Miracle-dz/UniFAR-FTUs huggingface dataset:
Uniplexing and Multiplexing of PZT Transducers for Structural Health Monitoring

Piezoceramic (PZT) transducers are extensively used in structural health monitoring (SHM) and noise and vibration control (NVC) of various aero, civil, and mechanical (ACM) structures. They are surface bonded on the host structure and are excited to produce structural responses. These responses form the basis of PZT—structure interaction based SHM or NVC methods. The last couple of decades have seen many `single input single output' (SISO) type PZT—structure interaction models. However, researchers are compelled to study `multiple input multiple output' (MIMO) or `multiple input single output' (MISO) type PZT—structure interaction models in addition to the SISO models to deal with ACM structures. Multiplexing is a process of active excitation and extraction of output responses from multiple PZT transducers, whereas uniplexing is active excitation and extraction of output response from a single PZT in the presence of other passive distributed transducers. Thus, this article focuses on the experimental stud.
IMPLEMENTATION OF MULTIVARIATE METHODS AS DECISION MAKING MODELS FOR OPTIMIZATION OF OPERATOR ALLOCATION BY COMPUTER SIMULATION IN CMS

ABSTRACT By noting the importance of flexible manufacturing system (FMS), variable market and reduction in product life cycle, this study presents a decision making model for optimization of operators allocation in cellular manufacturing system (CMS) by computer simulation. A case study is considered and a computer simulation which considers various operators layout is developed with respect to the purpose of this study. Then, data envelopment analysis (DEA), principle component analysis (PCA) and numerical taxonomy are utilized to assess simulation results and alternatives. Furthermore, the results of the three preceding approach are verified by spearman correlation technique. Consequence the best operator layout with respect to cellular condition was identified. It should be noted that the indicators used in multivariate analysis may be changed to reflect market condition and demand and consequently locating optimum solutions. Previous studies only utilizes DEA and simulation, whereas this study uses an integrated simulation, DEA, PCA and Taxonomy approach for optimal operator allocation, verification, validation and flexible modeling.
P‐182: Analysis of Bright Lines in Passive‐Matrix OLEDs using High‐Speed Photography

Horizontal bright lines are analyzed using high‐speed photography. Although the shutter speed is set to the scan period, multiple scan buslines emit light. This is because the scan voltage is simultaneously applied to the multiple scan buslines. Therefore, the horizontal lines seem to be caused by short circuits between neighboring cathode electrodes, which are simultaneously used for the scan buslines. Vertical bright lines are also analyzed using high‐speed photography. The vertical lines emit light when the corresponding scan buslines are selected. This is because the signal voltage applied to the vertical lines becomes higher. Therefore, the vertical lines seem to be caused by short circuits between anode electrodes and cathode electrodes in OLED pixels. Although the occurrence mechanisms of the horizontal lines and vertical lines may be different for each panel, it is found that the high‐speed photography is a useful and interesting to analyze defects in passive‐matrix OLEDs.
Support vector machines in remote sensing: the tricks of the trade

Support Vector Machines (SVM) have been widely adopted by the remote sensing community in the last decade. The standard algorithm has been mainly applied to image classication tasks. Many advanced developments based on SVM have been introduced as well. This paper, nevertheless, revises the standard formulation of SVM. An important part of the paper is about the intuition on the SVM parts: the cost, the regularizer and the free parameters. Finally, the paper revises three interesting simple modications well suited to tackle remote sensing image classication: constraining the margin, including invariances and the information of unlabeled samples. Some examples are given to illustrate these concepts.
Parameterized analysis of the choice between do-nothing and act-now options

An alternative parameterization is presented for analyzing the choice between an act-now option and a do-nothing option. The approach assumes only two outcomes are possible, and only one decision criterion is used. The problem is described in terms of a set of six independent, dimensionless parameters, and one cost scale parameter. The best choice is given as an equation in terms of the six parameters for both a decision-maker who maximizes expected value and for one who maximizes utility. The analysis highlights the sensitivity of the decision to a new parameter, the benefit-of-abatement multiplier, which is the fraction of the costs spent now that can be deducted from future costs when following an act-now choice. This parameterization could lead to a greater understanding of the important characteristics of the problem, and facilitate transferability of results between analyses. It could help systems analysts either in formulating decisions, or in post-hoc evaluations of historic decisions.
Organization and Management of Transport Provided for the Guests and Participants of the Olympic Games

Based on the study of foreign experience of the use of computer-based navigation systems in passenger services formed the requirements for an automated planning system in passenger services as part of a subsystem of the passenger transport (SSPT) automated control system (ACS), a logistics transport center (LTC). The analysis of the structure of computer-based navigation systems in passenger services. Subsystem architecture is proposed operational planning custom transport based on the requirements worked out earlier. Conducted an experimental study in which based on the developed architecture was created software for planning tasks.
Flexibility in valenced reinforcement learning computations across development.

