Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive neural-network-based approach for the control of continuously stirred tank reactor

An online adaptive neural-network-based controller (OANNC) is developed in the paper. The detailed design procedures of the OANNC are given, along with an illustrative example of controlling a continuously stirred tank reactor. Simulation results show that the OANNC is successful in controlling nonlinear time-varying systems with slow dynamics. Compared with conventional neural-network controllers. The OANNC has the following advantages. First, it is capable of controlling nonlinear systems with time-varying parameters, which is not usually the case for a nonadaptive neural-network controller. Secondly, the selection of the initial training data set is trivial due to the online adaptive training ability of the neural network. Normally, for a conventional neural-network structure, the selection of an initial training data set is crucial, with the requirement that the training data set should be persistently exciting, which is quite difficult in many practical situations.
PROCEEDINGS OF THE HUMAN FACTORS SOCIETY-32nd ANNUAL MEETING4988 IMPROVING SWIMMING ,POOL WARNING SIGNS

The U.S. Consumer Product Safety Commission sponsored us to perform a human factors evaluation of existing swimming pool warning signs. Our study covered warnings which convey the messages "NO DIVING" and "WATCH CHILDREN". These warnings are particularly intended to reduce the incidence of diving accidents involvYng teenage boys and drowning accidents involving children under five; population groups that are over-represented in accident statistics. Our evaluation of twenty-two existing signs uncovered deviations from warning sign design principles and identified opportunities to improve each of the signs. Following the evaluation, we developed improved signs and tested them using teenage boys and mothers of young children as subjects. We then made final recommendations to the CPSC for improved signs.
A yaw-moment control method based on a vehicle's lateral jerk information

Previously, a new control concept called ‘G-vectoring control (GVC)’ to improve vehicle agility and stability was developed. GVC is an automatic longitudinal acceleration control method that responds to vehicle lateral jerk caused by the driver's steering manoeuvres. In this paper, a new yaw-moment control method, which generates a stabilising moment during the GVC command and has positive acceleration value and the driver's accelerator pedal input is zero, was proposed. A new hybrid control, which comprises GVC, electric stability control and this new control, was constructed, and it was installed in a test vehicle and tested on a snowy surface. The very high potential for improvement in both agility and stability was confirmed.
Investigation of the Conversion Process of Verdoheme Hydroxyl Iron (II) to Biliverdin Iron (II): Theoretical Study

Heme oxygenase (HO) is an enzyme that breaks down heme and as a result iron is recycled in most organisms, including the human body. This enzyme produces bilirubin, divalent iron, and carbon monoxide. Heme Oxygenase was first described in the late 1960s [1-3]. Study of the reaction of the peripheral substituents on the heme ring with verdohemes offers models that are not very well known. In this project, a computational study of destruction reaction of verdoheme iron (ii) was carried out and the role of lateral substitutionson its hydrolysis process was investigated. Theoretical calculations show that the rate of hydrolysis reaction is slower for complexes containing peripheral substitutions. On the other hand, hydrolysis of verdohemes non-environmental is a convenient parameter for energy. To better understand this process, theoretical calculations were performed using the DFT method. Calculations of the stability energy of the compounds showed that the higher the intermolecular interactions of hydrogen, the greater the stability of the compound. Also, the highest stability energy is related to compound D, which has more intermolecular interactions from type of the hydrogen bonds.
P 2 0 2 0 ) 8 7 8 ATLAS ITk pixel detector overview

For the HL-LHC upgrade the current ATLAS Inner Detector is replaced by an all-silicon system. The Pixel Detector will consist of 5 barrel layers and a number of rings, resulting in about 14 m2 of instrumented area. Due to the huge non-ionizing fluence (over 2 × 1016 neq/cm) and ionizing dose (larger than 5 MGy), the two innermost layers, instrumented with 3D pixel sensors (L0) and 100 `m thin planar sensors (L1) will be replaced after about 5 years of operation. All hybrid detector modules will be read out by novel ASICs, implemented in 65 nm CMOS technology, with a bandwidth of up to 5 Gb/s. Data will be transmitted optically to the off-detector readout system. To save material in the servicing cables, serial powering is employed for low voltage. Large scale prototyping programmes are being carried out by all sub-systems. This paper will give an overview of the layout and current status of the development of the ITk Pixel Detector.
Optimization of Compiled Code in the IR n Programming Environment

