Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous actuator and sensor fault reconstruction of singular delayed linear parameter varying systems in the presence of unknown time varying delays and inexact parameters

In this article, robust fault diagnosis of a class of singular delayed linear parameter varying systems is considered. The considered system has delayed dynamics with unknown time varying delays and also it is affected by noise, disturbance and faults in both actuators and sensors. Moreover, in addition to the aforementioned unknown inputs and uncertainty, another source of uncertainty related to inexact measures of the scheduling parameters is present in the system. Making use of the descriptor system approach, sensor faults in the system are added as additional states into the original state vector to obtain an augmented system. Then, by designing a suitable proportional double integral unknown input observer (PDIUIO), the states, actuator, and sensor faults are estimated. The uncertainty due to the mismatch between the inexact parameters that schedule the observer and the real parameters that schedule the original system is formulated with an uncertain system approach. In the PDIUIO, the uncertainty induced by unknown inputs (disturbance, noise and actuator, and sensor faults), unknown delays, and inexact parameter measures are attenuated in H∞ sense with different weights. The constraints regarding the existence and the robust stability of the designed PDIUIO are formulated using linear matrix inequalities. The efficiency of the proposed method is verified using an application example based on an electrical circuit.
Aggregation Effects on Entropy Generation Analysis for Nanofluid Flow over a Wedge with Thermal Radiation: A Numerical Investigation

The current study investigated the formation of entropy in a nanofluid flow in a wedge with thermal radiation and convective boundary conditions. Nanoparticle aggregation is also taken into consideration. The rate of heat transmission of a water-based aggregated fluid over a wedge has been investigated due to the effects of thermal radiation. A set of nonlinear differential equations governs the flow process, and these are numerically solved using a helpful approach called the Runge-Kutta-Fehlberg scheme. This method starts by breaking down the equations into a collection of first-order equations. The RK method then solves those equations. The effects on flow and heat transmission are studied using graphical analysis. Entropy generation and Bejan number changes are also graphically displayed, and the results are discussed in detail. These equations’ answers were also incorporated into a dimensionless entropy generating equation. According to the findings, raising the radiation parameter and decreasing boundary convection minimize entropy generation, while nanoparticles boost entropy production.
A Convolution-Based Computational Technique for Subdivision Depth of Doo-Sabin Subdivision Surface

Subdivision surface schemes are used to produce smooth shapes, which are applied for modelling in computer-aided geometric design. In this paper, a new and efficient numerical technique is presented to estimate the error bound and subdivision depth of the uniform Doo-Sabin subdivision scheme. In this technique, first, a result for computing bounds between P k (a polygon at k th level) and P ∞ (limit surface) of the Doo-Sabin scheme is obtained. After this, subdivision depth (the number of iterations) is computed by using the user-defined error tolerance. In addition, the results of the proposed technique are verified by taking distinct valence numbers of the Doo-Sabin surface scheme.
Religiosity and Physical Health of Middle–Old Aged African Americans: The Linking Role of Self-Control

Objective: This study examined a psychological process (i.e., sense of control) that links religiosity to self-reported physical health in older African Americans. Methods: Two waves of data from 231 middle–old aged African Americans (AAs) were used to test two specific hypotheses: (a) religiosity influences changes in sense of control middle–old aged AAs, and (b) sense of control influences changes in global physical health in middle–old aged AAs. The analysis used two modeling approaches: (a) an autoregressive cross-lagged modeland (b) a parallel growth/change model. Results: The results of both types of models showed that religiosity positively influenced changes in sense of control and that sense of control positively influenced changes in physical health in middle–old aged AAs over time. Discussion: These findings provide evidence that sense of control links religiosity to physical health in older African Americans. The theoretical and practical implications of the findings are discussed.
Grasping force optimization using dual methods

