Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the Role of Test and Evaluation in the Acquisition Process to Increase the Probability of the Delivery of Equipment that Meets the Needs of the Users 1

Test and Evaluation (T&E) is becoming increasingly important in the current acquisition paradigm as a way to ensure that the military equipment user receives equipment that conforms to its requirements. However, T&E really has several different roles: ￻ Testing – determines the degree of non-conformance to requirements of “as-delivered” equipment. ￻ Evaluation - determines the capability of "as-delivered" or “as-built” equipment. In recent times, recognizing that the documented requirements do not generally represent the true needs of the user, the T&E role has expanded itself to attempt to ensure that “as-delivered” equipment meets the needs of the user. This paper discusses the reasons for, the differences between, and how modern quality theory, Information Technology and Knowledge Management, can improve the various roles of T&E.
Distributed Transactive Framework for Congestion Management of Multiple-Microgrid Distribution Systems

The privatization of distribution systems has resulted in the development of multiple-microgrid (multiple-MG) systems where each microgrid independently operates its local resources. Moreover, the high integration of independent distributed energy sources could lead to operational issues such as grid congestion in future distribution systems. Therefore, this paper provides a transactive-based energy management framework to operate multiple-MG distribution systems; while, alleviating grid congestion in a decentralized manner. In this respect, alternating direction method of multipliers (ADMM) is considered to develop an operational framework that copes with distributed nature of multiple-MG systems. In this context, a novel procedure in the context of ADMM is proposed to distributedly determine transactive coordinator signals which address energy prices as well as power losses and grid congestions. Furthermore, each MG takes into account stochastic programming and the conditional value-at-risk index to handle the uncertainty of its operational scheduling. At last, the proposed framework is applied on IEEE 37-bus and 123-bus test grids to investigate its efficacy in distributed energy management of multiple-MG systems.
Alzheimer’s Disease: Current Perspectives and Advances in Physiological Modeling

Though Alzheimer’s disease (AD) is the most common cause of dementia, complete disease-modifying treatments are yet to be fully attained. Until recently, transgenic mice constituted most in vitro model systems of AD used for preclinical drug screening; however, these models have so far failed to adequately replicate the disease’s pathophysiology. However, the generation of humanized APOE4 mouse models has led to key discoveries. Recent advances in stem cell differentiation techniques and the development of induced pluripotent stem cells (iPSCs) have facilitated the development of novel in vitro devices. These “microphysiological” systems—in vitro human cell culture systems designed to replicate in vivo physiology—employ varying levels of biomimicry and engineering control. Spheroid-based organoids, 3D cell culture systems, and microfluidic devices or a combination of these have the potential to replicate AD pathophysiology and pathogenesis in vitro and thus serve as both tools for testing therapeutics and models for experimental manipulation.
Shear Strength of Reinforced Concrete Beams after Fire

In order to research the calculation method of shear capacity for fire-damaged reinforced concrete (RC) beams, the reason of drop of shear capacity was analyzed from material properties and transfer mechanisms of RC beams after fire. Formulas of shear capacity were suggested for fire-damaged RC beams. Based on test analysis, the values of reduction factors of shear capacity were proposed under concentrated load. The results show that suggested calculation method is capable of predicting shear capacity of fire-damaged RC beams exactly. The values of reduction factors of shear capacity need further experiments research.
Wind-driven rain on buildings facades: some perspectives

In the past 70 years, considerable advances have been made in wind-driven rain (WDR) research in building engineering. Experimental, semi-empirical and numerical simulation methods have been developed and applied to assess the amount of WDR impinging on building facades. Each of these methods has been combined with hygrothermal simulation models to determine the uptake of WDR water by porous building materials, and these models have become standard evaluation tools for building facade performance and durability. Several state-of-the-art rain penetration testing facilities have been developed and applied. In spite of these achievements, considerable challenges remain. Semi-empirical methods are often not accurate enough to capture the complexity of WDR. Numerical simulation based on Computational Fluid Dynamics (CFD) has hardly been explored beyond the case of the isolated building model. Little is known about the contact and surface phenomena that can occur at raindrop impact. More information is also needed on rain penetration mechanisms. At present, research efforts are focusing on at least these four research tracks. The complexity of WDR ensures they will continue to do so for a considerable time in the future.
A decision model for self‐assessment of business process based on the EFQM excellence model

