Miracle-dz/UniFAR-FTUs huggingface dataset:
Selection of suitable lily cultivars by using needle agroinfiltration for blue flower production

ABSTRACT Lily is one of the most important flower crops that it lacks blue-purple flowers due to the absence of the flavonoid 3’,5’-hydroxylase gene and deficiency of delphinidin accumulation. In this study, the possibility of transient expression of F3ʹ5’H gene and delphinidin accumulation were examined by agroinfiltration method in petals of six commercial lily cultivars. Three sizes of the flower buds and new blossomed flowers were harvested and measured for anthocyanidin content by the high-performance liquid chromatography to determine the appropriate stage for agroinfiltration. Then, the petals were infiltrated at the best stage with two vectors namely pBI121-35S carrying only F3ʹ5’H and pBIH-35S-Del2 harbouring F3ʹ5’H, DFR and ANS genes. The results indicated that the largest buds and new blossomed flowers showed the highest contents of anthocyanins in all subjected cultivars. Therefore, new blossomed flowers were injected with two different expression vectors. The HPLC analyses showed the highest delphinidin contents were detected in the two cultivars ‘Brindisi’ and ‘Gaucho’ by 77.63 and 43.60 μg g−1 fresh weights, respectively, when they were infiltrated with the pBIH-35S-Del2 construct. Real-Time PCR confirmed the results of anthocyanin measurements properly. Consequently, these two cultivars were selected as the appropriate hosts for lily stable transformation programmes. Abbreviations: ANS: Anthocyanidin synthase; CaMV: Cauliflower mosaic virus; CHS: Chalcone synthase; CTAB: Cetyl trimethyl ammonium bromide; DFR: Dihydroflavonol 4-reductase; DHK: Dihydrokaempferol; DHM: Dihydromyricetin; F3ʹH: Flavonoid 3’-hydroxylase; F3ʹ5’H: Flavonoid 3’, 5’-hydroxylase; FW: Fresh weight; GUS: β-glucuronidase; HPLC: High performance liquid chromatography; OD: Optical density; T-DNA: Transfer deoxyribonucleic acid.
How to assess IOP Peak and its Importance in Glaucoma Management

Elevated intra-ocular pressure (IOP) and mean IOP are considered the main risk factors for the development and progression of glaucoma. However, some patients still progress with IOP apparently in the target range. This observation has been explained on the basis that other non-IOP dependent risk factors are contributing to the glaucoma pathogenesis in these individuals. An alternative explanation is that progression occurs at least in - part due to high IOP peaks not detected during routine eye examinations. Several studies have demonstrated that peak IOP may be a better predictor of glaucoma progression. IOP peak assessment has been used recently to verify if the peak pressure of a given patient is in target range, to evaluate glaucoma suspect risk, the efficacy of hypotensive drugs and to detect early loss of IOP control. These are important aims to be addressed in glaucoma management. Several methods have been described to assess IOP peaks. The costs and labor involved in this make the determination of the 24-hour IOP or contact lens-sensor are difficult if not impossible in all patients. Recently the water drinking test (WDT) has been used as a surrogate marker for outflow reserve to detect IOP instability and to estimate IOP peak pressure. Peak IOP elicited by this test may be an indicator for the likelihood of progression and efficacy of hypotensive drugs the aim this manuscript is to present the importance of detecting IOP peaks in glaucoma management.
Aerodynamic Analysis of a Flapping Rotary Wing at a Low Reynolds Number