Despite substantial progress in the theory of interprocedural data ﬂ ow analysis, few practical compiling systems have applied such techniques to produce more ef ﬁ cient object programs. For a compiler to perform interprocedural analysis and optimization, it needs access to information about the entire program during the compilation of each procedure in the program. Imbedding the compiler in a programming environment simpli ﬁ es the task of ef ﬁ ciently providing this support. The compiling system in the IR n programming environment has been designed to optimize whole programs. This paper discusses the design of that compiler. It sketches the algorithms used to perform interprocedural analysis and discusses issues involved in constructing a practical interprocedural optimizer.
A Method for Calculating the Output Pressure Waveform from an Air Gun

Summary The signal from an air gun is assumed to behave as if it were derived from an oscillating spherical air bubble in water. The theory of the oscillations of spherical bubbles according to Gilmore is used in conjunction with experimental evidence to derive the complete set of equations necessary to calculate the shape of the radiated pressure waveform anywhere in the water. It is believed that this method will be useful in the design of signal processing techniques and also to improve the design of existing air gun profiling systems.
VRViewer: A Cloud-Based Virtual Reality Platform

The paper presents a flexible high-performance platform, called VRViewer, developed for supporting interactive Reality 3D, including Building service, Production service, and API service. Building service enables creation and management of contents of Reality 3D. Production service serves the published contents to client applications, and API service provides client applications a set of JavaScript APIs to embed Reality 3D Viewer and interact with VRViewer. With VRViewer, people without technical backgrounds can easily create, edit, and publish contents of Reality 3D. Applications based on the platform can greatly improve their user experience with flexibility and lower cost.
A Fuzzy Based Centralized Approach for Maintaining Node Connectivity with Fault Tolerance Scheme for Mobile Ad-hoc Networks

In this paper, one algorithm is proposed to maintain the topology of a MANET by suitably selecting 'Coordinator' among the nodes constituting the MANET. The basic philosophy behind the algorithm is to select 'Coordinator' amongst the network based on positional data and the energy level of nodes. Once elected, the 'Coordinator' is entrusted with the responsibility to control the movement of all other nodes. All the nodes transmit their positional information obtained through GPS and energy level periodically. After analyzing the data obtained from all other nodes, the 'Coordinator' directs all other nodes to control movement to keep the connected topology intact. This algorithm take care the fault to the 'Coordinator' also. Both the 'Coordinator' election and the movement algorithm is fuzzy logic based. We have simulated the algorithm in a number of synthetically designed situations and the results obtained through simulation prove the effectiveness of the algorithm.
Probiotics partially attenuate the severity of acute kidney injury through an immunomodulatory effect

Background A healthy microbiome helps maintain the gut barrier and mucosal immune tolerance. Previously, we demonstrated that acute kidney injury (AKI) provoked dysbiosis, gut inflammation, and increased permeability. Here, we investigated the renoprotective effects of the probiotic Bifidobacterium bifidum BGN4 and the underlying mechanisms thereof. Methods C57BL/6 mice were subjected to bilateral renal ischemia-reperfusion injury (IRI) or sham operation. In the probiotic-treated group, BGN4 was administered by gavage once daily, starting 2 weeks before injury. Results Administration of BGN4 significantly increased gut microbiome diversity and prevented expansion of the Enterobacteriaceae and Bacteroidetes that were the hallmarks of AKI-induced dysbiosis. Further, BGN4 administration also significantly reduced other IRI-induced changes in the colon microenvironment, including effects on permeability, apoptosis of colon epithelial cells, and neutrophil and proinflammatory macrophage infiltration. Mononuclear cells co-cultured with BGN4 expressed significantly increased proportions of CD103+/CD11c+ and CD4+ CD25+ Treg cells, suggesting a direct immunomodulatory effect. BGN4 induced Treg expansion in colon, mesenteric lymph nodes (MNL), and kidney. BGN4 also reduced CX3CR1intermediateLy6Chigh monocyte infiltration and interleukin (IL)-17A suppression in the small intestine, which may have attenuated AKI severity, kidney IL-6 messenger RNA expression, and AKI-induced liver injury. Conclusion Prior supplementation with BGN4 significantly attenuated the severity of IRI and secondary liver injury. This renoprotective effect was associated with increased Foxp3 and reduced IL-17A expression in the colon, MNL, and kidney, suggesting that BGN4-induced immunomodulation might contribute to its renoprotective effects. Probiotics may therefore be a promising strategy to reduce AKI severity and/or remote organ injury.
Micro-PIV and CFD studies show non-uniform wall shear stress distributions over endothelial cells

