Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Coordinated Fuzzy-PID Controller for Power System Considering Electric Vehicles

With penetration growing of renewable energy sources which integrated into power system have caused problems on grid stability. Electric Vehicles (EV) are one of the renewable energy sources that can bring significant impacts to power system during their charging and discharging operations. This article established a model of single machine infinite bus (SMIB) power system considering EV as a case study of load disturbance for power system oscillation. The objective of this research is to enhance stability and overcome the drawbacks of traditional control algorithms such as power system stabilizer (PSS), PID controller and fuzzy logic controller (FLC). The implementation’s effect of FLC parallel with PID controller (Fuzzy-PID) has been shown in this paper. The speed deviation (? ω) and electrical power (Pe) are the important factors to be taken into consideration without EV (only change in mechanical torque), EV with change in the mechanical torque and sudden plug-in EV. The obtained result by nonlinear simulation using Matlab/Simulink of a SMIB power system with EV has shown the effectiveness of using (Fuzzy-PID) against all disturbances.
How collaborative practices influence a global agricultural value chains’ capability to co-innovate

This study used an interpretative qualitative multi-case study approach. Three frameworks were chosen as the underpinning theoretical frameworks due to their emerging relevance: 1) Hansen and Nohria’s (2004) Four Barriers to Collaborative Advantage, to examine individual engagement; 2) Mohr and Nevin’s (1990) Communication Strategies to investigate communication practices; and 3) MacCormack et al’s (2007) Four Pillars of Collaborative Capabilities as a lens for chain architecture. These frameworks were also chosen explicitly for how they fit together for the purpose of addressing the research question. Participants were purposively sampled from three global agri-chains. Data were collected by interviewing 29 employees about their co-innovation projects and practices using convergent interviewing. Audio recordings were transcribed in N-Vivo for categorisation, coding and unitisation. Excel matrices and tables were used to draw conclusions and theory development. The collaborative chain participants showed greater willingness to collaborate and were better able to transfer tacit knowledge than the trading chain. The communication styles reported to be utilised in successful co-innovation projects were bi-directional, informal, indirect, transparent and face to face. None of the chains significantly organised their people, processes or platforms for collaboration however, the collaborative chains did take a programmed approach to co-innovation. The most significant contribution of this thesis is the proposed integrated model on how to establish co-innovation facilitators in global agri-chains. It is suggested that the collaborative practices influence co-innovation through three broad co-innovation facilitators: 1) strengthening chain relationships; 2) improving information exchange; and 3) creating a coinnovative environment.
CLARITY increases sensitivity and specificity of fluorescence immunostaining in long-term archived human brain tissue

Immunohistochemistry on archival human brains is often limited because several conditions arise that complicate the use for high-resolution fluorescence microscopy. In this study, we developed a novel clearing approach for immunofluorescence-based analysis of perfusion- and immersion-fixed post mortem human brain tissue, termed hCLARITY. hCLARITY is optimized for specificity by reducing off-target labeling and yields very sensitive stainings in human brain sections allowing for super-resolution microscopy with unprecedented imaging of pre- and postsynaptic compartments. Moreover, hallmarks of the Alzheimer’s disease were preserved with hCLARITY, and importantly classical DAB or Nissl stainings are compatible with this protocol. hCLARITY is extremely versatile as demonstrated by the use of more than 30 well performing antibodies and allows for de- and subsequent re-staining of the same tissue section, which is important for multi-labelling approaches, e.g., in super-resolution microscopy. Taken together, hCLARITY enables research of the human brain with highest sensitivity and down to sub-diffraction resolution and therefore has enormous potential for the investigation of local morphological changes, e.g., in neurodegenerative diseases. Striking Image / Graphical abstract Summary of the main advantages of hCLARITY. CLARITY was applied on human post mortem brain tissue in direct comparison to untreated sections (minus CLARITY). Owing to removal of lipids during the clearing with SDS and the resulting reduction in light scattering, cleared sections were less opaque. The denaturing effect of the detergent SDS most likely results in better accessibility of certain epitopes. The major benefits of hCLARITY were found in an increased sensitivity and specificity of antibodies for neuronal cells. The adapted hCLARITY protocol is compatible with staining techniques for confocal microscopy, super-resolution microscopy, and light microscopy.
Validation-driven protein-structure improvement