A flapping rotary wing is a novel layout for micro air vehicle design. A computational fluid dynamics method is employed to understand the unsteady aerodynamic behavior of such a layout at a low Reynolds number. A comparison of flow between an flapping wing and a typical flapping rotary wing is conducted to evaluate the effect of rotational moment. Although the mean lift of the flapping wing is close to zero, a large mean rotational moment can drive the wing to rotate. A large mean lift coefficient can be obtained when the wing begins to rotate, but the mean rotational moment coefficient starts to decrease. The leading-edge vortex is attached to the wing surface until it moves to the trailing edge, despite the negative spanwise flow near the tip. The aerodynamic force depends on nondimensional variables, including flapping amplitude, mean angle of attack, pitching amplitude, ratio of period of flapping to rotation motion n, and Reynolds number. An analysis of these nondimensional variables shows that only.
A Multisource Domain Adaptation Network for Process Fault Diagnosis Under Different Working Conditions

Transfer learning-based process fault diagnosis has received intensive attention from researchers. However, a practical scenario of process fault diagnosis (i.e., multisource domain adaptation) has not been well solved under various working conditions. It is challenging since distribution difference coexists between different source domains and across source and target domains. In this article, a novel transfer learning model, feature-level, and class-level based multisource domain adaptation (FC-MSDA) is proposed for process fault diagnosis under varying working conditions. A common feature extractor is proposed to learn both global and local features from process signals. A feature selection module is developed to reduce negative transfer caused by irrelevant information in multiple source domains. Domain specific feature generator is developed for each source-target domain pair to learn domain-specific features. Moreover, class-level distribution alignment loss is proposed for each domain pair to settle the negative transfer caused by inconsistent label space between domains from different working conditions of process. An information fusion strategy is performed to ensemble multiple predictions. The experimental results on three industrial cases demonstrate the effectiveness of FC-MSDA in process fault diagnosis (i.e., FC-MSDA obtains the average accuracy of 99.17% on five transfer tasks in three phase process).
Universal Theory of Relativity and the "Unification" of Fundamental Physical Interactions

The ``unification'' of fundamental physical forces (interactions) imagines a ``single'' conceptual entity using which {\em all} the observable or physical phenomena, {\em ie}, changes to physical bodies, would be suitably describable. The physical, conceptual and mathematical, framework which achieves this is that of the recently proposed Universal Theory of Relativity \cite{smw-utr}. Here, we argue that the mathematical framework required to achieve the ``unification'' should be that of the general Category Theory. There are certain unanswered mathematical questions arising out of this context. In the sequel, we also point out these issues for the wider attention.
A Fermi-Dirac Statistics Based Quantum Energy Transport Model for High Mobility MOSFETs

In this paper, a Fermi-Dirac statistics based quantum energy transport (FDQET) model is developed for numerical simulations of high mobility MOSFETs. The QET model allows simulations of carrier transport including quantum conﬁnement and hot carrier ef-fects. Fermi-Dirac statistics are further considered for the analysis of device characteristics with high degeneracy material such as In 0 : 53 Ga 0 : 47 As. Numerical stability and convergence are achieved by developing an iterative solution method used when Fermi-Dirac statistics are modeled. Numerical results for Si, Ge and In 0 : 53 Ga 0 : 47 As bulk n-MOSFETs are presented. The FDQET model allows us to evaluate the device characteristics with high degeneracy material such as In 0 : 53 Ga 0 : 47 As.
New Oral Anticoagulants Open New Horizons for Cancer Patients with Venous Thromboembolism

Abstract Venous thromboembolism (VTE) is associated with increased morbidity and mortality, decreased quality of life, and higher economic burden in patients with cancer. Currently, the treatment of VTE in patients with cancer is particularly challenging. For many years, low molecular weight heparin (LMWHs) has been the standard for the treatment of cancer-associated VTE. Recently, the introduction of new oral anticoagulants (NOACs) may offer an oral anticoagulant option for some patients with cancer-associated thrombosis (CAT) as a growing body of literature supports the use of NOACs in the setting of CAT. With the use of NOAC as a new option in the management of CAT, clinicians now face several choices for the individual cancer patient with VTE. We need a more in-depth understanding of the drug properties, efficacy and safety, economic analysis that allows us to choose the most appropriate treatment for each patient. In the review, we will present an overview of CAT management, discuss the available evidence, economic costs for NOACs in the treatment of CAT, and seek to provide the best range of treatments for cancer patients.
Changes in Physical Fitness during the COVID-19 Pandemic in German Children