In response to the criticism on the measurement system of self‐assessment against the European Foundation for Quality Management (EFQM) model, this paper reports the development of a more scientific and accurate scoring method. The decision model constructed has focused on the “processes” criterion of the EFQM model and can perform three main tasks: to score the self‐assessment submission document; to identify strengths and areas for improvement; and to simulate different scenarios for improvement planning. The model was implemented and tested using two award simulation documents from an electricity distribution utility and a water‐supply company. The results for one of the companies are reported and analysed in this paper. The analysis of the results has proved the reliability and accuracy of the new model. Using the decision model, two systematic methods were developed to identify strengths and areas for improvement and the findings are reported. The model's ability to link self‐assessment with the strategic‐planning process is also commented upon.
Dairy Lactic Acid Bacteria and Their Potential Function in Dietetics: The Food–Gut-Health Axis

Fermented dairy products are the good source of different species of live lactic acid bacteria (LAB), which are beneficial microbes well characterized for their health-promoting potential. Traditionally, dietary intake of fermented dairy foods has been related to different health-promoting benefits including antimicrobial activity and modulation of the immune system, among others. In recent years, emerging evidence suggests a contribution of dairy LAB in the prophylaxis and therapy of non-communicable diseases. Live bacterial cells or their metabolites can directly impact physiological responses and/or act as signalling molecules mediating more complex communications. This review provides up-to-date knowledge on the interactions between LAB isolated from dairy products (dairy LAB) and human health by discussing the concept of the food–gut-health axis. In particular, some bioactivities and probiotic potentials of dairy LAB have been provided on their involvement in the gut–brain axis and non-communicable diseases mainly focusing on their potential in the treatment of obesity, cardiovascular diseases, diabetes mellitus, inflammatory bowel diseases, and cancer.
Multi-Source Fusion Power Quality Monitoring and Analysis Application System

There is a restriction on the development of power quality monitoring software for lacking of corresponding technical specification and uniform systematic planning. In this thesis, the concept of supporting platform of power quality monitoring and analysis system is posed and the supporting platform provides data service, report work, authority management, alarm service, authority management, communication service and other public services; abiding by the advocacy of IEC 61970 Standard, the system applies CORBA component technology inside and outside the system and realizes the “plug and play” of public services and applications. Through the standardized public communication service module, the data interaction with other power quality monitoring software, PMS system, DMS/EMS system and other third-party systems is completed and the multi-angle and deep power quality analysis are conducted based on multi-source information fusion technology and the power quality analysis and evaluation, harmonic source location, power quality warning, management decision support and other intelligent analysis application are realized.
Smart Machines with Flexible Rotors

The concept of smart machinery is of current interest. Several technologies are relevant in this quest including magnetic bearings, shape memory alloys (SMA) and piezoelectric activation. Recently a smart bearing pedestal was proposed based on SMAs and elastomeric O-rings. However, such a device is clearly relevant only for the control of rigid rotors; for flexible rotors there is a need for some modification on the rotor itself. In this paper, equations of motion are developed to describe a rotor with a force generator (for example, a piezoelectric element) mounted on it. It is shown that such a system may be used to compensate for imbalance by inducing a rotor bend. This leads to some questions as to the optimum control strategies, and the paper discusses some of the possibilities.
SiGe BiCMOS manufacturing platform for mmWave applications

TowerJazz offers high volume manufacturable commercial SiGe BiCMOS technology platforms to address the mmWave market. In this paper, first, the SiGe BiCMOS process technology platforms such as SBC18 and SBC13 are described. These manufacturing platforms integrate 200 GHz fT/fMAX SiGe NPN with deep trench isolation into 0. 18μm and 0. 13μm node CMOS processes along with high density 5.6fF/μm2 stacked MIM capacitors, high value polysilicon resistors, high-Q metal resistors, lateral PNP transistors, and triple well isolation using deep n-well for mixed-signal integration, and, multiple varactors and compact high-Q inductors for RF needs. Second, design enablement tools that maximize performance and lowers costs and time to market such as scalable PSP and HICUM models, statistical and Xsigma models, reliability modeling tools, process control model tools, inductor toolbox and transmission line models are described. Finally, demonstrations in silicon for mmWave applications in the areas of optical networking, mobile broadband, phased array radar, collision avoidance radar and W-band imaging are listed.
Board-to-board optical interconnection using novel optical plug and slot

