. The aim of this paper is to increase knowledge and understanding about the barriers and enablers experienced by SMEs when implementing circular economy business models. Looking first at the barriers that prevent SMEs from realising the benefits of the circular economy, an investigation is carried out in the form of a literature review and an analysis of a sample of SME case studies that are featured on the GreenEcoNet EU-funded web platform. Several enabling factors that help SMEs adopt circular economy practices are then identified. The paper concludes that although various policy instruments are available to help SMEs incorporate circular economy principles into their business models, several barriers remain. The authors recommend that European and national policies strengthen their focus on greening consumer preferences, market value chains and company cultures, and support the recognition of SMEs’ green business models. This can be achieved through the creation of dedicated marketplaces and communities of practice, for example.
Corporate social responsibility in the context of the enterprise marketing activities

Corporate social responsibility (CSR) is an area of the business, which increasingly is entered as an essential element of modern business strategy. CSR is a philosophy in which business organizations involved in social and environmental activities striving to meet the needs of their employees, local communities, suppliers, customers and other stakeholders who have an impact on the success of the enterprise market. Companies recognize the need to supplement the social objectives of business objectives, which turns out to be a good incentive to build long-lasting and mutually beneficial relationship. Important role in connecting the social partners played a concept of business social responsibility. In this sense, CSR programs can be the basis for a broader approach to marketing companies. CSR can be helpful in changing the perception of the company as an institution aimed mainly for profit and unfair to their clients. Determinants to implement socially responsible activities in the enterprise can be both a desire to improve the image, strengthening confidence in the company or brand, and a sense of morality and good will of the management company. The article attempts to present CSR initiatives in the context of building a business relationship with non-governmental organizations (NGOs). The purpose of this article is to present CSR initiatives as part of deliberate strategy of the company, which is one of the key sources of competitive advantage in the market. The characteristics of the issue was based on the achievements of literature ad journals, and selected results of the cooperation between enterprises and non-governmental organizations in the field of social initiatives.
Clinical Profile and Outcome of Acute Poisoning in Children Less than 12 years of Age

Background: Poisoning among children is one of the common medical emergencies encountered in Pediatric practice. Rapid industrialization and exposure to harmful chemicals, introduction of newer range of drugs have widened the spectrum of toxic products to which children are exposed. Objectives: To study clinical course, hospital stay and recovery in childhood poisonings, to assess clinical recovery in correlation with hematological, biochemical and radiological changes, to study various complications and mortality in childhood poisoning. Materials and methods: A prospective observational study was conducted and all patients of childhood poisoning under the age of 12 years and meeting the selection criteria admitted in the tertiary health care center in Saurashtra region were included. Results: Maximum incidence of childhood poisoning was between 1-5 years of age (63%) and 56 % were males. Commonest route of exposure was ingestion (53 %) followed by percutaneous route (38%). Among the poisoning agents, envenomation (39%) and kerosene (24%) were the most common. Vomiting (39%) was the predominant clinical feature. Respiratory failure (22%) and pneumonia (22%) were the most common complications. 3 % needed ventilator care. In the present study, the case fatality was 3%. Conclusion: The trends for childhood poisoning noted at our center were different from previous hospital-based studies in two important ways such as in the nature of the poisoning agents used and the higher incidence of accidental poisoning. Morbiwala S, Parikh Y, Hapani P, Kalathia M, Shah Z, Soodhana D. Clinical Profile and Outcome of Acute Poisoning in Children Less than 12 years of Age. IAIM, 2017; 4(1): 1-6.
Digital EEG signal acquiring system based on FPGA

In recent years, with the development of the study of Electroencephalogram (EEG) theory, brain-computer interfaces (BCI) which can control the interrelated devices based on the features extracted from the brain signals have been popular. However, the amplitude of EEG signals are so weak and they are easily affected by external interference. This paper designs one kind of EEG measuring equipment which can acquire 32-channel EEG signal simultaneously based on FPGA. Then we used this system to measure the steady-state visually evoked potential (SSVEP) signals, and analyzed the data of SSVEP signals with the algorithm of Canonical Correlation Analysis (CCA). Experimental results show that this system can measure the voltage of μV level and can be used to measure the EEG signal.
Predictive control of a wave to wire energy conversion system — The importance of field weakening