One of the basic requirements in grasping and manipulation of objects is the determination of a suitable set of grasping forces such that the external forces and torques applied on the object are balanced and the object remains in equilibrium. This report presents a new mathematical approach to efficiently obtain the optimal solution of this problem using the dual theorem of non-linear programming. The problem is modeled such that the basic convexity property necessary to apply the dual theorem is satisﬁed and, then, it is transformed into another one much easier to be solved. Three examples showing the efficiency and accuracy of the proposed methodology are included in the report.
Bose-Einstein condensates in neutron stars

In the two decades since the appearance of the book \Bose{Einstein Con- densation" in 1995, there have been a number of developments in our under- standing of dense matter. After a brief overview of neutron star structure and the Bose{Einstein condensed phases that have been proposed, we de- scribe selected topics, including neutron and proton pairing gaps, the physics of the inner crust of neutron stars, where a neutron uid penetrates a lattice
A New Species of Lithocarpus (Fagaceae) from Ca Dam Mountain of Quang Ngai Province, Vietnam

Abstract Lithocarpus cadamensis Ngoc & Son, a new species of Fagaceae, is described and illustrated from Mt. Ca Dam, Tra Bong District, Quang Ngai Province, central Vietnam. The new species is characterized by its large leaf blades with long petioles, solitary and subsessile cupules which almost completely cover the nut, and spiny cupule scales, in a combination that clearly differs from the previously known species of Lithocarpus including the most similar species in the region, L. campylolepis, L. eucalyptifolius, and L. gougerotae. A MIG-seq phylogeny based on genome-wide SNPs reveals a phylogenetic position close to L. eucalyptifolius, from which the new species is differentiated by multiple morphological characters. A morphological description and comparison with related species, photographs, line drawing, preliminary conservation status, and DNA barcode sequences are provided for the new species.
Advances in CRISPR/Cas9

CRISPR/Cas9 technology has become the most examined gene editing technology in recent years due to its simple design, yet low cost, high efficiency, and simple operation, which can also achieve simultaneous editing of multiple loci. It can also be carried out without using plasmids, saving lots of troubles caused by plasmids. CRISPR/Cas9 has shown great potential in the study of genes or genomic functions in microorganisms, plants, animals, and human beings. In this review, we will examine the history, structure, and basic mechanisms of the CRISPR/Cas9 system, describe its great value in precision medicine and sgRNA library screening, and dig its great potential in a new field: DNA information storage.
An Interpretative Review on Partial Shading Mitigation Techniques For Solar PV System

The ways to limit the effect of partial shading for PV systems (basically the grid-connected) are considered for an evaluator review in this work. It includes a module-level solution, other techniques, and several partial shade mitigation solutions. The former improves the energy yield by optimizing each module’s power extraction capabilities. Three approaches (stated later in the paper) are taken into consideration and are discussed here. These approaches are basic module-level tactics for partial shading mitigation. This paper focuses on problem trends due to partial shading, few of maximum power point tracking techniques, and feasible solutions involved in partial shading mitigation.
STOCK PREDICTION USING LSTM

-Predicting the stock market is one of the most difficult tasks in the field of computation. Physical vs. physiological elements, rational vs. irrational conduct, investor sentiment, market rumours, and other factors all play a role in the prediction. All of these factors combine to make stock values extremely volatile and difficult to anticipate accurately. In this arena, we look into data analysis as a game-changer. When all information about a company and stock market events is promptly available to all stakeholders/market participants, the impacts of those events are already embedded in the stock price, according to efficient market theory. So, it is said that only the historical spot price carries the impact of all other market events and can be employed to predict its future movement. Hence, considering the past stock price as the final manifestation of all impacting factors we employ Machine Learning (ML) techniques on historical stock price data to infer future trends. ML approaches have the potential to uncover previously unseen patterns and insights, which can then be used to generate imprecise predictions. We propose a framework using the LSTM (Long Short Term Memory) model and companies' net growth calculation algorithm to analyze as well as predictions of future growth of a company.
Does a Shared Strategy Emerge from the Study of Walking Paths during Collaborative Carriages?