With the beginning of the COVID-19 pandemic in December 2019, each country has developed strategies to try to control the virus. The restrictions and subsequent consequences also limited the possibilities and structures for being physically active. Therefore, the aim of this study was to examine changes in physical fitness in a cohort that was investigated over an extended period. Physical fitness testing was conducted with the IPPTP-R in a primary school from a small rural community annually since 2012. Mean values of test items were calculated for each cohort. We conducted an ANCOVA to examine the differences between cohorts PreCOVID and 2020 as the first year of the COVID-19 pandemic, and between PreCOVID and 2021 as the second year of the COVID-19 pandemic. Overall, no evidence for a negative effect of the COVID-19 pandemic on physical fitness in children between the ages of 7 and 9 years was found. In strength tests, performances increased when comparing the PreCOVID cohort and COVID-19 cohorts (Push-Ups: p < 0.001, ηp2 = 0.032; p = 0.017, ηp2 = 0.006). No evidence for a change was found for endurance (6-min Run: p = 0.341, ηp2 = 0.001; p = 0.267, ηp2 = 0.001. The rural community maintained physical fitness despite restrictions and limitations through the environmental circumstances. Considering this, it is a positive example of how adequate long-term efforts promoting physical fitness make an impact and an active friendly environment helps to overcome COVID-19 pandemics limiting the structures for being physically active.
Utilization of Aminoguanidine Prevents Cytotoxic Effects of Semen

Studies of human semen in cell or tissue culture are hampered by the high cytotoxic activity of this body fluid. The components responsible for the cell damaging activity of semen are amine oxidases, which convert abundant polyamines, such as spermine or spermidine in seminal plasma into toxic intermediates. Amine oxidases are naturally present at low concentrations in seminal plasma and at high concentrations in fetal calf serum, a commonly used cell culture supplement. Here, we show that, in the presence of fetal calf serum, seminal plasma, as well as the polyamines spermine and spermidine, are highly cytotoxic to immortalized cells, primary blood mononuclear cells, and vaginal tissue. Thus, experiments investigating the effect of polyamines and seminal plasma on cellular functions should be performed with great caution, considering the confounding cytotoxic effects. The addition of the amine oxidase inhibitor aminoguanidine to fetal calf serum and/or the utilization of serum-free medium greatly reduced this serum-induced cytotoxicity of polyamines and seminal plasma in cell lines, primary cells, and tissues and, thus, should be implemented in all future studies analyzing the role of polyamines and semen on cellular functions.
Lane-Change in Dense Traffic With Model Predictive Control and Neural Networks

This article presents an online smooth-path lane-change control framework. We focus on dense traffic where intervehicle space gaps are narrow, and cooperation with surrounding drivers is essential to achieve the lane-change maneuver. We propose a two-stage control framework that harmonizes model predictive control (MPC) with generative adversarial networks (GANs) by utilizing driving intentions to generate smooth lane-change maneuvers. To improve performance in practice, the system is augmented with an adaptive safety boundary and a Kalman filter to mitigate sensor noise. Simulation studies are investigated at different levels of traffic density and cooperativeness of other drivers. The simulation results support the effectiveness, driving comfort, and safety of the proposed method.
Functional Component Analysis and Regression Using Elastic Methods