This paper investigates the use of field weakening to improve the electrical power capture of a wave-to-wire wave energy conversion system. The system consists of a Linear Permanent Magnet Generator (LPMG) as the power take off, which produces a physical Power Take Off (PTO) force that is controlled by a machine side Voltage Source Converter (VSC). The electrical power is then maximised using Model Predictive Control (MPC), in accordance with the systems constraints. Field weakening is then included in the systems optimisation, where this paper shows how field weakening can increase the PTO force range, hence, increasing feasibility and decreasing the chances of permanent damage during wave energy periods of low DC-link voltage.
Unbalanced and Minimal Point Equivalent Estimation Second-Order Split-Plot Designs

Restricting the randomization of hard-to-change factors in industrial experiments is often required, resulting in a split-plot design structure. From an economic perspective, these designs minimize the experimental cost by reducing the number of resets of the hard-to-change factors. In this paper, unbalanced designs are considered for cases where the subplots are relatively expensive and the experimental apparatus accommodates an unequal number of runs per whole plot. We provide construction methods for unbalanced second-order split-plot designs that possess the equivalent estimation optimality property, providing best linear unbiased estimates of the parameters, independent of the variance components. Unbalanced versions of the central composite and Box–Behnken designs are developed. For cases where the subplot cost approaches the whole-plot cost, minimal point designs are proposed and illustrated with a split-plot Notz design.
Geometry and Illumination Modelling for Scene Understanding

Project Summary The goal this proposal is to develop unified framework for rea soning about objects, scenes and lighting from single and multiple views of indoors and outdoors environments. We propose computational models for semantic parsing of sce nes which incorporate information about the lighting and illumination to resolve the ambiguit ies of purely appearance based methods and develop class of models where partial geometry and seman tic information aid the process of recovery of illumination. The proposed work can be partitio ned into three main research topics:
A Hybrid RANS-Implicit LES Approach for the High-Order FR/CPR Method

High-order methods have demonstrated their potential in large eddy simulations (LES) of turbulent flows with relatively low Reynolds numbers. The cost becomes a serious limiting factor for high Reynolds number problems. A promising approach to reduce the cost of these simulations is the hybrid Reynolds-Averaged Navier-Stokes (RANS)/LES approach. In this paper, a new hybrid RANS-Implicit LES (ILES) approach for the high-order FR/CPR method is presented, using a simple algebraic version of the Spalart-Allmaras model in the vicinity of solid walls, and an ILES approach elsewhere. Despite its simplicity, this approach has demonstrated good performance in simulating turbulent flow at relatively high Reynolds numbers.
Fabrication of Nickel Nanosized Powder from LiNiO2 from Spent Lithium-Ion Battery

In this study, a fabrication of nickel nanoparticles from LNO(LiNiO2), which is a cathode active material, was synthesized by the liquid reduction process of NiSO4, obtained through a leaching and purification process. Hydrazine monohydrate (N2H4·H2O) was used as a liquid reducing agent and it was added to NiSO4 at a volume ratio of NiSO4:N2H4·H2O = 10:3 and reacted for 10 min to synthesize the nickel hydrazine complex. Sodium hydroxide was added to the nickel hydrazine complex at the weight ratio of NiSO4:NaOH = 10:1.25–1.5 and the reduction reaction was performed at 80 °C for 15 min to synthesize nickel particles. Synthesized nickel particles were agglomerated and had a mean size of 200 nm to 300 nm. Ultrasonic dispersion, which is a physical dispersion method, was conducted. The nickel had particles of 100 nm or less when dispersed for 2 h at an ultrasonic intensity of 40 kHz. In order to prevent the agglomeration of the dispersed particles again, polyvinylpyrrolidone (PVP), an interfacial stabilizer, was added to stabilize the dispersed particles. It was confirmed that the nanoparticles were stably retained when PVP was added in an amount of 1 to 2 wt % based on the weight of the nickel. The purity of nickel recovered was found to be 99.62 wt %.
How Does Heterogeneity Shape the Socioeconomic Gradient in Health Satisfaction

Individual heterogeneity plays a key role in explaining variation in self-reported well-being and, in particular, health satisfaction. It is hypothesised that the inuence of this heterogeneity varies over levels of health and increases over the life-cycle. These hypotheses are tested with data on health satisfaction from 22 waves of the German Socioeconomic Panel (GSOEP). Nonlinear xed eects methods that allow for unobserved heterogeneity are not readily available for categorical measures of well-being. One common solution is to revert to conditional fixed effects methods, at the price of a high degree of information loss. Another common solution is to ignore the association between unobserved heterogeneity and socio-economic status by using pooled or random eects models, at the price of potential bias. We use a generalization of the conditional xed eects logit, that allows for individual-specic reporting bias, heterogeneity in health endowments, and heterogeneity in the impact of income on health satisfaction. Adjusting for unobserved heterogeneity accounts for the relationship between income and very good health, but not between income and poorer health states. The income gradient for older age-groups is more strongly aected by controlling for unobserved heterogeneity: revealing an increasing inuence of heterogeneity on health satisfaction over the life-span.
Improvements in Resilience, Stress, and Somatic Symptoms Following Online Resilience Training