Some works have already studied human trajectories during spontaneous locomotion. However, this topic has not been thoroughly studied in the context of human-human interactions, especially during collaborative carriage tasks. Thus, this manuscript aims to provide a broad analysis of the kinematics of two subjects carrying a table. In the present study, 20 pairs of subjects moved a table to 9 different goal positions distant of 2.7-5.4 m. This was performed with only one or both subjects knowing the target location. The analysis of the collected data demonstrated that there is no shared strategy implemented by all the pairs to move the table around. We observed a great variability in the pairs’ behaviours. Even the same pair can implement various strategies to move a table to the same goal position. Moreover, a model of the trajectories adopted by collaborating pairs was proposed and optimized with an inverse optimal control scheme. Even if it produced consistent results, due to the great variability which origins were not elucidated, it was not possible to accurately simulate the average trajectories nor the individual ones. Thus, the approach that was shown to be efficient to simulate single walking subjects failed to model the behaviour of collaborating pairs.
KIVA: A Virtual Assistant

: - This project uses voice input and output to show text on the screen. Our voice assistance's major goal is to make people smarter by providing immediate and calculated outcomes. The voice assistant receives vocal input through our microphone (both Bluetooth and connected) and turns it into computer-understandable English, providing the user with the appropriate solutions and replies. This assistant uses the internet to retrieve results that the user has questioned. The Natural Language Processing algorithm enables computer machines to communicate in a variety of ways using natural human language.
Inﬂuence of High Energy Ball Milling and Dispersant on Capacitive Properties of Fe 2 O 3 —Carbon Nanotube Composites

: This investigation is motivated by increasing interest in ferrimagnetic materials and composites, which exhibit electrical capacitance. It addresses the need for the development of magnetic materials with enhanced capacitive properties and low electrical resistance. γ -Fe 2 O 3 -multiwalled carbon nanotube (MWCNT) composites are developed by colloidal processing and studied for energy storage in negative electrodes of supercapacitors. High energy ball milling (HEBM) of ferrimagnetic γ -Fe 2 O 3 nanoparticles results in enhanced capacitive properties. The effect of HEBM on particle morphology is analyzed. Gallocyanine is used as a co-dispersant for γ -Fe 2 O 3 and MWCNTs. The polyaromatic structure and catechol ligand of gallocyanine facilitated its adsorption on γ -Fe 2 O 3 and MWCNTs, respectively, and facilitated their electrostatic dispersion and mixing. The adsorption mechanisms are discussed. The highest capacitance of 1.53 F · cm − 2 is achieved in 0.5 M Na 2 SO 4 electrolyte for composites, containing γ -Fe 2 O 3 , which is high energy ball milled and co-dispersed with MWCNTs using gallocyanine. HEBM and colloidal processing strategies allow high capacitance at low electrical resistance, which facilitates efﬁcient charge–discharge. Obtained composites are promising for fabrication of multifunctional devices based on mutual interaction of ferrimagnetic and capacitive properties. HEBM on morphology of Fe 2 O 3 particles. Electrochemical testing results revealed beneﬁts of HEBM and colloidal processing in the presence of gallocyanine, which facilitated the fabrication of the Fe 2 O 3 –carbon nanotube composite electrodes with enhanced capacitance.
Tool for Automatic Annotation of Clinical Texts in Bulgarian – BGMedAnno