High-quality protein structure models are essential for many Life Science applications, such as protein engineering, molecular dynamics, drug design, and homology modelling. The WHAT_CHECK model validation project and the PDB_REDO model optimisation project have shown that many structure models in the Protein Data Bank can be improved by re-interpretation of the original experimental data. This thesis has added several methods to validate and optimise details of structure models including backbone angles, peptide conformations, Zinc binding sites and B-factors.
Dose Enhancement and Reduction in SiO and High- MOS Insulators

The effects of 10-keV X-rays and 400-keV end- point-energy bremsstrahlung X-rays on MOS capacitors with SiO or HfO gate dielectrics and Al and TaSi gate metallization have been studied using the Monte Carlo simulator, MRED. We compare these calculations with previous results in the literature obtained with other Monte Carlo and discrete ordinates codes, and with experiments on devices with SiO gate dielectrics, and find generally good agreement. There is a significant dose reduction in thin HfO layers exposed to 10-keV X-rays, when the HfO is surrounded by lower-Z materials (e.g., Si, Al). This dose reduction does not occur in a medium-energy bremsstrahlung X-ray envi- ronment; in that case, the dose in a HfO gate dielectric can be times higher than the dose in a SiO dielectric, for the same incident X-ray fluence. These results demonstrate the capability of MRED to assist in the evaluation of dose enhancement and reduction in regions including or nearby high-Z materials in microelectronic materials and devices.
A Trust-based Immune Strategy for File Pollution in P2P Networks

Focusing on the file pollution problem exists in unstructured P2P file sharing systems, we propose a strategy named TrustIs by combining the trust mechanism and the immune strategy of complex network to resist the propagation of polluted files. With the help of peer reputation, trusted immune peers and backup peers can be screened out. Also, the files and indices can be identified based on their object reputation and index reputation so as to provide reference for immune pees to filter out the polluted files or indices. Meanwhile, an immune token ring network is set up for monitoring peers’ behavior and implementing the refreshment of the immune resources. The results of the simulations show that TrustIs can effectively resist the propagation of polluted files.
Optimal SOC Reference Based Active Cell Balancing on a Common Energy Bus of Battery

This paper presents a study on the state-of-charge (SOC) reference based active cell balancing in real-time. The optimal references of SOC are determined by using the proposed active cell balancing system with the bidirectional DC/DC converters via the dual active bridge (DAB) type. Then, the energies between cells can be balanced by the power flow control of DAB based bidirectional DC/DC converters. That is, it provides the effective management of battery by transferring energy from the strong cell to the weak one until the cell voltages are equalized to the same level and therefore improving the additional charging capacity of battery. In particular, the cell aging of battery and power loss caused from energy transfer are considered. The performances of proposed active cell balancing system are evaluated by an electromagnetic transient program (EMTP) simulation. Then, the experimental prototype is implemented in hardware to verify the usefulness of proposed system.
Characterisation of the in-vivo terahertz communication channel within the human body tissues for future nano-communication networks

