Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordinated Charging of Electric Vehicles for Congestion Prevention in the Distribution Grid

Distributed energy resources (DERs), like electric vehicles (EVs), can offer valuable services to power systems, such as enabling renewable energy to the electricity producer and providing ancillary services to the system operator. However, these new DERs may challenge the distribution grid due to insufficient capacity in peak hours. This paper aims to coordinate the valuable services and operation constraints of three actors: the EV owner, the Fleet operator (FO) and the Distribution system operator (DSO), considering the individual EV owner's driving requirement, the charging cost of EV and thermal limits of cables and transformers in the proposed market framework. Firstly, a theoretical market framework is described. Within this framework, FOs who represent their customer's (EV owners) interests will centrally guarantee the EV owners' driving requirements and procure the energy for their vehicles with lower cost. The congestion problem will be solved by a coordination between DSO and FOs through a distribution grid capacity market scheme. Then, a mathematical formulation of the market scheme is presented. Further, some case studies are shown to illustrate the effectiveness of the proposed solutions.
Proactive Release of Antimicrobial Essential Oil from a “Smart” Cotton Fabric

Two temperature and pH responsive submicron hydrogels based on poly(N- methylenebisacrylamide), chitosan and β-cyclodextrines (PNCS/CD hydrogel) with varying poly(N-isopropylacrylamide) to chitosan ratios were synthesized according to a simplified procedure, reflecting improved stimuli responsive properties and excellent bio-barrier properties, granted by incorporated chitosan. Hydrogels were applied to cotton-cellulose fabric as active coatings. Subsequently, antimicrobially active savory essential oil (EO) was embedded into the hydrogels in order to develop temperature- and pH-responsive cotton-cellulose fabric with double antimicrobial activity, i.e., bio-barrier formation of chitosan along with the proactive release of savory EO at predetermined conditions. The influence of the hydrogels chemical composition on stimuli responsive and antibacterial properties were assessed. Both PNCS/CD hydrogels showed stimuli responsiveness along with controlled release of savory EO. The chemical composition of the hydrogels strongly influenced the size of the hydrogel particles, their temperature and pH responsiveness, and the bio-barrier forming activity. The increased concentration of chitosan resulted in superior overall stimuli responsiveness and excellent synergy between the antimicrobial activities of the hydrogel and released savory EO.
Third Workshop on Structure and Function of Large Arteries : Part II

The vascular wall is constantly subjected to a variety of mechanical forces in the form of stretch (tensile stress), due to blood pressure, and shear stress, due to blood flow. Alterations in either of these stresses are known to result in vascular remodeling, an adaptation characterized by modified morphology and function of the blood vessels, allowing the vessels to cope with physiological or pathological conditions. The processes involved in vascular remodeling include cellular hypertrophy and hyperplasia, as well as enhanced protein synthesis or extracellular matrix protein reorganization. In vitro studies using vascular cells have attempted to identify the mechanisms behind structural alterations. Possible pathways include ion channels, integrin interaction between cells and the extracellular matrix, activation of various tyrosine kinases (such as c-Src, focal adhesion kinase, and mitogen-activated protein kinases), and autocrine production and release of growth factors. These pathways lie upstream of de novo synthesis of immediate response genes and total protein synthesis, both of which are likely to be involved in the process of vascular remodeling. (Hypertension. 1998;32:338-345.)
Controller design for DFIG-based wind power generation using Zakian's framework

In this paper, a real power controller design for wind power generation has been conducted. The wind power station is assumed to be a type of doubly-fed induction generator (DFIG). Zakian's framework has been employed to maximize power output and to limit the system frequency negative impact, concurrently. Under fluctuation of wind speed in two-machine test system, the performances of the design controller are examined. Simulated test results show that the proposed method is effective.
Multi-monopole model of man for SAR evaluations

