Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcriptomic Analysis of Flowering Time Genes in Cultivated Chickpea and Wild Cicer

Chickpea (Cicer arietinum L.) is a major grain legume and a good source of plant-based protein. However, comprehensive knowledge of flowering time control in Cicer is lacking. In this study, we acquire high-throughput transcriptome sequencing data and analyze changes in gene expression during floral transition in the early flowering cultivar ICCV 96029, later flowering C. arietinum accessions, and two wild species, C. reticulatum and C. echinospermum. We identify Cicer orthologs of A. thaliana flowering time genes and analyze differential expression of 278 genes between four species/accessions, three tissue types, and two conditions. Our results show that the differences in gene expression between ICCV 96029 and other cultivated chickpea accessions are vernalization-dependent. In addition, we highlight the role of FTa3, an ortholog of FLOWERING LOCUS T in Arabidopsis, in the vernalization response of cultivated chickpea. A common set of differentially expressed genes was found for all comparisons between wild species and cultivars. The direction of expression change for different copies of the FT-INTERACTING PROTEIN 1 gene was variable in different comparisons, which suggests complex mechanisms of FT protein transport. Our study makes a contribution to the understanding of flowering time control in Cicer, and can provide genetic strategies to further improve this important agronomic trait.
Oral Hygiene in Patients with Stroke: A Best Practice Implementation Project Protocol

Oral hygiene has been shown to reduce adverse events and promote the quality of life of patients with stroke. However, a stroke can result in the impairment of physical, sensory, and cognitive abilities, and comprise self-care. Although nurses recognize its benefits, there are areas for improvement in the implementation of the best evidence-based recommendations. The aim is to promote compliance with the best evidence-based recommendations on oral hygiene in patients with stroke. This project will follow the JBI Evidence Implementation approach. The JBI Practical Application of Clinical Evidence System (JBI PACES) and the Getting Research into Practice (GRiP) audit and feedback tool will be used. The implementation process will be divided into three phases: (i) establishing a project team and undertaking the baseline audit; (ii) providing feedback to the healthcare team, identifying barriers to the implementation of best practices, and co-designing and implementing strategies using GRIP, and (iii) undertaking a follow-up audit to assess the outcomes and plan for sustainability. So, the successful adoption of the best evidence-based recommendations on oral hygiene in patients with stroke will reduce the adverse events related to poor oral care and may improve patients’ quality of care. This implementation project has great transferability potential to other contexts.
Integrating workplace meetings and team creative process literature: A multi-level perspective

Expanding existing meeting typologies, this paper introduces a model of the team creative process in meetings to better capture and study the full breath of meeting activity that results in creative outcomes. The primary goal of this work is to describe the processes that occur in the team creative process in meetings at the individual and team levels. A multi-level model that depicts the emergence of team creative cognitive processes from individual-level cognitions is presented. The nature of emergence of team creative processes is detailed. Research on creativity and meetings is integrated to better understand how meeting design characteristics influence creative output. This review of research is distilled to provide practical recommendations to best construct meetings to facilitate individual and team creativity. Additionally, the role of related team states in creative processes meetings is outlined. Finally, paths for future research on creativity in meetings are discussed. Plain Language Summary This article explores how individuals and teams think creatively in meetings. A model of meetings that have goals to produce creative outcomes is presented. The association between individual thinking processes and group thinking processes is presented alongside a discussion of relevant surrounding influences. Research on creative thinking and workplace meetings is used to better understand how meetings can be used to improve creativity. Practical recommendations to improve the production of creative outcomes in meetings are also provided.
Amateur Female Athletes Perform the Running Split of a Triathlon Race at Higher Relative Intensity than the Male Athletes: A Cross-Sectional Study

