Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of nano and macro iron sprays on growth, flowering, seed and oil yielding attributes in calendula (Calendula officinalis L.)

The investigation was executed with nine treatments viz. nano forms of ferrous sulfide (7, 14, 21, 28 ppm) and macro ferrous sulphate (0.2, 0.4, 0.6, 0.8 per cent) along with control, and were applied as foliar sprays after 30 days of transplanting on two varieties of calendula namely Fiesta Gitana Mix’ and ‘Fiesta Yellow’ during 2018 and 2019. The experiment was laid out in factorial randomized block design with three replications. Application of 0.8 % FeSO4 recorded maximum number of branches (26.75), plant height (29.73 cm), plant spread (45.17 cm), number of leaves (22.63) and seed test weight (15.63 g) and number of flowers per plant (134.04). However, application of 0.2% macro FeSO4 resulted in early bud appearance (50.50 days) and higher flower diameter (8.09 cm). ‘Fiesta Gitana Mix’ outperformed over ‘Fiesta Yellow’ for most of the vegetative and floral characters. The ‘Fiesta Yellow’ variety with oil content (13.97%) had an edge over ‘Fiesta Gitana Mix’.
Novel Cytotoxic Sesquiterpene Coumarin Ethers and Sulfur-Containing Compounds from the Roots of Ferula turcica

Six new sesquiterpene coumarin ethers, namely turcicanol A (1), turcicanol A acetate (2), turcicanol B (3), turcica ketone (4), 11′-dehydrokaratavicinol (5), and galbanaldehyde (6), and one new sulfur-containing compound, namely turcicasulphide (7), along with thirty-two known secondary metabolites were isolated from the root of the endemic species Ferula turcica Akalın, Miski, & Tuncay through a bioassay-guided isolation approach. The structures of the new compounds were elucidated by spectroscopic analysis and comparison with the literature. Cell growth inhibition of colon cancer cell lines (COLO205 and HCT116) and kidney cancer cell lines (UO31 and A498) was used to guide isolation. Seventeen of the compounds showed significant activity against the cell lines.
5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy

The fifth generation (5G) of mobile networks utilizing millimeter Wave (mmWave) bands can be considered the leading player in meeting the continuously increasing hunger of the end user demands in the near future. However, 5G networks are characterized by high power consumption, which poses a significant challenge to the efficient management of base stations (BSs) and user association. Implementing new power consumption and user association strategies is imperative to address this issue. For that in this work, we focus on the Dual Connectivity-User and Power Allocation (DC-UPA) problem utilizing BS switching on/off along with user dual connectivity. The problem is mathematically formulated as an Integer Linear Program (ILP), and its NP-hardness is proven by showing its equivalence to a variant of the set covering problem. Moreover, we developed two heuristic algorithms: Simulated Annealing (SA) and Distance-Aware (DA) greedy, to mitigate the impact of the problem complexity and resolve the ILP scalability issue. We conducted extensive simulations to validate the effectiveness of the proposed heuristics in a two-dimensional area containing multiple BSs and users with uniform and nonuniform geographical distributions. The performance of the SA and DA algorithms was compared against the ILP approach. We evaluated the performance of the proposed solutions considering different aspects such as the number of users, the BS radius, and the traffic load changes. The numerical results show that SA outperforms the DA in both uniform and nonuniform geographical distributions of users. The SA provides a sub-optimal solution with an optimality gap of about 3.2%, while the optimality gap of the DA is 8.62% in the case of the uniform distribution. Moreover, the optimality gap in the case of nonuniform distribution is equal to about 1% and 5.2% of SA and DA, respectively. Additionally, by utilizing our solutions, the reduction of the level of power consumption up to 16.1% and 20% in the case of uniform and nonuniform distributions can be achieved. The obtained results highlight the efficiency of the proposed algorithms in addressing the DC-UPA problem, providing practical solutions for managing power consumption and maintaining continuous user connectivity in 5G mmWave networks.
The Role of Poly(ADP-ribose) Polymerase 1 in Nuclear and Mitochondrial Base Excision Repair