The paper introduces a multi-element model of man exposed to a radiation field for evaluating the local specific absorption rate (SAR) distributions. Use will be made of an assembly of constitutive elements representing a postured human subject. Based on the SAR dependence on frequency, two different equivalents of the exposed human body are proposed. For frequencies below human resonance, the irradiated body is assimilated to an interconnected multi-sphere electrode structure. Conversely, above human resonance, the human equivalent is envisaged being composed by a disconnected assembly of double-cone antennas surrounded by biological media. Simple formulas for the local SAR evaluation are derived accordingly
Hybrid Deep Neural Network Model for Remaining Useful Life Estimation

The paper proposes a Hybrid Deep Neural Network (HDNN) framework for remaining useful life (RUL) estimation for prognostic health management applications. The proposed HDNN framework is the first hybrid model designed for RUL estimation that integrates two deep learning architectures simultaneously and in a parallel fashion. More specifically, in contrary to the majority of existing data-driven prognostic approaches for RUL estimation, which are developed based on a single deep model and can hardly maintain satisfactory generalization performance across various prognostic scenarios, the proposed HDNN framework consists of two parallel paths (one based on Long Short Term Memory (LSTM) and one based on convolutional neural networks (CNN)) followed by a fully connected multilayer fusion neural network, which acts as the fusion center combining the outputs of the two paths to form the target RUL. The proposed HDNN framework is tested on the NASA commercial modular aero-propulsion system simulation (C-MAPSS) dataset. Our comprehensive experiments and comparisons with several recently proposed RUL estimation methodologies developed based on the same data-sets show that the proposed HDNN framework significantly outperforms all its counterparts in the complicated prognostic scenarios with increased number of operating conditions and fault modes.
Using Natural Antioxidants in Meat and Meat Products as Preservatives: A Review

| Lipid oxidation is one of the most important problems that decrease the shelf life of meat and meat products. Antioxidants are used to reinstate free radicals thereby retarding lipid oxidation, delay development of unpleasant-flavors, and improve color stability.Application of synthetic antioxidants to mitigate oxidative damage may consider unsafe for consumers. Furthermore, the recent growing in the understanding of the consumers about these hazards resulted in the replacement ofsynthetic antioxidants with natural bioactive compounds. Plant materials are rich sources of bioactive phenolic compounds; hence they can be an effective alternative to synthetic antioxidants. This review presents an overview regarding the new advances in the application of natural antioxidant compounds such as herbs, spices, fruits, plant essential oils and extracts in meat and meat products to improvetheir quality and shelf-life.
Inverse Kinematic modeling of a class of continuum bionic handling arm

This paper presents a development of Inverse Kinematic Model (IKM) of a class of Continuum Bionic Handling Arm (CBHA). The modeling approach is inspired from a model of a hyper-redundant backbone-based manipulator, combined with an optimal placement of the backbones. The latter is obtained using an optimization algorithm, based on a Sequential Quadratic Program (SQP). The main interest of developing such model is to design an autonomous control of the CBHA. The high number of Degrees of Freedom (DoF) present on the continuum structure of the CBHA, makes difficult the synthesis of the analytical IKM for the overall arm. To resolve this issue, it is proposed to assimilate the CBHA's behavior to that of a hyper-redundant robot manipulator. This robot is represented by a concatenation of hybrid (parallel and serial) vertebrae along the vertebral column or backbones of the CBHA. The combination of all these vertebra allows the reconstruction with optimal configuration of the real posture of the continuum arm inside its workspace, with only the knowledge of the Cartesian coordinates of the robot pose. Simulations and experimental validation of the model demonstrate the efficiency of the modeling approach for this class of CBHA.
Qualifying use case diagram associations

Object-oriented software engineering methodology defines systems requirements in the form of flow-oriented use cases. This OOSE process involves developing a formal problem description - a problem statement $then developing use cases to capture the functional requirements of a proposed system. According to the OOSE approach, use cases should be used throughout the entire development process. Thus, they play a major role in a project's analysis, design, testing, and implementation stages. Use cases have five key stakeholders namely customers, systems and business analysts, systems architects and developers, software testing and quality assurance engineers, and project managers. Conceptual use case diagrams that draw on critical analysis can enhance a project manager's ability to allocate medium-sized or large-scale development projects in a way that limits task duplication and functional overlaps
28. Particle detectors 1 28. PARTICLE DETECTORS....................... 2