A novel optical PCB with transmitter/receiver system boards and optical bakcplane was prepared, which is board-to-board interconnection by optical plug and slot. We report an 8Gb/s PRBS NRZ data transmission between transmitter system board and optical backplane embedded multimode polymeric waveguide arrays. The basic concept of ETRI's optical PCB is as follows; 1) Metal optical bench is integrated with optoelectronic devices, driver and receiver circuits, polymeric waveguide and access line PCB module. 2) Multimode polymeric waveguide inside an optical backplane, which is embedded into PCB. 3) Optical slot and plug for high-density(channel pitch : 500um) board-to-board interconnection. The polymeric waveguide technology can be used for transmission of data on transmitter/ receiver system boards and for backplane interconnections. The main components are low-loss tapered polymeric waveguides and a novel optical plug and slot for board-to-board interconnections, respectively. The optical PCB is characteristic of low coupling loss, easy insertion/extraction of the boards and, especially, reliable optical coupling unaffected from external environment after board insertion.
Multi-Element Winglets: Multi-Objective Optimization of Aerodynamic Shapes

The wing tip device in this study was to mimic the wing tips of a soaring bird, featuring three smoothly blended elements. Each such multi-element winglet was integrated into a complete wing–tail–body aircraft configuration. The geometry of each of the three elements in the multi-element winglet was defined using 11 parameters, totaling 33 parameters for a complete multi-element winglet geometry. This design methodology used a three-dimensional geometry generation algorithm based on locally analytical smoothly connected surface patches, allowing for the creation of vastly diverse three-dimensional geometries with a minimal number of specified design parameters. A three-dimensional, compressible, turbulent flow, steady-state analysis was performed using a Reynolds-averaged Navier–Stokes solver on each configuration to obtain the objective function values. Each configuration was analyzed at a freestream Mach number of 0.25 and at an angle of attack of 11 deg to mimic the takeoff conditions of a passenger ai.
Sustainability: Waste minimization, green chemistry and inherently safer processing

Webster's New Collegiate Dictionary defines sustainable as “maintain, or cause to continue, in existence or a certain state. ” The word “sustainable” is now used to define a world that is able to “maintain in existence” all life that now exists. To attain that goal, human activities will need to change. Waste Minimization, Green Chemistry, and Inherently Safer Processes all seek to manufacture chemicals in an environmentally sustainable way by reducing waste generation, minimizing the impact of chemicals and chemical processes on the environment and the public, and minimizing any hazards to the workers. In this paper, we discuss the synergies among these concepts. The three disciplines must better coordinate their efforts to capitalize on the total teachings, develop and retrofit manufacturing processes using the best technologies, and ensure the highest return projects. In the end, the ultimate chemical process will produce a non-toxic, recyclable or easily biodegradable product that meets society's needs, produces no waste, is inherently safer, and uses renewable feed materials.
FACTORS AFFECTING CONTRACTORS' RISK OF COST OVERBURDEN

Cost overruns create a significant financial risk to both contractors and owners. However, in spite of the risks involved the history of the construction industry is full of projects that were completed with significant cost overruns. Contractors used to be able to cover their cost overburdens with their markups. However, with diminishing markups, even marginal cost overburdens can easily wipe out their profits and even lead to a financial overburden. Therefore, contractors need to identify major risk sources causing cost overburdens in advance to be proactive in managing them. This paper reviews and describes uncontrollable risk sources that affect the contractor’s risk of cost overburden. Sources of these risks relate to factors affecting the cost estimate and the final cost of a project and include factors specific to the cost estimator, the project design, construction, and the project environment. The paper describes each of these factors in detail and gives specific examples based on a survey of the relevant literature.
Fuzzy approach to dimensioning the navigational safety in maritime transport

The safety of ships involved in the process of transport is one of the most important criteria in the maritime transport. Important factors making up the safety include the technical efficiency of the ship, the qualifications of the people in charge of the ship and the conditions under which the transport process takes a place. The paper focuses on the problems significant and characteristic to the ship traffic safety under uncertainty conditions. The ship safety at supervised traffic requires continuous identification of the navigational situation. Very often safety assessment of the traffic situation is made by examining the relative positions of vessel’s domains. A limitation is that under uncertainty conditions and more than two vessels we have to take into consideration dynamic domains according to the situations of conflicts, which is rather difficult to analyse. One way to assess the traffic safety approximation is analysis of the potentially conflicting situation. Safety in maritime transport can be analysed at the micro level (safety of the ship, the safety of navigation in specific situation mobility) and in terms of macro models (evaluation over time). In the article some problems of fuzzy description of traffic safety in maritime transport are presented. Basic definitions and a stochastic approach to concept of traffic safety in transport are given. The fuzzy approach to stochastic method of dimensioning traffic safety, useful in dynamic traffic control, is proposed.
Implementation and Validation of an Adaptive Fuzzy Logic Controller for MPPT of PMSG-based Wind Turbines