Wall shear stress acting on arterial walls is an important hemodynamic force determining vessel health. A parallel-plate flow chamber with a 127 μm-thick flow channel is used as an in vitro system to study the fluid mechanics environment. It is essential to know how well this flow chamber performs in emulating physiologic flow regimes especially when cultured cells are present. Hence, the objectives of this work are to computationally and experimentally study the characteristic of the flow chamber in providing a defined flow regime and shear stress to cultured cells and to map wall shear stress distributions in the presence of an endothelial cell layer. Experiments and modeling were performed for the nominal wall shear stresses of 2 and 10 dyn/cm2 . Without endothelial cells, the flow field is uniform over 95% of the chamber cross-section and the surfaces are exposed to the target stress level. Using PIV velocity data, the endothelial cell surfaces were re-constructed and flow over these surfaces was then simulated via FLUENT. Once endothelial cells are introduced, local shear variations are large and the velocity profiles are no longer uniform. Due to the velocity distribution between peaks and valleys, the local wall shear stresses range between 47–164% of the nominal values. This study demonstrates the non-uniform shear stress distribution over the cells is non-negligible especially in small vessels or where blockage is important.Copyright © 2010 by ASME
Automated methodology for optimal selection of the minimum electrode subset for accurate EEG source localization based on Genetic Algorithm optimization

High-density Electroencephalography (HD-EEG) has been proven to be the most accurate option to estimate the neural activity inside the brain. Although multiple studies report the effect of electrode number on source localization for specific sources and specific electrode configurations, the electrodes for each configuration have been manually selected to uniformly cover the entire head, going from 32 to 128 electrodes, where electrodes were not selected according to their contribution to accuracy. In this work, an optimization-based study aimed to determine the minimum number of electrodes and identify optimal combinations of electrodes that can keep the localization accuracy of HD-EEG reconstructions. This optimization approach incorporates scalp landmark positions of widely used EEG montages. In this way, a systematic search for the minimum electrode subset is performed for single and multiple source localization problems. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) combined with source reconstruction methods is used to formulate a multi-objective optimization problem that minimize (1) the localization error for each source and (2) the number of required EEG electrodes. It can be used for evaluating the source localization quality of low-density EEG systems (consumer-grade wearable EEG) We performed an evaluation over synthetic and real EEG dataset with known ground-truth. The experimental results shown that selected electrode combinations with 6 electrodes can obtain for a single source case, an equal or better accuracy than HD-EEG (with more than 200 channels) when reconstructing a particular brain activity in more than 88% of the cases (in synthetic signals) and 63% (in real signals), and more than 88% and 73% of the cases when considering combinations with 8 channels. For a multiple-source case of three sources (only with synthetic signals), it was found that an equal or better accuracy than HD-EEG with 231 electrodes was attained in at least 58%, 76%, and 82% of the cases, when using optimized combinations of 8, 12, and 16 electrodes, respectively. Additionally, in such electrode numbers a lower mean error and standard deviation than with 231 electrodes was obtained.
Earthquake Damage To Christian Basilica Churches: The Application Of An Expert System For The Preliminary In-plane Design Of Stone Masonry Piers

This paper summarizes observations and conclusions from a series of investigations on the seismic performance of stone masonry Christian basilica churches. A considerable number of these churches develops structural damage to the masonry walls-piers that arises from the amplitude of the gravitational and seismic actions combined with the deformability of the foundation. This traditional “old-type” construction for Christian churches still exists in several regions of the Mediterranean Basin, apart from Greece, despite the considerable seismic hazard that these regions are exposed to. An expert system was developed, which utilizes the basic geometric and material characteristics of a given masonry pier together with the in-plane stress resultant demands in a cross section, such as the axial force (Ny) the bending moment (My) and the shear force (Qy), in order to check the performance of such a pier. This is done by comparing the demands posed by these stress resultants with the corresponding capacities as they are predicted by the provisions of Euro-code 6 or from relevant empirical formulae. This is done by considering either the in-plane flexural or the in-plane shear capacity. This expert system is applied to typical basilica churches damaged by the recent 2014 Kefalonia earthquake in order to demonstrate its usefulness in the evaluation process of either the expected or the observed earthquake performance of this type of heritage structure.
Shifting Urban Priorities?

Much of the original Interstate infrastructure built in the 1950s and 1960s in the United States is approaching or has already reached the end of its useful life, and now requires large investments for rehabilitation. At the same time the freeway revolt has evolved into a more widespread movement, underlined by values such as sustainability. The vigorous debate about the future of urban highways and mobility continues with the development of a fairly recent phenomenon: urban freeway removal. This paper works toward a theory of highway removal by examining three different cases in which urban freeway removal was a seriously considered option—two in which the freeway was removed and replaced with a lower-capacity at-grade boulevard and one in which the freeway ultimately was not removed. The analysis suggests that freeway removal will take place only when (a) the freeway's condition raises concerns about its integrity and safety; (b) a window of opportunity exists, some event that enables a freeway removal alternative to gain serious consideration; (c) the value of mobility is lower than other objectives such as economic development; and (d) those in power value other benefits more than they value the benefits associated with freeway infrastructure.
Based on 6LoWPAN Technology Distributed Energy Efficiency Terminal Development