Maximal oxygen uptake (V˙O2max), ventilatory threshold (VT) and respiratory compensation point (RCP) can be used to monitor the training intensity and the race strategy, and the elucidation of the specificities existing between the sexes can be interesting for coaches and athletes. The aim of the study was to compare ventilatory threshold (VT), respiratory compensation point (RCP), and the percentage of the maximal aerobic speed (MAS) that can be maintained in a triathlon race between sexes. Forty-one triathletes (22 men and 19 women), 42.1 ± 8.4 (26 to 60) years old, that raced the same Olympic triathlon underwent a cardiorespiratory maximal treadmill test to assess their VT, RPC, and MAS, and race speed. The maximal oxygen uptake (V˙O2max) (54.0 ± 5.1 vs. 49.8 ± 7.7 mL/kg/min, p < 0.001) and MAS (17 ± 2 vs. 15 ± 2 km/h, p = 0.001) were significantly higher in male than in female athletes. Conversely, there were no sex differences according to the percentage of V˙O2max reached at VT (74.4 ± 4.9 vs. 76.1 ± 5.4%, p = 0.298) and RCP (89.9 ± 3.6 vs. 90.6 ± 4.0%, p = 0.560). The mean speed during the race did not differ between sexes (12.1 ± 1.7 km/h and 11.7 ± 1.8 km/h, p = 0.506, respectively). Finally, men performed the running split at a lower percentage of speed at RCP than women (84.0 ± 8.7 vs. 91.2 ± 7.0%, respectively, p = 0.005). Therefore, male and female athletes accomplished the running split in an Olympic triathlon distance at distinct relative intensities, as female athletes run at a higher RCP percentage.
Biopolymers in Mucoadhesive Eye Drops for Treatment of Dry Eye and Allergic Conditions: Application and Perspectives

Dry eye syndrome and allergic conjunctivitis are the most common inflammatory disorders of the eye surface. Although eye drops are the most usual prescribed dosage form, they are characterized by low ocular availability due to numerous barrier mechanisms of the eye. The use of biopolymers in liquid ophthalmic preparations has numerous advantages, such as increasing the viscosity of the tear film, exhibiting bioadhesive properties, and resisting the drainage system, leading to prolonged retention of the preparation at the site of application, and improvement of the therapeutic effect. Some mucoadhesive polymers are multifunctional excipients, so they act by different mechanisms on increasing the permeability of the cornea. Additionally, many hydrophilic biopolymers can also represent the active substances in artificial tear preparations, due to their lubrication and moisturizing effect. With the modification of conventional ophthalmic preparations, there is a need for development of new methods for their characterization. Numerous methods for the assessment of mucoadhesiveness have been suggested by the literature. This review gives an overview related to the development of mucoadhesive liquid ophthalmic formulations for the treatment of dry eye and allergic conditions.
A fast procedure for model search in multidimensional contingency tables

SUMMARY A procedure to select the simplest acceptable models for a multidimensional contingency table is proposed. It is based on two rules: first, that if a model is accepted, then all models that include it are considered to be accepted, and secondly, that if a model is rejected, then all its submodels are considered to be rejected. Two versions are described, one for the class of graphical models, and the other for the class of hierarchical log linear models. Application of both versions to a six-dimensional table is illustrated. The procedure can be regarded as an alternative to fitting all possible models, made computationally feasible by application of the two rules. It is a generalization of the procedure proposed by Havr'anek (1984), but is in many cases considerably faster.
Pengembangan Aplikasi Virtual Reality untuk Pembelajaran Bangun Ruang Kelas V Sekolah Dasar menggunakan Model ADDIE

Geometri merupakan salah satu topik yang sulit dalam Matematika. Salah satu alasan kesulitan ketika belajar geometri adalah metode pembelajaran ‘tradisional’ yang masih berpusat pada guru yang menggunakan gambar pada buku serta kurangnya kemampuan visual siswa. Untuk mengatasi masalah tersebut, makalah ini mengusulkan aplikasi berbasis virtual reality sebagai media pembelajaran bangun ruang. Penelitian ini menggunakan metode ADDIE dalam mengembangkan aplikasi virtual reality. Proses evaluasi dilakukan pada tahap pengembangan dengan cara validasi ahli materi, ahli media, dan guru. Pada tahap implementasi, tiga orang siswa menggunakan aplikasi. Proses evaluasi dilakukan dengan menggunakan pretest dan posttest. Berdasarkan hasil pretest dan posttest, terjadi peningkatan sebesar 24, 73 %. Aplikasi sudah layak digunakan sebagai media pembelajaran bangun ruang.
A Survey of Radio H II Regions in the Northern Sky (Lockman+ 1989)