This paper describes the design of BGMedAnno: an automatic annotation tool for clinical text in Bulgarian. The proposed solution combines classical rule-based and dictionary-based approaches for name entity recognition (NER) with more advanced deep learning methods to identify different categories of medical terms, as well as some nested objects. The following categories of medical terms are currently identified: symptoms, complaints, diagnoses, anatomical organs and systems, risk factors, and family history. In addition, the negation relation and its scope are recognized. The location relation was modeled for connecting different categories of symptoms and complaints to anatomical organs and systems. All identified concepts were normalized to medical standard classifications and ontologies like UMLS, MESH, ICD-10 and mapped into the concepts of the linked open data Knowledge Graph WikiData. The proposed approach for automatic medical terms and their relations recognition shows high accuracy. The rule-based method shows an F1-score of 75%, while the trained BERT-based model presents an F1 score of 73%. Although the BERT model performs slightly worse on the test set, observations show that it finds objects in sentences that are not covered by the rule-based method. For the object linking task, the developed method based on the BERT language model shows a 61% F1 result, significantly outperforming direct string comparison, which achieves an F1 result of 45%. The developed user interface allows direct application of the annotation tool for individual texts. The service API outputs data in JSON format, which enables interoperability with other systems and can be used to process large collections of clinical data
PREDICTING ACADEMIC STAFF INVOLVEMENT IN ORGANIZATIONAL CHANGE FROM DEMOGRAPHIC FACTORS

: Getting people involved in organizational change is one of the priorities of change management process. But the questions lie how that objective could be done while the urge of resistance is too much to handle. Previous studies found employees resist or involve in change from cognitive and psychological commitment, but their personal background should be one among other determiners. This study applied demographic factors to predict the involvement of academic staff at two public higher education institutions in Cambodia in a change initiative (implementing blended learning into their academic program). The study was investigated on several constructs comprising age, year of employment, employment status, previous employment experience in private sector and education experience with the change involvement. Statistical software-SPSS-v26 was used to perform chi-square tests and logistic regression analysis. The findings revealed that academic staff involved in the change program were different in regard to their age, year of employment and employment status. And these three dimensions could predict the involvement in organizational change while combined together, and year of employment was a significant predictor.
Simulation of Low Frequency Noise in a CCTWT

Abstract : The report describes the progress made studying the low frequency noise in a coupled cavity traveling wave tube. Simulations using the particle in cell code, XOOPIC, indicate that plasma is generated by the ionization of a background gas. The plasma is trapped in the potential depression of the beam, which is formed in the radial direction of the beam, which is formed in the radial direction by the radial space charge field, and in the axial direction due to scalloping of the beam in the external solenoidal magnetic field. As the Ion density exceeds the beam density, the ionization (plasma) electrons are observed to be expelled axially, followed in 20 ns by radial expulsion of the ions. The plasma then begins to build up again, and the oscillation repeats. The next step in the study is to include the microwave circuit in the simulation, to observe the impact of the oscillation on the output power. In addition, means of eliminating or controlling the oscillation will be studied.
The Effect of Bottleneck Size on Evolution in Nested Darwinian Populations

Previous work has shown how a minimal ecological structure consisting of patchily distributed resources and recurrent dispersal between patches can scaffold Darwinian properties onto collections of cells. When the timescale of dispersal is long compared with the time to consume resources, patches evolve such that their size increases, but at the expense of cells whose growth rate decreases within patches. This creates the conditions that initiate evolutionary transitions in individuality. A key assumption of this scaffolding is that a bottleneck is created during dispersal, so patches are founded by single cells. The bottleneck decreases competition within patches and hence creates a strong hereditary link at the level of patches. Here we construct a fully stochastic model of nested Darwinian populations and investigate how larger bottlenecks affect the evolutionary dynamics at both cell and collective levels. It is shown that, up to a point, larger bottlenecks simply slow the dynamics, but at some point, which depends on the parameters of the within-patch model, the direction of evolution toward the equilibrium is reversed. Introducing random bottleneck sizes with some positive probability of smaller sizes can counteract this, even if the probability of smaller bottlenecks is small.
In vitro determination of HT oxidation activity and tritium concentration in soil and vegetation during the chronic HT release experiment at Chalk River