Objective: To determine if participation in an online resilience program impacts resilience, stress, and somatic symptoms. Methods: Approximately 600 enrollees in the meQuilibrium resilience program received a series of brief, individually prescribed video, and text training modules in a user-friendly format. Regression models tested how time in the program affected change in resilience from baseline and how changes in resilience affected change in stress and reported symptoms. Results: A significant dose–response was detected, where increases in the time spent in training corresponded to greater improvements in resilience. Degree of change in resilience predicted the magnitude of reduction in stress and symptoms. Participants with the lowest resilience level at baseline experienced greater improvements. Conclusion: Interaction with the online resilience training program had a positive effect on resilience, stress, and symptoms in proportion to the time of use.
Transient performance analysis of low voltage connected microgeneration

The growing awareness of the environmental impacts of large-scale thermal generating units has stimulated interest in microgeneration that is installed within domestic or commercial premises. This paper investigates the transient response to be expected from a range of microgeneration units that could typically be connected. The paper examines the impact of fault locations, typical fault clearance times and generator/prime mover technologies on the ability of microgenerators to maintain stability when subject to disturbances during and after clearing of both local low and remote medium voltage faults. The paper also presents the study of the step voltage changes occurring due to the simultaneous reconnection of a large number of microgenerators within a small area of the network. Two types of technologies are considered in this paper: a small diesel engine driving a three-phase synchronous machine connected within commercial premises; and a small microwind turbine interfaced directly within a residential dwelling by a single-phase induction generator.
A Tool for Mining Defect-Tracking Systems to Predict Fault-Prone Files

In earlier research we identified characteristics of files in large software systems that tend to make them particularly likely to contain faults. We then developed a statistical model that uses historical fault information and file characteristics to predict which files of a system are likely to contain the largest numbers of faults. Testers can use that information to prioritize their testing and focus their efforts to make the testing process more efficient and the resulting software more dependable. In this paper we describe a proposed new tool to automate this prediction process, and discuss issues involved in its design and implementation. The goal is to produce an automated tool that mines the project defect tracking system and that can be used by testers without requiring any particular statistical expertise or subjective judgements.
The VLT-FLAMES survey of massive stars: mass loss and rotation of early-type stars in the SMC

We have studied the optical spectra of a sample of 31 O- and early B-type stars in the Small Magellanic Cloud, 21 of which are associated with the young massive cluster NGC 346. Stellar parameters are determined using an automated fitting method (Mokiem et al. 2005, A&A, 441, 711), which combines the stellar atmosphere code fastwind (Puls et al. 2005, A&A, 435, 669) with the genetic algorithm based optimisation routine pikaia (Charbonneau 1995, ApJS, 101, 309). Comparison with predictions of stellar evolution that account for stellar rotation does not result in a unique age, though most stars are best represented by an age of 1–3 Myr. The automated method allows for a detailed determination of the projected rotational velocities. The present day vr sini distribution of the 21 dwarf stars in our sample is consistent with an underlying rotational velocity (vr) distribution that can be characterised by a mean velocity of about 160−190 km s −1 and an effective half width of 100−150 km s −1 . T hevr distribution must include a small percentage of slowly rotating stars. If predictions of the time evolution of the equatorial velocity for massive stars within the environment of the SMC are correct (Maeder & Meynet 2001, A&A, 373, 555), the young age of the cluster implies that this underlying distribution is representative for the initial rotational velocity distribution. The location in the Hertzsprung-Russell diagram of the stars showing helium enrichment is in qualitative agreement with evolutionary tracks accounting for rotation, but not for those ignoring vr . T he mass loss rates of the SMC objects having luminosities of logL� /L� 5.4 are in excellent agreement with predictions by Vink et al. (2001, A&A, 369, 574). However, for lower luminosity stars the winds are too weak to determine u M accurately from the optical spectrum. Three targets were classifiedas Vz stars, two of which are located close to the theoretical zero-age main sequence. Three lower luminosity targets that were not classified as Vz stars are also found to lie near the ZAMS. We argue that this is related to a temperature effect inhibiting cooler from displaying the spectral features required for the Vz luminosity class.
Designing and Simulating a Sensor Network of a Virtual Intelligent Home Using TOSSIM Simulator