Poly(ADP-ribose) (PAR) Polymerase 1 (PARP-1), also known as ADP-ribosyl transferase with diphtheria toxin homology 1 (ARTD-1), is a critical player in DNA damage repair, during which it catalyzes the ADP ribosylation of self and target enzymes. While the nuclear localization of PARP-1 has been well established, recent studies also suggest its mitochondrial localization. In this review, we summarize the differences between mitochondrial and nuclear Base Excision Repair (BER) pathways, the involvement of PARP-1 in mitochondrial and nuclear BER, and its functional interplay with other BER enzymes.
Mitochondrial Volume Regulation and Swelling Mechanisms in Cardiomyocytes

Mitochondrion, known as the “powerhouse” of the cell, regulates ion homeostasis, redox state, cell proliferation and differentiation, and lipid synthesis. The inner mitochondrial membrane (IMM) controls mitochondrial metabolism and function. It possesses high levels of proteins that account for ~70% of the membrane mass and are involved in the electron transport chain, oxidative phosphorylation, energy transfer, and ion transport, among others. The mitochondrial matrix volume plays a crucial role in IMM remodeling. Several ion transport mechanisms, particularly K+ and Ca2+, regulate matrix volume. Small increases in matrix volume through IMM alterations can activate mitochondrial respiration, whereas excessive swelling can impair the IMM topology and initiates mitochondria-mediated cell death. The opening of mitochondrial permeability transition pores, the well-characterized phenomenon with unknown molecular identity, in low- and high-conductance modes are involved in physiological and pathological increases of matrix volume. Despite extensive studies, the precise mechanisms underlying changes in matrix volume and IMM structural remodeling in response to energy and oxidative stressors remain unknown. This review summarizes and discusses previous studies on the mechanisms involved in regulating mitochondrial matrix volume, IMM remodeling, and the crosstalk between these processes.
Assessing the Importance of DMOs Websites in Marketing Local Destinations: a Case Study of Minia Governorate)

Destination management organizations (DMOs) are increasingly using the internet as their primary marketing vehicle with the proliferation of online commerce. They are turning to online channels to address the introduction of new behaviors of individuals and visitors with the recent proliferation of the internet. As many potential travellers prefer to look up travel information online. Furthermore, travel information includes itinerary, event calendar, local transportation, hotels, language, currency and visa information. Moreover, customers are increasingly buying their airline tickets online rather than in person. In addition, due to the growing popularity of online transactions, DMOs are increasingly turning to the World Wide Web (WWW) as their primary marketing platform. As well as they are so committed to promoting and presenting their regions that they create official tourism or destination websites. The research is based upon a questionnaire survey distributed to the local population Minia Governorate, and the minia area was represented within the governorate's centres as a sample for data collection. Structural equation modeling is used to examine the relationships between the information Quality provided on the website, the usability of the website and the attitude towards it. The results indicate supporting the marketing of the local destinations through these websites and increasing community awareness of their significance and successful implementation.
Quantifying the efficacy of an automated facial coding software using videos of parents

Introduction This work explores the use of an automated facial coding software - FaceReader - as an alternative and/or complementary method to manual coding. Methods We used videos of parents (fathers, n = 36; mothers, n = 29) taken from the Avon Longitudinal Study of Parents and Children. The videos—obtained during real-life parent-infant interactions in the home—were coded both manually (using an existing coding scheme) and by FaceReader. We established a correspondence between the manual and automated coding categories - namely Positive, Neutral, Negative, and Surprise - before contingency tables were employed to examine the software’s detection rate and quantify the agreement between manual and automated coding. By employing binary logistic regression, we examined the predictive potential of FaceReader outputs in determining manually classified facial expressions. An interaction term was used to investigate the impact of gender on our models, seeking to estimate its influence on the predictive accuracy. Results We found that the automated facial detection rate was low (25.2% for fathers, 24.6% for mothers) compared to manual coding, and discuss some potential explanations for this (e.g., poor lighting and facial occlusion). Our logistic regression analyses found that Surprise and Positive expressions had strong predictive capabilities, whilst Negative expressions performed poorly. Mothers’ faces were more important for predicting Positive and Neutral expressions, whilst fathers’ faces were more important in predicting Negative and Surprise expressions. Discussion We discuss the implications of our findings in the context of future automated facial coding studies, and we emphasise the need to consider gender-specific influences in automated facial coding research.
Molecular diagnosis of Type I diabetes in some Egyptian patients using HLA-DRB1 exon 2 gene