This paper presents a 6LoWPAN-based distributed energy efficiency of the terminal design, the distributed terminal node hardware and software design are discussed in detail and discussion. Packet reception rate of the nodes in a small experimental platform, the average delay time and the average consumption of energy and other performance parameters were analyzed. Experimental data show that the terminal node can well realize the IPv6 node interconnection of distributed energy efficiency and ensure its continuity.
Travel distance estimation and storage zone optimization in a 2-block class-based storage strategy warehouse

Order picking has been considered as the most critical operation in warehousing. Recent trends in logistics demand faster but more reliable order picking systems. The efficiency of an order picking process greatly depends on the storage policy used, i.e. where products are located within the warehouse. In this paper, we deal with the most popular storage policy that is class-based (or ABC) storage strategy. Particularly, we investigate the problem of determining the optimal storage boundaries (zones) of classes in each aisle for manually operated warehouses. We first propose a probabilistic model that enables us to estimate the average travel distance of a picking tour. We found that the differences between results obtained from simulation and the model were slight. Using the average travel distance as the objective function, we present a mathematical formulation for the storage zone optimization problem. However, the exact approach can handle only small size warehouse instances. To circumvent this obstac.
Salafi Women Resilience in Family Economic Fulfilment in Dieng Plateau

This research aims to identify Salafi women resilience and roles in family economic fulfilment. Salafi women resistance to limitations in society influences various aspects of social life. Their movement and scopes in daily life are quite limited. Salafi women have a meaningful role in economic activities in Dieng Plateau as prosperous family resistance. Low education level causes women workforce to work in non-formal sectors. Dieng Plateau society's activities are mostly in the agriculture and commerce sectors. This research applies descriptive qualitative with a case study approach. The result shows that Salafi women fulfil their family economic fulfilment for two purposes: Firstly, as the forms of participation to meet family economic needs by doing agriculture and commerce activity, secondly, as economic activity motivation to meet primary needs.
S3UCA: Soft-Margin Support Vector Machine-Based Social Network User Credibility Assessment Method

Among the algorithms used to assess user credibility in social networks, most of them quantify user information and then calculate the user credibility measure by linear summation. The algorithm above, however, ignores the aliasing of user credibility results under the linear summation dimension, resulting in a low evaluation accuracy. To solve this problem, we propose a user credibility evaluation method based on a soft-margin support-vector machine (SVM). This method transforms the user credibility evaluation dimension from a linear summation dimension to a plane coordinate dimension, which reduces the evaluation errors caused by user aliasing in the classification threshold interval. In the quantization of user information, the ladder assignment method is used to process the user text information and numeric information, and the weight assignment method of information entropy is used to calculate the weight assignment among different feature items, which reduces the errors caused by the inconsistency of the order of magnitude among different types of user information. Simulation results demonstrate the superiority of the proposed method in the user’s credibility evaluation results.
Direct Sparse Odometry With Planes

We propose a novel formulation to use plane primitives in the direct sparse odometry formulation. Unlike existing SLAM works that introduce geometric error terms to account for planes, our method keeps the full error as purely photometric. The proposed system exploits the segmentation masks and plane parameters from a deep neural network and jointly optimizes the camera poses, 3D points, and 3D planes. The tightly-coupled formulation improves the pose estimation by fusing information on high-level geometric primitives and also refines the outputs of the plane detection network during optimization.
The Origins and History of Loss Prevention

The new chemical plants built in the 1950s and 1960s were larger than earlier ones and operated at higher temperatures and pressures. The result was an increase in serious accidents. This led to the more systematic and technical approach to safety, known as loss prevention. Its distinguishing features include the quantification of risk, the identification of hazards by Hazop, audits, inherently safer design,more thorough investigation of incidents, better incident reports and the study in much greater depth than before of explosions, runaway reactions and the dispersion of leaks. New techniques such as Hazop were adopted more quickly than inherently safer design which needs a fundamental change in the design process. Significant papers, both the seminal ones that introduced new ideas and the evangelical ones that spread them, are listed. Finally, the present status of loss prevention is summarized.
COVID-19 Associated Facial Palsy, A Clinical Dilemma

This gentleman presented having woken up with sudden onset right‐sided facial weakness. He tested positive for COVID‐19 3 weeks prior and again on admission. Past medical history included insulin‐dependent type 2 diabetes and hypertension, which were well controlled. Examination revealed Grade III right‐sided lower motor neuron facial nerve palsy on the House–Brackmann grading system. There was no other neurological deficit. Ear, nose, and throat examination was normal.