Miracle-dz/UniFAR-FTUs huggingface dataset:
Achieving Fault Resilience

The key principles we used to make MINIX 3 failure resilient are fault isolation, defect detection, and run-time recovery. Fault isolation is required to prevent problems from spreading and limit the damage bugs can do. When a bug is properly caged it becomes easier to pinpoint the defect, and recovery may be possible. In the following we briefly discuss how we realized each principle in MINIX 3. As an aside, this model may have consequences for the accountability of software vendors [5], but in this article, we focus on the technical aspects of our design.
Apr 28, 2019 Integration of enzymatic data in Bacillus subtilis genome-scale metabolic model improves phenotype predictions and enables in silico design of poly--glutamic

Background: Genome-scale metabolic models (GEMs) allow predicting metabolic phenotypes from limited data on uptake and secretion fluxes by defining the space of all the feasible solutions and excluding physio-chemically and biologically unfeasible behaviors. The integration of additional biological information in genome-scale models, e.g., transcriptomic or proteomic profiles, has the potential to improve phenotype prediction accuracy. This is particularly important for metabolic engineering applications where more accurate model predictions can translate to more reli-able model-based strain design. Results: Here we present a GEM with Enzymatic Constraints using Kinetic and Omics data (GECKO) model of Bacillus subtilis , which uses publicly available proteomic data and enzyme kinetic parameters for central carbon (CC) metabolic reactions to constrain the flux solution space. This model allows more accurate prediction of the flux distribution and growth rate of wild-type and single-gene/operon deletion strains compared to a standard genome-scale metabolic model. The flux prediction error decreased by 43% and 36% for wild-type and mutants respectively. The model additionally increased the number of correctly predicted essential genes in CC pathways by 2.5-fold and significantly decreased flux variability in more than 80% of the reactions with variable flux. Finally, the model was used to find new gene deletion targets to optimize the flux toward the biosynthesis of poly-γ-glutamic acid (γ-PGA) polymer in engineered B. subtilis . We implemented the single-reaction deletion targets identified by the model experimentally and showed that the new strains have a twofold higher γ-PGA concentration and production rate compared to the ancestral strain. Conclusions: This work confirms that integration of enzyme constraints is a powerful tool to improve existing genome-scale models, and demonstrates the successful use of enzyme-constrained models in B. subtilis metabolic engineering. We expect that the new model can be used to guide future metabolic engineering efforts in the important industrial production host B. subtilis .
BEYOND TECH: RISING AWARENESS FOR THE OPEN SEARCH FOUNDATION

The Open Search Foundation (OSF) was officially founded in September 2018. It was the end of a first iterative process in order to establish a movement of people and organizations that work together to create the foundations for independent, free and self-determined access to information on the Internet. The center of the activities of the OSF in this time was the so called Tech Group that was established in May 2018. Together with experts from European computer centers and research institutions, the focus was on conducting decentralized indexing experiments and advanced concepts. In addition, first supporters of the Open Search movement were gained from the private and public sectors [1]. But the work of the OSF must and will go beyond the technical aspects, particularly since the Non-Profit (NP) entered phase 2 in its development after the official foundation in September 2018. Therefore, a set of additional working groups were initialized. One important working group is the Awareness working group. According to the vision of the OSF it is not only the objective to ensure greater diversity in the European search engine landscape and to develop the basis for indexes that are available to citizens according to transparent criteria. Another important aspect of the vision of the OSF is to educate the people about the existing problem of network monopolies, particularly with regard to the search infrastructure [2]. The discussions in the last years in promoting the idea of the OSF demonstrated the big necessity to do so, since most people are not aware of the existing monopoly-problem. In addition, the ever-advancing digitization of our daily life and the increasing use of Internet technologies in all spheres of our societies imply that we need to sharpen the awareness of how the OSF wants to deploy and govern the use of these technologies [3]. Hence, there is a huge need for the OSF to increase its communication activities in order to reach its public welfare objectives and to address the relevant target groups.
Nanotechnology; A Great Innovation in Scientific Research and Technology-A Review

Nanotechnology has brought numerous scientific development in the area of research and expertise. Nanoparticle is a core particle which performs as a whole unit in terms of transport and property. Nano size particles are quite unique in nature because nano size increase surface to volume ratio and also its physical, chemical and biological properties are different from bulk material. So the main aim to study its minute size is to trigger chemical activity with distinct crystallography that increases the surface area. Nanotechnology represents the design, production and application of materials at atomic, molecular and macromolecular scales, in order to produce new nano-sized materials. The synthesis of Nanoparticles mainly done by several different chemical, physical and biological methods. Each method has its own significance and Nanoparticles synthesized by a specific method are utilized in a specific field. On characterization, it is concluded that Nanoparticles are the best advanced materials to apply in almost every field of research and technology for routine life applications. Nanoparticles are applied now a day in medical fields for diagnosis of diseases, and their cure. These are applied in electronic industries to make nano-chips and microchips. Along with, there are used in health and dispensary, power industry and environment safety, farming, armed forces and other productions. Thus, this review explores the scope, synthesis, characterization, and applications of Nanoparticles in fields of research and technology.
TAYLOR-COUETTE-POISEUILLE FLOWS: FROM RANS TO LES