Nearly 500 radio continuum sources near the Galactic plane at declinations greater than 37 deg were examined for radio recombination line emission to see if they might be H II regions. A total of 462 were detected, about half of these for the first time. The data are presented in an extensive table. Among the newly discovered nebulae are several with recombination lines so narrow that their electron temperature must be less than 4600 K. 35 refs.
Integration with respect to the Euler characteristic and its applications

The notion of integration with respect to the Euler characteristic and its generalizations are discussed: integration over the infinite-dimensional spaces of arcs and functions, motivic integration. The author describes applications of these notions to the computation of monodromy zeta functions, Poincaré series of multi-index filtrations, generating series of classes of certain moduli spaces, and so on. Bibliography: 70 titles.
Effects of atmospheric neutrons and natural contamination on advanced microelectronic memories

We have investigated material susceptibilities to atmospheric neutrons by calculating nuclear cross sections for every natural element from carbon to bismuth. The alpha emitters that can be present in microelectronic devices have also been identified. To improve the performance of microelectronic devices, the semiconductor industry has introduced a number of chemical elements in the device process. These elements experience a natural flux of neutrons and can also contain natural radioactive isotopes. In both cases, device reliability can be compromised. We show that, at ground level, the introduction of an element may be more important than the effect of neutrons.
A split- and delay-unit for the European XFEL

For the European XFEL [1] an x-ray split- and delay-unit (SDU) is built covering photon energies from 5 keV up to 20 keV [2]. This SDU will enable time-resolved x-ray pump / x-ray probe experiments as well as sequential diffractive imaging [3] on a femtosecond to picosecond time scale. Further, direct measurements of the temporal coherence properties will be possible by making use of a linear autocorrelation. The set-up is based on geometric wavefront beam splitting, which has successfully been implemented at an autocorrelator at FLASH [4]. The x-ray FEL pulses will be split by a sharp edge of a silicon mirror coated with Mo/B4C multi layers. Both partial beams will then pass variable delay lines. For different wavelengths the angle of incidence onto the multilayer mirrors will be adjusted in order to match the Bragg condition. For a photon energy of hν = 20 keV a grazing angle of θ = 0.57° has to be set, which results in a footprint of the beam (6σ) on the mirror of l = 120 mm. At this photon energy the reflectance of a Mo/B4C multi layer coating with a multi layer period of d = 3.2 nm and N = 200 layers amounts to R = 0.92. In order to enhance the maximum transmission for photon energies of hν = 8 keV and below, a Ni/B4C multilayer coating can be applied beside the Mo/B4C coating for this spectral region. Because of the different incidence angles, the path lengths of the beams will differ as a function of wavelength. Hence, maximum delays between +/- 2.5 ps at hν 20 keV and up to +/- 23 ps at hν = 5 keV will be possible.
X-ray timing and spectral measurements of X Persei

The results of an X-ray timing and spectral study of the Be star X-ray binary system X Per are reported, based on two series of Exosat observations. The timing measurements indicate that the neutron star in the X Per system was in a net spin-down mode during the 1984-1986 period and that this trend may have been in progress since 1978. The phase-averaged X-ray spectrum is consistent with a power law of photon spectral index 1.2 with a high-energy cutoff which becomes pronounced above 5 keV. The spectral form remains fairly constant with pulse phase, except for a brief episode of spectral hardening near pulse minimum. The results are discussed in terms of current models for wide-orbit binaries containing a Be star primary and an accreting neutron star. 33 refs.
Rings of differential operators on classical rings of invariants