Body centric communication has been extensively studied in the past for a range of frequencies, however the need to reduce the size of the devices makes nano-scale technologies attractive for future applications. This opens up opportunities of applying nano-devices made of the novel materials, like carbon nano tubes (CNT), graphene and etc., which operate at THz frequencies and probably inside human bodies. With a brief introduction of nano-communications and review of the state of the art, three main contributions have been demonstrated in this thesis to characterise nano-scale body-centric communication at THz band: • A novel channel model has been studied. The path loss values obtained from the simulation have been compared with an analytical model in order to verify the feasibility of the numerical analysis. On the basis of the path loss model and noise model, the channel capacity is also investigated. • A 3-D stratified skin model is built to investigate the wave propagation from the under-skin to skin surface and the influence of the rough interface between different skin layers is investigated by introducing two detailed skin models with different interfaces (i.e.,3-D sine function and 3-D sinc function). In addition, the effects of the inclusion of the sweat duct is also analysed and the results show great potential of the THz waves on sensing and communicating. • Since the data of dielectric properties for biological materials at THz band are quite scarce, in collaboration with the Blizard Institute, London, UK, different human tissues such as skin, blood, muscle and etc. are planned to be measured with the THz Time Domain Spectroscopy (THz-TDS) system at Queen Mary University of London to enrich the database of electromagnetic parameters at the band of interest. In this chapter, collagen, the main constitution of skin was
Consumer search, transshipment, and bargaining power in a supply chain

We study a decentralised supply chain with one manufacturer and two symmetric retailers who could transship their excess inventory between each other. Without transshipment, the retailer’s unsatisfied customers search and buy the product at the other retailer with some probability. With transshipment, the retailer can transship the other retailer’s excess inventory to fulfil its own unmet demand. However, a transshipment price is often charged by one retailer for transshipping goods to another. We show the retailer’s profit is unimodal in the transshipment price, and the manufacturer’s profit increases in the customer search probability. Although the retailer’s preference over transshipment depends on the magnitude of search probability and transshipment price, the retailer may always prefer the transshipment no matter their magnitude. We then study the effect of bargaining power over the transshipment decision (whether to transship between retailers and at what transshipment price). Our analysis suggests that the manufacturer always prefers to control the transshipment price rather than to control whether to transship, while the retailer can prefer both. We also find that increasing bargaining power always benefits the manufacturer but could hurt the retailer. We finally check the robustness of our results by investigating the case with asymmetric retailers
Forecast Methods of Product Development Trends Based on Hierarchical Model

A new method to locate the current stage of product development was put forward.By this method,the direction of product improvement and future trends could be forecasted.A Hierarchical model of the development of consumers′ requirements and a mapping relationship between consumers′ requirements and product features were established.The product attributes were analyzed with Fuzzy cluster analysis.According to the result,the future trends of product could be forecasted.Finally,it is validated that the method can be well used through Strip attributes analysis.
RACE: One-sided RDMA-conscious Extendible Hashing

Memory disaggregation is a promising technique in datacenters with the benefit of improving resource utilization, failure isolation, and elasticity. Hashing indexes have been widely used to provide fast lookup services in distributed memory systems. However, traditional hashing indexes become inefficient for disaggregated memory, since the computing power in the memory pool is too weak to execute complex index requests. To provide efficient indexing services in disaggregated memory scenarios, this article proposes RACE hashing, a one-sided RDMA-Conscious Extendible hashing index with lock-free remote concurrency control and efficient remote resizing. RACE hashing enables all index operations to be efficiently executed by using only one-sided RDMA verbs without involving any compute resource in the memory pool. To support remote concurrent access with high performance, RACE hashing leverages a lock-free remote concurrency control scheme to enable different clients to concurrently operate the same hashing index in the memory pool in a lock-free manner. To resize the hash table with low overheads, RACE hashing leverages an extendible remote resizing scheme to reduce extra RDMA accesses caused by extendible resizing and allow concurrent request execution during resizing. Extensive experimental results demonstrate that RACE hashing outperforms state-of-the-art distributed in-memory hashing indexes by 1.4–13.7× in YCSB hybrid workloads.
Improving Event Extraction: Casting a Wider Net