The oxidation activity of molecular tritium (HT) in soils and vegetation collected in experimental plots during the 1994 chronic HT release experiment at Chalk River was determined in vitro laboratory experiments after the release. HT oxidation activity was highest in surface soils in the natural plot, about 3-4 times that in soils in the cultivated plots. HT oxidation activity in weeds and Komatsuna leaves was about 2 and 0.4% of that in the cultivated soil, respectively. The number of HT-oxidizing bacteria isolated from soils was highest in the surface soil (0-5 cm) in the natural plot. The viable cell numbers in surface soils in the cultivated and natural plots were almost the same. The total occurrence rates of HT-oxidizing bacteria in the surface soils were 22% in the natural plot, and 7.5% in the cultivated plot. The occurrence rates of HT-oxidizing airborne bacteria during the release on two culture media were 4.2 and 1.9%. 16 refs., 3 figs., 3 tabs.
THE GEMINI NICI PLANET-FINDING CAMPAIGN: DISCOVERY OF A SUBSTELLAR L DWARF COMPANION TO THE NEARBY YOUNG M DWARF CD−35 2722

We present the discovery of a wide (67 AU) substellar companion to the nearby (21 pc) young solar-metallicity M1 dwarf CD−35 2722, a member of the ≈100 Myr AB Doradus association. Two epochs of astrometry from the NICI Planet-Finding Campaign confirm that CD−35 2722 B is physically associated with the primary star. Near-IR spectra indicate a spectral type of L4±1 with a moderately low surface gravity, making it one of the coolest young companions found to date. The absorption lines and near-IR continuum shape of CD−35 2722 B agree especially well the dusty field L4.5 dwarf 2MASS J22244381−0158521, while the near-IR colors and absolute magnitudes match those of the 5 Myr old L4 planetary-mass companion, 1RXS J160929.1−210524 b. Overall, CD−35 2722 B appears to be an intermediate-age benchmark for L dwarfs, with a less peaked H-band continuum than the youngest objects and near-IR absorption lines comparable to field objects. We fit Ames-Dusty model atmospheres to the near-IR spectra and find Teff= 1700–1900 K and log(g)= 4.5 ± 0.5. The spectra also show that the radial velocities of components A and B agree to within ±10 km s−1, further confirming their physical association. Using the age and bolometric luminosity of CD−35 2722 B, we derive a mass of 31 ± 8 MJup from the Lyon/Dusty evolutionary models. Altogether, young late-M to mid-L type companions appear to be overluminous for their near-IR spectral type compared with field objects, in contrast to the underluminosity of young late-L and early-T dwarfs.
A λ = 1.3 mm and 2 mm molecular line survey towards M 82

Aims. We study the chemical complexity towards the central parts of the starburst galaxy M 82, and investigate the role of certa in molecules as tracers of the physical processes in the galaxy circumnuclear region. Methods. We carried out a spectral line survey with the IRAM-30m telescope towards the northeastern molecular lobe of M 82. It covers the frequency range between 129.8 GHz and 175.0 GHz in the 2 mm atmospheric window, and between 241.0 GHz and 260.0 GHz in the 1.3 mm atmospheric window. Results. Sixty-nine spectral features corresponding to 18 different molecular species are identified. In addition, three h ydrogen recombination lines are detected. The species NO, H2S, H2CS, NH2CN, and CH3CN are detected for the first time in this galaxy. Assuming local thermodynamic equilibrium, we determine the column densities of all the detected molecules. We also calculated upper limits to the column densities of fourteen other important, but undetected, molecules, such as SiO, HNCO, or OCS. We compare the chemical composition of the two starburst galaxies M82 and NGC 253. This comparison enables us to establish the chemical differences between the products of the strong photon-dominated regions (PDRs) driving the heating in M 82, and the large-scale shocks that influence the properties of the molecular clouds in the nucle us of NGC 253. Conclusions. Overall, both sources have different chemical compositions. Some key molecules highlight the different physical processes dominating both central regions. Examples include CH3CCH, c-C3H2, or CO + , the abundances of which are clearly higher in M 82 than in NGC 253, pointing at photodissociating regions. On the other hand, species such as CH2NH, NS, SiO, and HOCO + have abundances of up to one order of magnitude higher in NGC 253 than in M 82.