We consider rings of differential operators over the classical rings of invariants, in the sense of Weyl [We]. Thus, let X k be one of the following varieties: (CASE A) all complex p × q matrices of rank ≤ k ; (CASE B) all symmetric n × n matrices of rank ≤ k ; (CASE C) all antisymmetric n × n matrices of rank ≤ 2k . We prove that the ring of differential operators D(X k) = D(O(X k)) defined on the ring of regular functions O(X k) is a simple, finitely generated, Noetherian domain. Assume further that X k is singular (which is the only interesting case). Then the result is proved by showing that D(X k) is a factor ring of an enveloping algebra U(g) . Here g = gl(p+ q) , sp(2n) and so(2n) in the Cases A, B and C, respectively. Finally, let SO(k) act in the natural way on the ring C[X] of complex polynomials in kn variables. Then we prove that D(C[X]) has a similarly pleasant structure and, at least for k ≤ n , is a finitely generated U(sp(2n)) -module. 1980 Mathematics Subject Classification (1985 Revision) 13N05, 14L30, 14M12, 17B20, 17B35, 16A19, 16A33.
A note for Ramanujan's circular summation formula

Recently, Chan and Liu give a new formula for circular summation of theta functions [see On a new circular summation of theta functions. J Number Theory. 2010;130:1190–1196]. In this note, we further extend their formula and derive the corresponding imaginary transformation and alternating summation formulas. As some applications, some new identities of theta functions are also shown.
Ein heuristischer Zugang zur allgemeinen Relativitätstheorie

Es wird ein heuristischer Zugang zur allgemeinen Relativitatstheorie angegeben, der unter Vermeidung der Kovariantentheorie die drei bis heute prufbaren Einstein - Effekte: Rotverschiebung der Spektrallinien der Sonne, Lichtablenkung im Gravitationsfeld der Sonne und Perihelbewegung der Planetenbahnen, im Zusammenhang mit dem Einstein-Machschen Prinzip der „Relativitat der Tragheit” quantitativ zu beschreiben gestattet. Abschliesend wird ein historisch-kritischer Uberblick uber die Bedeutung des Machschen Prinzips in der allgemeinen Relativitatstheorie gegeben.
On the Geometry of G-Structures of Higher Order

where _1 V. We call that is of order r if g+g) for i +j<r and +-2 for i>__r and j__>0. If k_l::0 and fl-0 then is said to be of type k. In general r<_k+l. Let Mo-/G be a homogeneous space of dimension n. Suppose ( is a finite dimensional Lie group whose Lie algebra is a transitive graded Lie algebra of order r and of type k: V+go+. where s-Max {r, k}. We also suppose that G is a closed subgroup of G whose Lie algebra is given by
Interpretable Differential Diagnosis of Non-COVID Viral Pneumonia, Lung Opacity and COVID-19 Using Tuned Transfer Learning and Explainable AI

The coronavirus epidemic has spread to virtually every country on the globe, inflicting enormous health, financial, and emotional devastation, as well as the collapse of healthcare systems in some countries. Any automated COVID detection system that allows for fast detection of the COVID-19 infection might be highly beneficial to the healthcare service and people around the world. Molecular or antigen testing along with radiology X-ray imaging is now utilized in clinics to diagnose COVID-19. Nonetheless, due to a spike in coronavirus and hospital doctors’ overwhelming workload, developing an AI-based auto-COVID detection system with high accuracy has become imperative. On X-ray images, the diagnosis of COVID-19, non-COVID-19 non-COVID viral pneumonia, and other lung opacity can be challenging. This research utilized artificial intelligence (AI) to deliver high-accuracy automated COVID-19 detection from normal chest X-ray images. Further, this study extended to differentiate COVID-19 from normal, lung opacity and non-COVID viral pneumonia images. We have employed three distinct pre-trained models that are Xception, VGG19, and ResNet50 on a benchmark dataset of 21,165 X-ray images. Initially, we formulated the COVID-19 detection problem as a binary classification problem to classify COVID-19 from normal X-ray images and gained 97.5%, 97.5%, and 93.3% accuracy for Xception, VGG19, and ResNet50 respectively. Later we focused on developing an efficient model for multi-class classification and gained an accuracy of 75% for ResNet50, 92% for VGG19, and finally 93% for Xception. Although Xception and VGG19’s performances were identical, Xception proved to be more efficient with its higher precision, recall, and f-1 scores. Finally, we have employed Explainable AI on each of our utilized model which adds interpretability to our study. Furthermore, we have conducted a comprehensive comparison of the model’s explanations and the study revealed that Xception is more precise in indicating the actual features that are responsible for a model’s predictions.This addition of explainable AI will benefit the medical professionals greatly as they will get to visualize how a model makes its prediction and won’t have to trust our developed machine-learning models blindly.
Theory of improved resolution in depth profiling with sample rotation