The present paper proposes a study of a Taylor-Couette-Poiseuille flow in a narrow gap between a rotor and a stator, using two different rotation rates. Refined Large-Eddy Simulation results, using the WALE model Nicoud & Ducros (1999), hold for reference data, whereas the efficiency of a RANS model, the Elliptic Blending Reynolds Stress Model (EB-RSM) (Manceau & Hanjali, 2002; Manceau, 2005), and a hybrid RANS/LES method, the so-called "Equivalent DES" (Manceau et al., 2010; Friess & Manceau, 2012) is studied.
Inhibition in Cell Activation and Therapeutic The Role of Intermediary Domain of MyD88

Adaptor MyD88 has a pivotal role in TLR and IL-1R signaling and is involved in mediating excessive inﬂammation. MyD88 is composed of a death domain and a Toll/IL-1R domain connected by an intermediary domain (INT). The alternatively spliced form of MyD88 lacking the INT prevents signaling through MyD88-dependent TLRs. We designed a peptide from the INT and showed that it inhibits TLR4 activation by LPS when linked to a cell-penetrating peptide. As a new approach for the delivery of signaling-inhibitory peptides, INT peptide acylation also provided efﬁcient cell translocation and inhibition of activation. We determined that INT peptide targets IL-1R–associated kinase 4. Furthermore, MyD88 mutant and molecular modeling reﬁnes the MyD88– IL-1R– associated kinase 4 interaction model based on the Myddosome structure. In addition to TLR4, INT peptide also inhibited TLR5, TLR2, TLR9, and IL-1R signaling but not TLR3, which uses Toll/IL-1R domain-containing adapter inducing IFN- b signaling adaptor. Inhibition of signaling in murine and human cells was observed by decreased NF- k B activation, cytokine mRNA synthesis, and phosphorylation of downstream kinases. In the endotoxemic mouse model, INT peptide suppressed production of inﬂammatory cytokines and improved survival, supporting therapeutic application of INT peptides for the suppression of inﬂammatory conditions mediated by MyD88. The Journal of Immunology , 2011, 187: 000–000.
Inter-user Interference in Adjacent Wireless Body Area Networks

The inter-user interference between wireless body area networks worn by two moving persons in an indoor environment at 60 GHz and 2.45 GHz is investigated experimentally. Both omni-directional antennas (monopoles) and directional antennas (horns) were used in the measurements. The interference power level variation and carrier-to-interference ratio were measured and characterized. Median interference power level reduction of nearly 20 dB was achieved in all measured channels by adopting 60 GHz radio transmissions compared to 2.45 GHz, both with omni-directional on-body antennas. A further 20 dB of interference level reduction was achieved at 60 GHz by adopting directional antennas con ning the radiated wave along the body surface. Level crossing rates for interference power variation using omni-directional antennas range from 2.77.2 s 1 at 2.45 GHz and 3264 s 1 at 60 GHz for static to progressively more dynamic links, whereas the corresponding range using 60 GHz directional antennas is reduced to 3954 s 1. The median improvement in the instantaneous carrier-to-interference ratio for the chest-head channel between 60 GHz and 2.45 GHz was approximately 30 dB. The measured interference power level and carrier-to-interference ratio, in dB, were found to satisfactorily t the normal distribution according to the normalized root mean square error based t metric. Wireless body area network, interference, 60 GHz, carrierto-interference ratio, body movements.
Analysis and synthesis of sound fields

The main goal of this PhD thesis is to reproduce as accurately as possible a sound field recorded by a microphone array with a loudspeaker array. To achieve this goal, we have made a complete study of harmonic and integral sound field representations. Then, we propose new sound field analysis and synthesis algorithms, which use the plane wave representation. The proposed analysis uses a beamforming algorithm which gives an analytical solution to the problem of the minimization of spatial aliasing. The optimization of the microphone array geometry is also discussed. The synthesis algorithm is a flexible multichannel equalization algorithm that reduces traditional artifacts such as pre-echo and post-echos. Finally, the efficiency of our approach for analysis and synthesis is demonstrated through simulations and validated by manipulations.
Comparison between 18F-FDG-PET- and CT-based criteria in non-small cell lung cancer (NSCLC) patients treated with Nivolumab