Constructing generative models for functional observations is an important task in statistical function analysis. In general, functional data contains both phase (or x or horizontal) and amplitude (or y or vertical) variability. Traditional methods often ignore the phase variability and focus solely on the amplitude variation, using cross-sectional techniques such as functional principal component analysis for dimensional reduction and regression for data modeling. Ignoring phase variability leads to a loss of structure in the data, and inefficiency in data models. Moreover, most methods use a “pre-processing” alignment step to remove the phase-variability; without considering a more natural joint solution. This dissertation presents three approaches to this problem. The first relies on separating the phase (x-axis) and amplitude (y-axis), then modeling these components using joint distributions. This separation in turn, is performed using a technique called elastic alignment of functions that involves a new mathematical representation of functional data. Then, using individual principal components, one for each phase and amplitude components, it imposes joint probability models on principal coefficients of these components while respecting the nonlinear geometry of the phase representation space. The second combines the phase-variability into the objective function for two component analysis methods, functional principal component analysis and functional principal least squares. This creates a more complete solution, as the phase-variability is removed while simultaneously extracting the components. The third approach combines the phase-variability into the functional linear regression model and then extends the model to logistic and multinomial logistic regression. Through incorporating the phase-variability a more parsimonious regression model is obtained and therefore, more accurate prediction of observations is achieved. These models then are easily extended from functional data to curves (which are essentially functions in R2) to perform regression with curves as predictors. These ideas are demonstrated using random sampling for models estimated from simulated and real datasets, and show their superiority over models that ignore phase-amplitude separation. Furthermore, the models are applied to classification of functional data and achieve high performance in applications involving SONAR signals of underwater objects, handwritten signatures, periodic body movements recorded by smart phones, and physiological data.
Sport and Mobile TV: conceptualization and Empirical Analysis of a Mobile TV Usage Model

The aim of this research was to explain the importance of sport in the use of digital media services on mobile devices. Relevant factors related to mobile TV usage were identified and the strength of their influence was analyzed to show that sport is a driving force for mobile TV usage. Inspired by service-dominant logic (SDL) and the sport value framework (SVF), an innovative research model was specified and tested empirically among three samples from Australia, Germany, and the U.S.A. SDL and SVF suggest value is always co-created and context dependent. Thus, usage situations were integrated as contextual factors in a structural equation model, with interest in sport and other psychological factors as independent variables and mobile TV usage intention as dependent variable. This study is one of the first empirically testing what motives lead to mobile sport viewing and how interest in sport drives mobile TV usage. The empirical findings imply that consumer interest in sport is highly relevant for media technology usage. They further demonstrate that usage context really matters.
Adaptation and Evaluation of a German Sign Language Test

Despite the current need for reliable and valid test instruments to monitor the sign language acquisition of Deaf children in different countries, very few tests offering strong evidence for their psychometric properties are commercially available. A German Sign Language (DGS) test that focuses on linguistic structures acquired in preschool- and school-aged children (4–8 years old) is urgently needed. The present study uses as a template a test which has sound psychometric properties and has been standardized on another sign language as a starting point for tests of sign languages that are less documented, such as DGS. This book makes a novel contribution to the field by examining linguistic, cultural, methodological, and theoretical issues in the process of the adaptation from the source language test to the target language test, and by providing a model for future test adaptations. It also includes concrete steps for the test development and adaptation process. Adaptation and Evaluation of a German Sign Language Test addresses students and researchers alike who are involved in sign language test development and adaptation. It also provides a comprehensive summary in German.
Rotating nasal masks with nasal prongs reduces the incidence of moderate to severe nasal injury in preterm infants supported by noninvasive ventilation