Information extraction is the task of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents. One facet of information extraction is event extraction (EE): identifying instances of selected types of events appearing in natural language text. For each instance, EE should identify the type of the event, the event trigger (the word or phrase which evokes the event), the participants in the event, and (where possible) the time and place of the event. One EE task was defined and intensively studied as part of the ACE (Automatic Content Extraction) research program. The 2005 ACE EE task involved 8 types and 33 subtypes of events. For instance, given the sentence “She was killed by an automobile yesterday. ”, an EE system should be able to recognize the word “killed” as a trigger for an event of subtype DIE, and discover “an automobile” and “yesterday” as the Agent and Time arguments. This task is quite challenging, as the same event might appear in the form of various trigger expressions and an expression might represent different types of events in different contexts. To support the development and evaluation of ACE EE systems, the Linguistic Data Consortium annotated a text corpus (consisting primarily of news articles) vi
Behavior of the Limited-Memory BFGS Method on Nonsmooth Optimization Problems

The limited memory BFGS (Broyden-Fletcher-Goldfarb-Shanno) method, abbreviated L-BFGS, is widely used for large-scale unconstrained optimization, but its behavior on nonsmooth problems has received little attention. In this thesis we give the first convergence analysis of the L-BFGS method applied to nonsmooth functions. We focus on the simplest version of the method, sometimes known as memoryless BFGS, which uses just one update. L-BFGS can be used with or without “scaling”; the use of scaling is normally recommended. We consider a simple class of convex piecewise linear nonsmooth functions that are unbounded below. On this class of problems, we show that memoryless BFGS with scaling, using any Armijo-Wolfe line search and initialized at any point where the objective f is differentiable, generates iterates that converge to a non-optimal point, if a certain condition relating the Lipschitz constant of f to the line search Armijo parameter holds. We also present an analysis of the ordinary gradient method with the same line search applied to the same class of functions, giving conditions under which it fails. However, scaled memoryless BFGS fails under a weaker condition relating the Lipschitz constant of the function to the line search Armijo parameter than that implying failure of the gradient method. Furthermore, in sharp contrast to the gradient method, if a specific standard Armijo-Wolfe bracketing line search is used, scaled memoryless BFGS fails if the Lipschitz constant is sufficiently large regardless of the Armijo parameter. Our experimental results suggest that our analysis is tight on this class of functions, and that similar results likely hold for L-BFGS with any fixed number of updates. In contrast, the “full” BFGS method is remarkably effective for minimizing nonsmooth functions, but it is not a practical approach when the number of variables is large. v We also conduct extensive experiments applying L-BFGS, both scaled and unscaled, with various choices for the number of updates, on other convex nonsmooth functions, ranging from artificially devised, highly ill-conditioned nonsmooth problems to eigenvalue optimization problems that are equivalent to semidefinite programming problems arising from applications. We also apply L-BFGS to smoothed versions of these problems. We find that although L-BFGS is usually a reliable method for minimizing ill-conditioned smooth problems, when the condition number is so large that the function is effectively nonsmooth, L-BFGS consistently fails. This behavior is in sharp contrast to the behavior of full BFGS, which is consistently reliable for nonsmooth optimization problems. We arrive at the conclusion that, for large-scale nonsmooth optimization problems for which BFGS and other methods are not practical, it is far preferable to apply L-BFGS to a smoothed variant of a nonsmooth problem than to apply it directly to the nonsmooth problem.
Assessment of Guidelines for Conducting Round Robin Studies in Additive Manufacturing | NIST

INTRODUCTION There is strong demand in the additive manufacturing (AM) community for guidance in conducting round robin studies. This topic was one of the consensus-based priority action items identified in the Measurement Science Roadmap for Metals-Based Additive Manufacturing for accelerating widespread use of AM [1]. Further, ASTM International Committee F42 on Additive Manufacturing and the International Organization for Standardization (ISO) Technical Committee 261 on Additive Manufacturing identified in their Joint Plan for AM Standards Development the need for high-level round robin standards broadly impacting AM [2].
Demand Analysis of Poultry Products on Java