28. PARTICLE DETECTORS . 2 28.1. Summary of detector spatial resolution, temporal resolution, and deadtime . 2 28.2. Photon detectors . 3 28.2. 1. Vacuum photodetectors . 5 28.2. 1.1. Photomultiplier tubes . 5 28.2. 1.2. Microchannel plates . 5 28.2. 1.3. Hybrid photon detectors . 6 28.2. 2. Gaseous photon detectors . 7 28.2. 3. Solid-state photon detectors . 7 28.3. Organic scintillators . 9 28.3. 1. Scintillation mechanism . 10 28.3. 2. Caveats and cautions . 11 28.3. 3. Scintillating and wavelength-shifting fibers . 12 28.4. Inorganic scintillators: . 13 28.5. Cherenkov detectors . 17 28.5. 1. Threshold counters . 19 28.5. 2. Imaging counters . 19 28.6. Cherenkov tracking calorimeters . 22 28.7. Gaseous detectors . 25 28.7. 1. Energy loss and charge transport in gases . 25 28.7. 2. Multi-Wire Proportional Chambers . 30 28.7. 3. Micro-pattern Gas Detectors . 34 28.7. 4. Time-projection chambers . 37 28.7. 5. Transition radiation detectors (TRD’s) . 41 28.7. 6. Resistive-plate chambers . 43 28.8. Silicon semiconductor detectors . 46 28.9. Low-noise electronics . 49 28.10. Calorimeters . 53 28.10. 1. Electromagnetic calorimeters . 54 28.10. 2. Hadronic calorimeters . 56 28.10. 3. Free electron drift velocities in liquid ionization sensors . 60 28.11. Superconducting magnets for collider detectors . 61 28.11.1. Solenoid Magnets . 61 28.11.2. Properties of collider detector magnets . 63
ATTRIBUTE-BASED ENCRYPTION SCHEME IN CLOUD COMPUTING USING EFFICIENT FILE HIERARCHY

- Cipher text-policy attribute-based encryption (CP-ABE) has been a preferred encryption technology to solve the challenging problem of secure data sharing in cloud computing. The shared data files generally have the characteristic of multilevel hierarchy, particularly in the area of healthcare and the military. However, the hierarchy structure of shared files has not been explored in CP-ABE. In this paper, an efficient file hierarchy attribute-based encryption scheme is proposed in cloud computing. The layered access structures are integrated into a single access structure, and then, the hierarchical files are encrypted with the integrated access Structure. The cipher text components related to attributes could be shared by the files. Therefore, both cipher text storage and time cost of encryption is saved. Moreover, the proposed scheme is proved to be secure under the standard assumption. Experimental simulation shows that the proposed scheme is highly efficient in terms of encryption and decryption. With the number of the files increasing, the advantages of our scheme become more and more conspicuous.
Brain-derived neurotrophic factor

Brain-derived neurotrophic factor (BDNF) is the most ubiquitous and intensively studied member of the family of neurotrophins in the CNS. The transcriptional regulation of BDNF is complex and involves both epigenetic control and transcription factors. BDNF is produced “on demand” in response to neuronal activity from a precursor pro-BDNF that is transported and processed via the secretory pathway. The effects of mature BDNF are mediated by the tropomyosin-related kinase B (TrkB, tyrosine kinase B) receptor, which triggers phosphorylation cascades that promote protein synthesis, axonal growth, dendritic maturation, use-dependent synaptic plasticity, and neuroprotection. In contrast, pro-BDNF binds to the common neurotrophin receptor p75NTR and promotes apoptosis. BDNF can also be released from microglia and may bidirectionally affect inhibitory neurotransmission in the CNS. Disturbances in epigenetic control, transport, or signaling by BDNF may contribute to a variety of neurologic and psychiatric disorders, including Alzheimer disease (AD), Huntington disease (HD), spinocerebellar ataxia type 6 (SCA6), neuropathic pain, Rett syndrome, and depression, schizophrenia, and drug addiction. There are several recent reviews on these subjects.1–20
Unfolding of DNA quadruplexes induced by HIV-1 nucleocapsid protein