Objective To investigate the association between noninvasive ventilation delivery devices and the incidence of nasal septum injury in preterm infants. Methods This retrospective singlecenter cohort study included preterm infants supported by noninvasive ventilation. The incidence of nasal injury was compared among three groups according to the noninvasive ventilation delivery device (G1 - nasal mask; G2 - binasal prongs; and G3, rotation of nasal mask with prongs). Nasal injury was classified according to the National Pressure Ulcer Advisory Panel as stages 1 - 4. Multivariate regression analyses were performed to estimate relative risks to identify possible predictors associated with medical device-related injuries. Results Among the 300 infants included in the study, the incidence of medical device-related injuries in the rotating group was significantly lower than that in the continuous mask or prong groups (n = 68; 40.48%; p value < 0.01). The basal prong group presented more stage 2 injuries (n = 15; 55.56%; p < 0.01). Staying ≥ 7 days in noninvasive ventilation was associated with a higher frequency of medical device-related injuries, regardless of device (63.81%; p < 0.01). Daily increments in noninvasive ventilation increased the risk for nasal injury by 4% (95%CI 1.02 - 1.06; p < 0.01). Higher birth weight indicated protection against medical device-related injuries. Each gained gram represented a decrease of 1% in the risk of developing nasal septum injury (RR: 0.99; 95%CI 0.99 - 0.99; p < 0.04). Conclusion Rotating nasal masks with nasal prongs reduces the incidence of moderate to severe nasal injury in comparison with single devices. The addition of days using noninvasive ventilation seems to contribute to medical device-related injuries, and higher birth weight is a protective factor.
Embroidering as a transformative occupation

ABSTRACT The influence of arts on health has long been researched but often in general terms or related to a patient population. Specific practice within everyday life remains under investigated. In this paper I argue that embroidering is an occupation where limited knowledge exists about how engagement might influence health. This qualitative narrative inquiry-based study was situated in the United Kingdom and gathered discursive data over 6 months with five women who embroidered. The research question aimed to establish how embroidering influences meaningful change within the context of a person’s everyday life. Interpreted through narrative analysis, the findings suggest that embroidering can promote meaningful change through an intimate companionship of body, mind, and materials. This companionship is situated, reciprocal, develops over time, and is proposed as the means for health potential. Once established, this companionship provides resources that can be used to manage everyday life and thus promote health and well-being. Considered as active agents in the embroidering process, materials can incite a combination of mental and physical responses, which become meaningful experiences associated with embroidering. These experiences may explain the recent fervour of crafting in everyday western societies and supports research that shows that the arts are a crucial component of health and well-being. In line with global health initiatives, consideration of the therapeutic companionship of body, mind, and materials is needed to further explore the transformative potential of engagement in specific crafts as media for improving and sustaining health and well-being.
Reproduction influences seasonal eDNA variation in a temperate marine fish community

Many factors influence how environmental DNA (eDNA) abundance varies in natural environments. One of the least studied contributors to eDNA variation is that of reproduction. Marine organisms that broadcast spawn are expected to shed increased quantities of DNA in association with the release of gametes and the elevated levels of activity associated with reproduction. To test this hypothesis at the community level, we present a year‐long eDNA time‐series of a temperate sea‐shelf fish assemblage combined with adult fish and ichthyoplankton abundance data. Our results show that eDNA is associated with species abundance estimated by conventional fish surveys at all life stages (adult, larval, and egg), and was on average 2.3‐fold more abundant during predicted fish reproductive periods.
CLASSIFICATION OF STELLAR ORBITS IN AXISYMMETRIC GALAXIES

It is known that two supermassive black holes (SMBHs) cannot merge in a spherical galaxy within a Hubble time; an emerging picture is that galaxy geometry, rotation, and large potential perturbations may usher the SMBH binary through the critical three-body scattering phase and ultimately drive the SMBH to coalesce. We explore the orbital content within an N-body model of a mildly flattened, non-rotating, SMBH-embedded elliptical galaxy. When used as the foundation for a study on the SMBH binary coalescence, the black holes bypassed the binary stalling often seen within spherical galaxies and merged on gigayear timescales. Using both frequency-mapping and angular momentum criteria, we identify a wealth of resonant orbits in the axisymmetric model, including saucers, that are absent from an otherwise identical spherical system and that can potentially interact with the binary. We quantified the set of orbits that could be scattered by the SMBH binary, and found that the axisymmetric model contained nearly six times the number of these potential loss cone orbits compared to our equivalent spherical model. In this flattened model, the mass of these orbits is more than three times that of the SMBH, which is consistent with what the SMBH binary needs to scatter to transition into the gravitational wave regime.