Indonesian Penggunaan metoda tobit dapat memecahkan masalah bias dan tidak konsisten dalam pendugaan yang menggunakan data konsumsi survey rumah tangga yang umumnya tidak semua responden mengkonsumsi komoditi tertentu. Disamping itu, perhitungan elastisitas harga atau pendapatan dari rumah tangga yang sudah mengkonsumsi komoditi tertentu dan elastisitas peluang rumah tangga untuk mengkonsumsi komoditi tersebut. Hasil pendugaan parameter permintaan ayam dan telur dengan menggunakan data SUSENAS 1987 menunjukkan bahwa perubahan konsumsi ayam dan telur dipengaruhi oleh perubahan pendapatan baik di kota maupun di desa. Dengan meningkatnya pendapatan masyarakat maka konsumsi ayam dan telur juga akan meningkat yang dampaknya konsumsi bahan makanan ternak seperti jagung dan kedelai juga akan meningkat. Sementara itu konsumsi jagung dan kedelai untuk makanan manusia juga masih sangat penting sehingga persaingan konsumsi kedelai dan jagung antara manusia dan ternak akan semakin tajam.
Variance estimation by jackknife method under two-phase complex survey design

The jackknife technique is applied to a general class of estimators, under two-phase sampling, for variance estimation. Considering a natural population, the performance of the weighted jackknife variance estimator has been compared with other variance estimators, including the unweighted jackknife variance estimator. A figure is included to clarify this comparison.
Artificial bee colony algorithm for inverter complex wave reduction under line-load variations

This paper describes the minimization of total harmonics in a single-phase sine wave voltage source inverter using a proportional–integral (PI) controller by estimating the optimized values of PI constants using an artificial bee colony (ABC) algorithm under line-load variations. The single-phase inverter is a non-linear load using power electronic components causing distortions in the load voltage and current wave patterns from the sinusoidal waveforms due to harmonics. A state variable analysis for the single-input–single-output (SISO) model of an inverter was developed by considering the switching sequence of a voltage source full bridge sine wave inverter. The ABC algorithm calculates the optimized values of the constants for the PI controller, thereby tuning the controller for reducing the total harmonics of an inverter. The MATLAB/Simulink tool and an experimental set-up were implemented, and their total harmonic distortion (THD) values were estimated. The outcomes of the proposed ABC scheme were compared with the previous results such as the PI algorithm, fuzzy logic controller, neuro-fuzzy controller, particle swarm optimization (PSO) and the bat algorithm. A practical example of the ABC algorithm is considered in the present harmonic reduction problem. From the simulation and experimental results using the ABC algorithm, it was observed that its harmonics levels were reduced considerably compared with IEEE and IEC standards.
L’adoption du Contrôle de Gestion à l'Hôpital Marocain : Explication par l'approche PLS

For many authors the adoption of management control by companies is justified by the positive correlation between the implementation of this system and the increase of the organizational performance of the company. In Morocco, a single study focused on understanding the determinants of the choice of implementation of management control in the Moroccan context (Ahsina K., 2012), that is why we had the idea of developing a conceptual model adapted to Moroccan public hospitals. As a result, our problem is as follows: What is the impact of the determinants of management control on the organizational performance of the Moroccan public hospital ? This article presents, in a first point a review of the literature and the formulation of research hypotheses, in a second point the research methodology and in a last point the results of the descriptive analysis of the research.
Design and optimization of a semi-active metacomposite for the control of acoustic interaction

Based on recent works on application of Floquet-Bloch theorem to periodical mechanical systems including frequency-dependent parameters, we propose in this paper an extension to vibroacoustic behavior analysis of smart structures. The objective is to optimize electronic circuits used to shunt some piezoelectric patches distributed on the structure, in order to minimize the acoustic radiation of the structure. The proposed approach is based on the computation of the multi-modal wave dispersion curves into the whole first Brillouin zone of the structure, and associated propagation characteristics in the acoustic fluid. The impedance of the shunt circuit is then optimized in order to render the acoustic waves evanescent.