The human immunodeficiency virus type 1 nucleocapsid protein (NC) is a nucleic acid chaperone that catalyzes the rearrangement of nucleic acids into their thermodynamically most stable structures. In the present study, a combination of optical and thermodynamic techniques were used to characterize the influence of NC on the secondary structure, thermal stability and energetics of monomolecular DNA quadruplexes formed by the sequence d(GGTTGGTGTGGTTGG) in the presence of K+ or Sr2+. Circular dichroism studies demonstrate that NC effectively unfolds the quadruplexes. Studies carried out with NC variants suggest that destabilization is mediated by the zinc fingers of NC. Calorimetric studies reveal that NC destabilization is enthalpic in origin, probably owing to unstacking of the G-quartets upon protein binding. In contrast, parallel studies performed on a related DNA duplex reveal that under conditions where NC readily destabilizes and unfolds the quadruplexes, its effect on the DNA duplex is much less pronounced. The differences in NC's ability to destabilize quadruplex versus duplex is in accordance with the higher ΔG of melting for the latter, and with the inverse correlation between nucleic acid stability and the destabilizing activity of NC.
Methods for power minimisation in modern VLSI circuits

The continued scaling of the CMOS technology has led us into the deep submicron regimes where design is not limited by the functionality on a chip but is constrained with its power consumption. In this paper, we present some widely used techniques for static and dynamic power minimisation in modern VLSI circuits. These techniques are applicable on the different stages of the system design, starting from technology level where designer is allowed to change technology parameters (transistor sizes, supply and threshold voltages) up to the top level which deals with the design's architectural variations. Along with the overview of power minimisation techniques, as an example, the circuit of binary divider was introduced and implemented in various families FPGAs to demonstrate technological as well as Placement and Routing (PAR) influence on total power consumption.
Hyperbaric oxygen after global cerebral ischemia in rabbits does not promote brain lipid peroxidation.

OBJECTIVE To determine whether hyperbaric oxygen administered immediately after global cerebral ischemia increases free radical generation and lipid peroxidation in the brain or alters neurophysiologic recovery. DESIGN Prospective, randomized, controlled trial. SETTING Animal research laboratory. SUBJECTS Adult male New Zealand white rabbits. INTERVENTIONS Anesthetized rabbits were subjected to 10 mins of global cerebral ischemia by infusing a mock cerebrospinal fluid into the subarachnoid space and increasing intracranial pressure equal to mean arterial pressure. Immediately upon reperfusion, one group of rabbits (n = 9) was treated with hyperbaric oxygen at 2.8 atmospheres absolute for 75 mins while the control group (n = 9) breathed room air for an equivalent period of time. At the end of the reperfusion period, oxyradical brain damage was determined by measuring brain levels of oxidized and total glutathione and free malondialdehyde. Neurophysiologic brain injury was assessed with cortical somatosensory evoked potentials. MEASUREMENTS AND MAIN RESULTS Both oxidized glutathione and the ratio of oxidized glutathione to reduced glutathione (total minus oxidized) were higher (p < .05) in the hyperbaric oxygen group, indicating that hyperbaric oxygen increased free radical generation. Nonetheless, brain malondialdehyde content, an index of lipid peroxidation, was similar (p > .05) in the two groups. Cortical somatosensory evoked potential recovery at the end of reperfusion was 50% higher (p < .05) in the hyperbaric oxygen-treated animals compared with controls. CONCLUSIONS Treatment with hyperbaric oxygen after ischemia increased the amount of oxygen free radicals in the brain. However, this increase in free radical generation was not associated with an increase in lipid peroxidation or a reduction in neurophysiologic recovery when measured after 75 mins of recirculation. These results suggest that hyperbaric oxygen administered immediately after global ischemia does not promote early brain injury.
The Role of Natural History Institutions and Bioinformatics in Conservation Biology