Optimal integration of positive and negative outcomes during learning varies depending on an environment's reward statistics. The present study investigated the extent to which children, adolescents, and adults (N = 142 8-25 year-olds, 55% female, 42% White, 31% Asian, 17% mixed race, and 8% Black; data collected in 2021) adapt their weighting of better-than-expected and worse-than-expected outcomes when learning from reinforcement. Participants made choices across two contexts: one in which weighting positive outcomes more heavily than negative outcomes led to better performance, and one in which the reverse was true. Reinforcement learning modeling revealed that across age, participants shifted their valence biases in accordance with environmental structure. Exploratory analyses revealed strengthening of context-dependent flexibility with increasing age.
Liquid crystal-based tunable CRLH-transmission line for leaky wave antenna applications at Ka-Band

In this work, a liquid crystal based tunable composite right/left-handed transmission line for future leaky wave antennas working at the Ka-band is presented. The tuning of the liquid crystal is achieved by means of magnetic and electric biasing. For this purpose, different prototypes are fabricated for each biasing technique and their dispersive characteristics compared. Electric tunability is achieved by implementing highly resistive bias lines in the unit cell layout. Both techniques yield similar tuning capabilities at the operation frequency of 27GHz whereas the electric one has the advantage of being easily integratable in the layout.
Cascade Transformations of 1-R-Ethynyl-9,10-anthraquinones with Amidines: Expanding Access to Isoaporphinoid Alkaloids

The interaction of acetamidine and phenylamidine with peri-R-ethynyl-9,10-anthraquinones in refluxing n-butanol leads to the formation of cascade transformations products: addition/elimination/cyclization―2-R-7H-dibenzo[de,h]quinolin-7-ones and(or) 2-R-3-aroyl-7H-dibenzo[de,h]quinolin-7-ones. The anti-inflammatory and antitumor properties of the new 2-R-7H-dibenzo[de,h]quinolin-7-ones were investigated in vivo, in vitro, and in silico. The synthesized compounds exhibit high anti-inflammatory activity at dose 20 mg/kg (intraperitoneal injection) in the models of exudative (histamine-induced) and immunogenic (concanavalin A-induced) inflammation. Molecular docking data demonstrate that quinolinones can potentially intercalate into DNA similarly to the antitumor drug doxorubicin.
Testing for Statistical Power

Correlations The two power equations provided here are based on a remarkable relationship that gives an approximate but fairly accurate test for the significance of the product-moment correlation coefficient, r, at the two-tailed 5% level. This relationship is such that the correlation that will be significant, ro.os' at a given sample size, N, is Why Is Power Important? Power analysis (the determination of the number of subjects needed to achieve a given level of power in an experiment) should be fundamental to any research design, but it is particularly important when an investigator wishes to reach conclusions regarding instances when the null hypothesis is not rejected (that is, when a difference between or among groups is not statistically significant). A power analysis means that the planning phase of research or test and evaluation was carefully and competently done. Why, then, is power so seldom analyzed? Cohen's (1992) conclusion was that researchers find power analysis too complicated, suggesting that what is needed is a short rule-of-thumb treatment of power. To that end, Cohen (1992) provided an abbreviated table giving the number of subjects (that is, sample size) requirements for small, medium, and large effect sizes for eight statistical tests. If you simply divide 2 by the square root of the sample size, you can easily scan a table of correlations for those that are equal to or larger than 1'0.05 and therefore significant by the standard tor F test for significance of product-moment correlation. Harris and Quade (1992) have shown that for any test in which the hypothesis involves a single degree of freedom, power is 50% when the experiment is planned to be barely significant (alpha = 0.05). Therefore, to obtain the sample size that will yield 50% power for tests of correlation coefficients, you need only square both sides of Equation 1 and solve for N This results in
COMPLEMENTARY ANALYTICAL TECHNIQUES PAPER, THIN-LAYER, HIDE-POWER, AND COMBINED METHODS FOR CHARACTERIZATIONOF TANNIN IN PLANTS