Due to their peculiar mechanism of action, the evaluation of radiological response to immune checkpoint inhibitors (ICI) presents many challenges in solid tumors. We aimed to compare the evaluation of first response to Nivolumab by means of CT-based criteria with respect to fluorodeoxyglucose positron emission tomography (FDG-PET) response criteria in non-small-cell lung cancer (NSCLC) patients. Methods. 72 patients with advanced NSCLC were recruited in a mono-institutional ancillary trial within the expanded access program (EAP; NCT02475382) for Nivolumab. Patients underwent CT scan and FDG-PET at baseline and after 4 cycles (first evaluation). In case of progressive disease (PD), an additional evaluation was performed after two further cycles in order to confirm progression. We evaluated the response to treatment with CT scan by means of response evaluation criteria in solid tumors (RECIST) 1.1 and Immuno-related Response Criteria (IrRC) and with FDG-PET by means of PERCIST and immunotherapy-modified-PERCIST (imPERCIST) criteria. The concordance between CT- and PET-based criteria and the capability of each method to predict overall survival (OS) were evaluated. Results. 48/72 patients were evaluable for first response assessment with both PET- and CT-based criteria. We observed low concordance between CT- and PET-based criteria (Kappa value of 0.346 and 0.355 and Kappa value of 0.128 and 0.198 between PERCIST and imPERCIST versus RECIST and irRC respectively). Looking at OS, IrRC were more reliable to distinguish responders from non-responders. However thanks to the prognostic value of partial metabolic response assessed by both PERCIST and Immuno-PERCIST, PET-based response maintained prognostic significant in patients classified as progressive disease on the basis of irRC . Conclusion. Even though the present study did not support the routine use of FDG-PET in the general population of NSCLC patients treated with ICI, it suggests the added prognostic value of the metabolic response assessment, potentially improving the therapeutic decision-making. to compare with post-treatment examinations in complex cases potentially improving the therapeutic decision-making.
Sustainable forest management for smallholder farmers in the Brazilian Amazon: The experience of the Pedro Peixoto Settlement Project

The paper describes a forest management system to be applied on smallholder farms, particularly on settlement projects in the Brazilian Amazon. The proposed forest management system was designed to generate a new source of family income and to maintain forest structure and biodiversity. The system is new in three main characteristics: the use of short cycles in the management of tropical forests, the low harvesting intensity and environmental impact, and the direct involvement of the local population in ali forest management activities. It is based on a minimum felling cycle of ten years and an annual timber harvest of 5-10 m 3 ha'.
Hybrid Microgrid based on PID Controller with the Modified Particle Swarm Optimization

Microgrids (MG) are distribution networks encompassing distributed energy sources. As it obtains the power from these resources, few problems such as instability along with Steady-State (SS) issues are noticed. To address the stability issues, that arise due to disturbances of low magnitude. Small-Signals Stability (SSS) becomes mandatory in the network. Convergence at local optimum is one of the major issues noticed with the existing optimization algorithms. This paper proposes a detailed model of SSS in Direct Current (DC)-Alternate Current (AC) Hybrid MG (HMG) using Proportional Integral and Derivative Controller (PIDC) tuned with Modified Particle Swarm Optimization (MPSO) algorithm to alleviate such issues. The power is extracted from Renewable Energy Resources (RER), such as Photovoltaic (PV), Micro-Hydro (MH), and Wind Energy Conversation System (WECS). For tracking the power more efficiently, Maximum Power Point Tracking (MPPT) techniques are employed. Boost Converters (BC) are used and inverters are employed to convert DC to the AC. Here, the power flow is managed by the PIDC. If the Firing Angle (FA) is not properly determined, it results in instability and steady-state stability issues. To address this, the optimum tuning parameters are chosen for PIDC, by utilizing the MPSO. Finally, through experimentation analysis, the proposed system’s performance is analyzed and compared with the existing algorithms and validated.
Advance Publication by J-STAGE Genes & Genetic Systems

21 Proteins belonging to the sigma factor family in eubacteria initiate transcription by 22 associating with RNA polymerase. A subfamily, the extracytoplasmic function (ECF) 23 sigma factors, which form a widely distributed bacterial signal transduction system 24 comprising a sigma factor and a cognate membrane-embedded anti-sigma factor, 25 regulates genes in response to stressors that threaten cell envelope integrity including 26 the cell wall and membrane. The Gram-positive soil bacterium Bacillus subtilis 27 provides a valuable model for investigation of the ECF sigma factors. This review 28 focuses on the function and regulation of ECF sigma factors in B . subtilis , in which 29 anti-sigma factors play a role in connecting an external stimulus with gene regulation. 30 As representative examples, the regulon and regulatory mechanism of  W are closely 31 associated with membrane-active stressors, whereas  M is strongly induced by 32 conditions that impair peptidoglycan synthesis. These studies demonstrate that the 33 mechanisms of ECF-dependent signaling are divergent and constitute a multi-layered 34 hierarchy, and provide useful insights into the elucidation of unknown mechanisms 35 related to ECF sigma
Surveillance Rover: The Future of Defense