Natural history institutions (museums, herbaria, zoos, aquaria, etc. whether privately owned or existing in conjunction with universities) and the collections they house play a large role in documenting species diversity. Historically, these collections were a rich source of data that ultimately fueled developments in biogeography and systematics and provided the intellectual framework for conservation biology (MacArthur & Wilson 1967; Mayr & Diamond 2001). Collections have also been influential in the application and development of bioinformatic resources such as integrated digital collection databases (Chakrabarty 2010; Pyke & Ehrlich 2010). As we celebrate the 25th anniversary of Conservation Biology, I wish to highlight the roles natural history institutions and the bioinformatic resources they marshal play in conservation. Natural history institutions are positioned to benefit conservation biology in the future in three major ways: development and expansion of collection-based research projects and cultivation of the taxonomic expertise necessary to evaluate collection data; expansion of digitization of collections; and engagement of the public through new education and outreach programs.
Situation-based multi-target detection and tracking with laserscanner in outdoor semi-structured environment

This paper addresses the development of an anti-collision system (ACS) based on a laserscanner, for low speed vehicles running in cybercars scenarios. The ACS core is a multi-target detection and tracking system (MTDATS), which is able to classify several kind of objects and can be easily expanded to detect new ones. The MTDATS is composed by five modules: 1) scan segmentation; 2) situation based information integration; 3) object classification using a suitable voting scheme of several object properties; 4) object tracking using a Kalman filter that takes the object type to increase the tracking performance into account; 5) and a database with the objects being tracked at each interval of data processing. For each database object, the time to collision with the vehicle is computed. The worst case time-to-collision and the correspondent predicted impact point on the vehicle are sent to the path-following controller, which using this information provides collision avoidance behaviour.
Lessons Learned From Delivering Imara, an HIV/STI Risk Reduction Intervention for African American Girls in Juvenile Detention

A critical need exists for efficacious interventions to reduce sexual risk and sexually transmitted infections (STIs) among African American girls in juvenile detention. Adapting evidence-based interventions is one strategy for developing interventions that might protect detained African American girls from adverse sexual health outcomes. To support development and implementation of evidence-based HIV/STI prevention interventions for this population, this qualitative study describes lessons learned from delivering Imara, an adapted HIV/STI prevention intervention for detained African American girls. Program implementation includes one-on-one sessions in the detention facility that offer logistical advantages; provide intervention contact inside the facility, soon after release, and frequently thereafter; address STI treatment for girls and their sexual partners; tailor intervention content based on individual risk and learning needs; and identify and acknowledge girls’ competing priorities. These lessons are discussed in the context of challenges encountered and solutions for addressing the challenges, and in terms of the structure and content of the intervention. The lessons learned from delivering Imara exemplify the continuous process of adapting an existing intervention for a new population and setting.
Design of efficient coding and modulation for a Rayleigh fading channel

The design of a coding/modulation structure for digital communications over a Rayleigh fading channel, the structure of the corresponding decoder, and the error rate performance of the resulting system are considered. Emphasis is on the use of constant weight codes for constructing equal energy waveforms for transmission over the channel. The performance gains that are achieved by the integrated coding/modulation approach relative to conventional methods for obtaining diversity are illustrated via some examples. Of special interest is the use of a concatenated coding technique for forming codes of large distance and hence high diversity. A new decoding algorithm is applied to enable efficient decoding of the concatenated code. An example is included that shows a performance increase of several dB resulting from concatenation.
Random lifts of graphs: Independence and chromatic number

For a graph G, a random n‐lift of G has the vertex set V(G)×[n] and for each edge [u, v] ∈ E(G), there is a random matching between {u}×[n] and {v}×[n]. We present bounds on the chromatic number and on the independence number of typical random lifts, with G fixed and n→∞. For the independence number, upper and lower bounds are obtained as solutions to certain optimization problems on the base graph. For a base graph G with chromatic number χ and fractional chromatic number χf, we show that the chromatic number of typical lifts is bounded from below by const ⋅ \documentclass{article}\pagestyle{empty}\begin{document}$\sqrt{\chi/\log\chi}$ and also by const ⋅ χf/log2χf (trivially, it is bounded by χ from above). We have examples of graphs where the chromatic number of the lift equals χ almost surely, and others where it is a.s. O(χ/logχ). Many interesting problems remain open. © 2002 John Wiley & Sons, Inc. Random Struct. Alg. , 20, 1–22, 2002