We advance a theory that explains why sample rotation during depth profiling leads to a dramatic improvement in depth resolution. When the sample is rotated, the smoothing effects of viscous flow and surface self‐diffusion can prevail over the roughening effect of the curvature‐dependent sputter yield and generate a smooth surface. If the sample is not rotated initially and the depth resolution declines, we predict that subsequent rotation leads to improved resolution. This phenomenon has already been observed experimentally.
High-Performance Multiband Ambient RF Energy Harvesting Front-End System for Sustainable IoT Applications—A Review

The increasing demand for wireless Internet of Things (IoT) calls for power efficient RF energy harvesting approach. The current dominant single-band RF energy harvesting front-end system restricts itself to a single frequency, which is at the risk of ineffective operation when the harvesting frequency is unavailable. This paper reviews and explores the alternative approach of a multiband RF energy-harvesting front-end system. It covers all essential circuitry of a multiband RF energy harvesting front-end system, starting from the recent RF surveys which investigate the typical, usable, and high-strength RF input, to the overview of the state-of-the-art antenna, impedance matching network (IMN), and RF-DC rectifier. The recent advancement of the multiple RF input harvesting abilities, reflection loss minimization, and performance improvement are comprehensively reviewed for different operating conditions, and this review also presents the advantages and disadvantages of the different circuit architecture combinations for multiband RF energy harvesting front-end systems. In summary, this review aims to fill the research gap in the further advancement of multiband RF energy harvesting towards enhancing its performance through optimal circuit integration of the front-end system.
Parameter Uncertainty Modeling Using the Multidimensional Principal Curves

This paper proposes a technique to model uncertainties associated with linear time-invariant systems. It is assumed that the uncertainties are only due to parametric variations caused by independent uncertain variables. By assuming that a set of a fin i te number of rational transfer functions of a fixed order is given, as number of rational transfer functions of a fixed order is given, as well as the number of independent uncertain variables that affect the parametric uncertainties, the proposed technique seeks an optimal parametric uncertainty model as a function of uncertain variables that explains the set of transfer functions. Finding such an optimal parametric uncertainty model is formulated as a non-covex optimization problem, which is then solved by a combination of a linear matrix inequality and a nonlinear optimization technique. To find an initial condition for solving this nonconvex problem, the nonlinear principal component analysis based on the multidimensional principal curve is employed. The effectiveness of the proposed technique is verified through both illustrative and practical examples.
A LiDAR SLAM-Assisted Fusion Positioning Method for USVs

Confronted with unmanned surface vessel (USV) operations where GNSS signals are unavailable due to obscuration and other factors, a LiDAR SLAM-assisted fusion positioning method for USVs is proposed to combine GNSS/INS positioning with LiDAR-SLAM. When the USV works in wide-open water, the carrier phase differential GNSS/INS loosely coupled integration strategy is applied to fuse and calibrate the positioning data, and the positioning information of the USV is obtained through the coordinate conversion process. The system uses a dynamic switching strategy to enter to LiDAR-SLAM positioning when GNSS signals are not available, compensating the LiDAR data with precise angle information to ensure accurate and stable positioning. The experiments show that compared with the traditional Kalman filter and adaptive Kalman filter fusion algorithms, the positioning error is reduced by 55.4% and 43.5%. The velocity error is also limited by 78.2% and 57.9%. The standard deviation and the root mean square error are stable within 0.1 m, indicating that our method has better data stability, while the probability of positioning anomaly is effectively controlled.