- Surveillance robots prove to be advantageous in defensive environment.This project providesreal-time surveillance at hazardous terrain and borderlineby means of versatile robot based on Lab VIEW software,for safeguarding the frontier. It works in real-world environment and no conditioned scenario is required by it. Variousperipherals like vision camera for live system tracking, inductive proximity formetal detection and radar for obstacledetection are implemented.
Multiagent-based Layout System for a Pressurized Logistics Carrier in H-IIA Transfer Vehicle

This paper applies the concept of a multiagent approach to a cargo layout system in an H-IIA Transfer Vehicle (HTV) pressurized logistic carrier, and investigates how its layout system addresses the following critical issues in space applications: (1) performance and (2) robustness. Through intensive simulations, we have revealed the following implications: (1) the multiagent-based cargo layout system has potential for finding good satisfied solutions within a few seconds, which results in a high system performance; and (2) the proposed system can maintain or improve its performance even if the quantity and weight of the cargo is changed, which indicates the robustness of the system.
New Simultaneous Strategies for Pressure Sensitive Adhesion and Drug Delivery Action by Dynamic Chitosan-Snail Shell based Bionanocomposite Thin-Film Nanogel

A novel dynamic Chitosan (CS)-Snail shell based bionanocomposite Thin Film Nanogels (TNG)s were developed and optimized in order to obtain films possessing the optimal functional properties (flexibility, resistance, and bio-adhesion) to be applied on skin. The functionalization of CS was designed 2-Hydroxyethyl Methacrylate (HEMA) and Acrylic Acid (AA) onto CS via redox initiator system of Ammonium Persulfate (APS) and complex catalyst CuSO4/ glycine (1:1) in the presence of foaming agent sorbitol was designed. The CS-g-P(HEMA-co-AA)/snail shell a novel thin film was prepared from the combination of CS-g-P (HEMA-co-AA) polymers with the modified snail shell, (nano-CaO) as a nanofiller, then the so prepared CS-g-P(HEMA-co-AA)/nano-CaO nanogel thin film is used to encapsulate active compounds in drug release systems. TNGs was done by FT-IR, XRD, TGA, and FESEM. In addition to their in vitro drug release study in pH progressive media, TNGs are potentially suitable for use as Pressure-Sensitive Adhesives (PSAs) and super absorbents exhibiting good biodegradability.
High Dimensional Modelling and Simulation with Asymmetric Normal Mixtures

A family of multivariate distributions, based on asymmetric normal mixtures, is introduced in order to model the dependence among insurance and financial risks. The model allows for straight-forward parameterisation via a correlation matrix and enables the modelling of radially asymmetric dependence structures, which are often of interest in risk management applications. Dependence is characterised by showing that increases in correlation values produce models which are ordered in the supermodular order sense. Explicit expressions for the Spearman and Kendall rank correlation coefficients are derived to enable calibration in a copula framework. The model is adapted to simulation in very high dimensions by using Kronecker products, enabling specification of a correlation matrix and an increase in computational speed.
THE “COMMUNICATION SEMIOSIS” OF ADVERTISING: AN INNOVATIVE STRATEGY OF OPTIMIZATION

Using innovation in advertising represents a strategic decision that brand owners and advertisers make in order to grow and even survive on a competing market. In advertising, innovation manifests through creativity, a concept we will develop in this paper, in order to understand the semiotic implications of using creativity. As it is presented in this paper, scholars consider that creativity/innovation has a positive impact on ad effectiveness, encouraging ad processing and creating the context of a semiotic interpretation. From the semiotic point of view, creativity may though imply risks of interpretation due to some identified factors.
Large-scale traces of Solar system cold dust on cosmic microwave background anisotropies

We explore the microwave anisotropies on large angular scales produced by the emission from cold and large dust grains, expected to exist in the outer parts of the Solar system, using a simple toy model for this diffuse emission. Its amplitude is constrained in the far–IR by the COBE data and is compatible with simulations found in the literature. We analyse the templates derived after subtracting our model from the WMAP ILC 7-yr maps and investigate on the cosmological implications of such a possible foreground. The anomalies related to the low quadrupole of the angular power spectrum, the two-point correlation function, the parity and the excess of signal found in the ecliptic plane are signiﬁcantly alleviated. An impact of this foreground on some cosmological parameters characterizing the spectrum of primordial density perturbations, relevant for on-going and future cosmic microwave background anisotropy experiments, is found.