The polyphenolic compoundsextract rich in gallo-catechol tannins submitted to complementary analytical techniqueswas evaluated. The whole plantspecies screened were of the condensed type except Acacia seyal var. fistuala, Acaciaseyal var. seyal, Casuarina equistifolia, and Pithecellobium dulcewere of mixedhydrolysable-condensed(gallo-catechol) type. The quantitative data indicated that 5 parts (bark) out of 12 species, when extracted, contained more than 10% tannins (oven-dry basis), the level of commercial interest. The catechin numbers indicated that all the studied species contained condensed tannin in varying amounts (0.6-45.7), while the presence of both gallic acid and catechin means that the tannin is of mixed type. Thin-layer and paper chromatography with different solvent systems confirmed the presence of catechin and gallic acid, and showed that tannic acid, fisetin, epicatechin and some unidentified phenolics were present. However, dihydrofisetin and robinetin, which were used as standards, were not detected. Astringency values shows that the Acacia mellifera(0.18), Acacia seyalvar.fistuala(0.18), Pithecellobium dulce (0.15), Acacia senegal (0.14), Acacia farnesiana (0.13), Calotropis procera (0.13)barks could be used in place of A. mearnsii(international commercial tannin materials) (0.16) because the degree of relative astringency or the ability of their tannin to combine with protein is close to that of A. mearnsii in other words these six species can give leather with characteristics comparable with that of A. mearnsii.
Integrated water resources management approach in mitigating the potential impacts of climate change on hydrology in Gurara reservoir catchment, Northwest Nigeria

Abstract. The strategies and actions in the management of African River Basins in a warming climate environment have been studied. Using the Gurara Reservoir Catchment in North-West Nigeria as a case study, summations were proposed using hypothetical climate scenarios considering the Global Climate Models prediction and linear trend of the data. Four (4) proposed scenarios of temperature increase (1 % and 2 %) coupled with a decrease in precipitation of (−5 % and −10 %) were combined and applied for the study area. The Water Evaluation and Planning Tool was used to model and evaluates the impact of the earth's rising temperature and declining rainfall on the hydrology and availability of water by investigating its resilience to climate change. Modelling results indicate a reduction in available water within the study area from 4.3 % to 3.5 % compared to the baseline with no climate change scenario, revealing the current water management strategy as not sustainable, uncoordinated, and resulting in overexploitation. The findings could assist in managing future water resources in the catchment by accentuating the need to put in place appropriate adaptation measures to foster resilience to climate change. Practically, it is pertinent to shape more effective policies and regulations within catchments for effective water resources management in reducing water shortage as well as achieving downstream water needs and power benefit in thefuture, while also allowing flexibility in the operation of a reservoir with the ultimate goal of adapting to climate change.
Model for Charge Transport in Ferroelectric Nanocomposite Film

This paper describes 3D particle-in-cell simulation of charge injection and transport through nanocomposite film comprised of ferroelectric ceramic nanofillers in an amorphous polymer matrix and/or semicrystalline ferroelectric polymer with varying degrees of crystallinity. The classical electrical double layer model for a monopolar core is extended to represent the nanofiller/nanocrystallite by replacing it with a dipolar core. Charge injection at the electrodes assumes metal-polymer Schottky emission at low to moderate fields and Fowler-Nordheim tunneling at high fields. Injected particles propagate via field-dependent Poole-Frenkel mobility. The simulation algorithm uses a boundary integral equation method for solution of the Poisson equation coupled with a second-order predictor-corrector scheme for robust time integration of the equations of motion. The stability criterion of the explicit algorithm conforms to the Courant-Friedrichs-Levy limit assuring robust and rapid convergence. Simulation results for BaTiO3 nanofiller in amorphous polymer matrix and semicrystalline PVDF with varying degrees of crystallinity indicate that charge transport behavior depends on nanoparticle polarization with antiparallel orientation showing the highest conduction and therefore the lowest level of charge trapping in the interaction zone. Charge attachment to nanofillers and nanocrystallites increases with vol% loading or degree of crystallinity and saturates at 30–40 vol% for the set of simulation parameters.
Design of an Orthogonal Compliance for Polygonal Peg Insertion

This paper addresses automatic assembly with passive rather than active compliant devices. Previous work has shown that in an ideal manufacturing environment three assembly primitives (prismatic insertions, threaded fits and general path insertions) exhibit a high level of difficulty. None of these are reliably assemblable under sensor-based force control or with an ordinary remote center compliance (RCC) device. In this paper, we extend the science of part mating and apply dexterity theory to synthesize a passive assembly device for precision fits of three-dimensional prismatic parts. This Spatial Remote Center Compliance (SRCC) obviates sensor-based and force control approaches to precision assembly of nonaxisymmetric parts.
USE OF PRODUCT DESIGN METHODOLOGY TO DEVELOP THE TECHNICAL AUDIT PROTOTYPE FOR WEBSAT