To ensure the full benefits from wind generation systems, an effective maximum power point tracking (MPPT) technique should be implemented. In this article, an adaptive fuzzy logic controller (AFLC) is presented as a control methodology for producing the peak power from a permanent magnet synchronous generator (PMSG)-based wind turbine (WT). Regardless of the importance and significance of modeling and simulation processes, experimental studies occupy the most important aspect and remain a big challenge. The first part of this article is devoted to the simulation and modeling of PMSG along with the control system by MATLAB/Simulink® package to develop the control system. To justify the simulation results, experimental validation tests are presented under the same status of wind speed profile and run period. The experimental validation is conducted using the DSPACE DS1104 control board and is compared with simulation results. Moreover, for a realistic response, actual wind speed data is utilized in this research depending on measured data from Ras Ghareb wind farm in the Gulf of Suez, Egypt. The obtained results confirm the superiority of AFLC compared with fuzzy logic controller and conventional PI control schemes. In addition, good tracking with high accuracy is obtained regarding experimental and simulations results. Moreover, an evaluation indices are employed for WT performance based on gross system efficiency and integral of the absolute error (IAE). These indices are used to demonstrate the feasibility of the AFLC methodology compared with traditional approaches under the same wind turbine status.
Design of a new axially-laminated interior permanent magnet motor

The design of an axially-laminated interior permanent magnet motor drive optimised for its field-weakening performance is described. A 7.5 kW motor was built based on low-cost, flexible rubber-bonded ferrite magnet sheet. It achieved an extremely wide constant power speed range of greater than 7.5:1, in contrast to the 2.5:1 obtained both with an axially-laminated synchronous reluctance motor and a standard induction motor. The excellent field-weakening performance makes this type of motor a serious contender for applications such as machine-tool main spindle drives and traction. <<ETX>>
Palm Vein Identification Based on Vein Segmentation and Triplet Loss Function

In this article the new neural network algorithm for palm vein identification using the triplet loss function is proposed. The neural network model is based on the VGG16 architecture. The similarity learning problem instead of the classification problem is considered. The number of image classes is assumed to be unknown so at the output of the neural network the feature vector is obtained, and then for the pair of palm vein images the distance between them is calculated. Minimization of triplet loss function while training leads to the decrease in distances between the images of the same class, while the distances between the images of different classes increase. The neural network was trained using preprocessed and segmented images from CASIA multi-spectral palmprint image database. The use of segmentation information for palm vein recognition improves the recognition results. Experimental results demonstrate the effectiveness of the proposed method. The value of EER=0.0084 is obtained.
Sanitize It Yourself: Web-based molecular sanitization for machine-generated chemical structures

Many computer-aided drug design (CADD) methods using deep learning have recently been proposed to explore the chemical space toward novel scaffolds efficiently. However, there is a tradeoff between the ease of generating novel structures and the chemical feasibility of structural formulas. To overcome the limitations of computational filtering, we have implemented a web-based software in which users can share and evaluate computer-generated compounds. The web service is available at https://sanitizer.chemical. space/.
Effects of upstream two-dimensional hills on design wind loads: a computational approach

The paper describes a study about effects of upstream hills on design wind loads using two mathematical approaches: Computational Fluid Dynamics (CFD) and Artificial Neural Network (NN for short). For this purpose CFD and NN tools have been developed using an object-oriented approach and C++ programming language. The CFD tool consists of solving the Reynolds time-averaged Navier-Stokes equations and turbulence model using body-fitted nearly-orthogonal coordinate system. Subsequently, design wind load parameters such as speed-up ratio values have been generated for a wide spectrum of two-dimensional hill geometries that includes isolated and multiple steep and shallow hills. Ground roughness effect has also been considered. Such CFD solutions, however, normally require among other things ample computational time, background knowledge and high-capacity hardware. To assist the enduser, an easier, faster and more inexpensive NN model trained with the CFD-generated data is proposed in this paper. Prior to using the CFD data for training purposes, extensive validation work has been carried out by comparing with boundary layer wind tunnel (BLWT) data. The CFD trained NN (CFD-NN) has produced speed-up ratio values for cases such as multiple hills that are not covered by wind design standards such as the Commentaries of the National Building Code of Canada (1995). The CFD-NN results compare well with BLWT data available in literature and the proposed approach requires fewer resources compared to running BLWT experiments.
Multilayer power delivery network design for high-speed microprocessor system

In this paper, an efticient modeling method for arbitrary shaped multi-layer power distribution network is proposed based on the method of transmission line grid model. In addition, a pre-layout design approach for the high-speed microprocessor is proposed. For arbitraly-shaped multi-layer PCB stack up configuration as well as selection and placement of decoupling capacitors, an effective solution for reducing SSN and EMI is obtained by modeling and simulation of complete power distribution system.