In this paper, we evaluate the features and limitations of Tiny OS mote Simulator (TOSSIM), the sensor network simulator in TinyOS systems. The focus is on the applicability of TOSSIM for intelligent home research. As a part of the research work, we designed and implemented a simple sensor network that can be used in a virtual intelligent home. Our conclusions are based on the tests performed with the simulator as well as articles already published on TOSSIM.
ADAPTAÇÕES MORFOFUNCIONAIS E RESPOSTAS MOLECULARES DO MÚSCULO ESQUELÉTICO DE RATOS SUBMETIDOS AO TREINAMENTO AERÓBIO

10 I INTRODUCAO 12 1. Caracteristicas Gerais das fibras do Musculo Esqueletico 12 2. Modulacao das Fibras Musculares ao Treinamento Aerobio 15 3. Mecanismos Moleculares Envolvidos na Modulacao das Fibras Musculares 18 4. Mecanismos Envolvidos no Controle do Fenotipo Muscular 23 II JUSTIFICATIVA 25 III OBJETIVOS 25 IV – MATERIAIS E METODOS 25 V – REFERENCIAS BIBLIOGRAFICAS 36 VI – CAPITULO 44 ______________________________________________________Ivan Jose Vechetti Junior
Hepatic and Renal Betaine-Homocysteine Methyltransferase Activity in Pigs as Affected by Dietary Intakes of Sulfur Amino Acids , Choline , and Betaine 1

In Exp. 1, young pigs were fed a basal diet containing . 17% methionine (Met) (.14% digestible Met), and . 48% cystine (.38% digestible cystine) for 14 d (34 to 48 d of age). Treatment additions were . 25% DL-Met, . 34% betaine, . 30% choline, or . 25% DLMet and . 34% betaine. Methionine, but not betaine or choline supplementation, increased ( P < .05) weight gain and feed efficiency. Hepatic betaine-homocysteine methyltransferase (BHMT) activity was increased ( P < .05) by betaine and choline supplementation but was not affected by Met deficiency. Renal BHMT activity was increased ( P < .05) by Met deficiency and was further increased ( P < .05) by betaine supplementation. In Exp. 2, 10-kg pigs were fed the basal diet from Exp. 1 supplemented with enough DL-Met to bring the total basal Met to . 24% (.20% digestible Met). Treatment additions consisted of . 20% DL-Met or . 34% betaine, and diets were fed for 16 d (34 to 50 d of age). Feed efficiency increased ( P < .05) in response to Met, but not to betaine, supplementation. Hepatic BHMT activity increased ( P < .05) in response to betaine and Met, but no changes in renal BHMT activity occurred. Although statistically significant changes in hepatic and renal BHMT activity occurred in both experiments, the magnitude of the responses was probably not physiologically important. Therefore, in contrast to previous findings with rats and chicks, it does not seem that hepatic and renal BHMT activity in pigs is influenced substantially by Met deficiency, or by surfeit levels of choline or betaine.
Bridging the Gap between Different Interfaces for Business Process Modeling

 Abstract — The paper focuses on the benefits of business process modeling. Although this discipline is developing for many years, there is still necessity of creating new opportunities to meet the ever increasing users’ needs. Because one of these needs is related to the conversion of business process models from one standard to another, the authors have developed a converter between BPMN and EPC standards using workflow patterns as intermediate tool. Nowadays there are too many systems for business process modeling. The variety of output formats is almost the same as the systems themselves. This diversity additionally hampers the conversion of the models. The presented study is aimed at discussing problems due to differences in the output formats of various modeling environments.
An Efficient K-Means + + Algorithm using Nearest-Neighbor Search

K-means algorithm is most popular partition based algorithm that is widely used in data clustering. A lot of algorithms have been proposed for data clustering using Kmeans algorithm due to its simplicity, efficiency and ease convergence. In spite this K-means algorithm has some drawbacks like it scales poorly computationally, initial cluster centers is supplied by the user and stuck in local optima etc. Determining the number of clusters is very complex and is usually done by an expert. Thus, this paper intends to overcome this problem by proposing a parameterfree algorithm for automatic clustering. It is based on successive adequate restarting of K-means algorithm based on Nearest Neighbor search. This proposed approach is more effective and gives a tough competition to the well-known algorithms, X-means and G-means in terms of clustering accuracy and estimation of the correct number of clusters.