Data analysis tools are effective in evaluating various processes and identifying problematic areas. Safety being the primary concern of the aviation industry, it is imperative that effective data analysis be conducted on data obtained from various aviation processes. WebSAT is a web-based surveillance and auditing tool which is intended to capture errors from aviation maintenance processes and analyze the data to further evaluate on the effectiveness of each of the maintenance processes. WebSAT will collect data for the quality assurance work functions of aircraft maintenance, which are surveillance, internal audits, technical audits, and airworthiness directives. This paper presents the product design methodology used to prototype the technical audit module for WebSAT. As a part of the design methodology, customer statements were analyzed and corresponding need statements were generated. These were then used to generate metrics in terms of which product specifications will be established. Concepts were generated for the design of the module and were tested with potential users to identify the most promising one. Later, the selected concept was refined by incorporating features of other concepts that were preferred by the user.
Identified Motivation as a Key Factor for School Engagement During the COVID-19 Pandemic-Related School Closure

On March 16, 2020, French schools suddenly closed due to the COVID-19 pandemic, and middle school students were asked to study from home with no direct interactions with teachers or classmates. However, school plays an important role in the development of social, intellectual, and mental competencies and can counteract the negative effects of adverse life events on learning and early school dropout. In this study, we investigated how the unusual context of school closure during the COVID-19 pandemic affected school engagement. Specifically, we focused on inter-individual differences in the motivational determinants of school engagement. We thus performed an online survey of 170 students focusing on the time spent on mathematics assignments, motivation regulation, implicit theories of intelligence, such as adopting a growth or a fixed mindset about his/her intellectual abilities, and optimism. Importantly, the students participated in the online survey during the first lockdown period, with schools closed (T1), and the second lockdown period, with schools remaining open (T2). During T1, identified motivation positively predicted the time spent on math homework assignments: the more the students thought that working on math exercises was useful for their future life, the more time they spent studying. Importantly, the link between identified motivation and school engagement was specific to T1, when schools were closed, as indicated by a significant interaction between identified motivations by type of lockdown. These results suggest that having self-determined motivation is of particular importance when students are deprived of social and intellectual interactions with classmates and teachers. This finding paves the way toward the development of wise rational interventions that target identified motivation and can be applied during challenging societal times and adverse, common life events to keep students engaged with school.
The manipulation of spinal motor neuron axonal growth promotes spinal cord repair

The loss of motor function in patients with spinal cord injury (SCI) is primarily due to the severing of the corticospinal tract (CST). Spinal motor neurons are located in the anterior horn of the spinal cord, and as the lower neurons of the CST, they control voluntary movement. Furthermore, its intrinsic axonal growth ability is significantly stronger than that of cerebral cortex pyramid neurons, which are the upper CST neurons. Therefore, we established an axonal regeneration model of spinal motor neurons to investigate the feasibility of repairing SCI by promoting axonal regeneration of spinal motor neurons. We demonstrated that conditionally knocking out pten in mature spinal motor neurons drastically enhanced axonal regeneration in vivo, and the regenerating axons of the spinal motor neurons re-established synapses with other cells in the damaged spinal cord. Thus, this strategy may serve as a novel and effective treatment method for SCI.
Teaching English: Differentiation and Individualisation

Heterogenität im Klassenzimmer ist Alltag und eine Herausforderung. Auch Englischlehrkräfte sind aufgefordert, dies mit speziell zugeschnittenen Lernarrangements zu berücksichtigen. Maria Eisenmann führt daher nicht nur in die Theorien von Heterogenität, Differenzierung und Inklusion ein, sondern stellt individualisierende Methoden und Lernstrategien für die Praxis des Unterrichts vor.
Performance evaluation of family-based dispatching in small manufacturing cells

In many practical instances, the choice of whether to apply family-based dispatching or not can be decided per machine. The present paper explores the impact of the location of family-based dispatching, load variations between machines and routing of jobs on the flow time effect of family-based dispatching. These factors are explored in small manufacturing cells with and without labour constraints. An industrial case motivates the study. A simulation study is performed to assess the impact of these effects. The results show that shop-floor characteristics such as routing and load variation impact the decision where to locate family-based dispatching in manufacturing cells without labour constraints. By contrast, the effect of family-based dispatching is much less vulnerable to shop-floor characteristics in cells with labour constraints. Since workers are the bottleneck in these cells, it becomes less important at what machine the set-up time involving a worker is reduced. In general, there seems to be a trade-off between the positive effect of applying family-based dispatching at a (bottleneck) machine and the possible negative effect of the more irregular job arrivals at subsequent machines. The results further indicate that family-based dispatching is more advantageous in cells with labour constraints than in cells without labour constraints, when both types of manufacturing cells have comparable machine utilizations.