Type 1 diabetes is regarded as a chronic autoimmune disease characterized by dysfunctional T-lymphocyte activation that targets pancreatic Langerhans β-cells, causing insulin deficiency. By raising the amounts of sugar in the blood and urine, this condition causes hyperglycemia. Five groups were chosen for the current experiment, with N standing in for healthy individuals. Four groups of patients were created based on their ages. The bidirectional sequence of the HLA-DRB1 exon 2 gene was determined using blood samples from the five groups. PCR was used to define the gene sequence, amplify it, and isolate the gene for DNA sequencing in two directions. To understand more about the isolated gene and its role in T1DM, bioinformatics analysis of the sequencing output data was carried out. In addition, certain software programs were used by the study teams to forecast the translated protein and RNA secondary structure. The findings showed that an alteration in the secondary structure of RNA affected protein translation and release in bodily cells. Additionally, based on SNP analysis, the four groups' targeted genes revealed mutations caused by the replacement or indel of certain nucleotides, which change the anticipated translated protein in patient groups in comparison to control.
The Role of Social Media Marketing in Healthcare Industry (Case of Georgia)

The article shows that social media marketing plays an important role in the modern healthcare industry. Based on the conducted marketing research it has been identified frequencies of respondents' assessments of social media marketing activities carried out by Georgian healthcare organizations, also Frequencies of respondents' engagement in social media concerning healthcare. It is established through regression analysis the impact of social media marketing activities provided by healthcare organizations on consumer engagement.
A COMPARATIVE STUDY OF SEQUENTIAL ALGORITHM AND SHORTCUT ROUTING ALGORITHM ON MULTIPLE TRAVELLING SALESMAN PROBLEM

Multiple Travelling Salesmen Problem is a complex problem that is to assign a route for the salesman who visits the city having difficulty in the congested roads. The existing Sequential Algorithm is used to select the best path and also manages time complexity in the application but this reduces performance of the salesmen by not providing path equally to the salesmen. So the paper shows how the Shortcut Routing (SR) algorithm provides the best result compare than present algorithm. The main purpose of this algorithm is to gain the solution and also satisfying the problem without doing any changes in the limitation of an application. The final result gives best path and also it reduces time complexity. Keyword: multiple travelling salesman, road congestion, shortcut routing, sequential algorithm.
Threshold Endogeneity in Threshold VARs: An Application to Monetary State Dependence

We contribute a new method for dealing with the problem of endogeneity of the threshold variable in threshold vector auto-regression (TVAR) models. Drawing on copula theory, enables us to capture the dependence structure between the threshold variable and the vector of TVAR innovations, independently of the marginal distribution of the threshold variable. A Monte Carlo demonstrates that our method works well, and that ignoring threshold endogeneity leads to biased estimates of the threshold parameter and the variance-covariance error structure, thus invalidating dynamic analysis. As an application, we assess the effects of interest-rate shocks on output and inflation: when ’expected’ inflation exceeds 3.6%, the effects of monetary policy are faster and stronger than otherwise.
Supervisory Control of Multiple Switching Laws With Performance Guidance for Aeroengines

This brief is concerned with the problem of speed regulation control for a two-spool turbofan engine. Firstly, after analyzing the operation characteristics of the aeroengine, we give multiple switched equilibrium manifold expansion (EME) models on the basis of multiple operation modes. Meanwhile, the switching laws are based on the performance indexes that reflect the operation characteristics of the aeroengine in different operation modes. Then, a supervisor is proposed to orchestrate multiple switching laws through checking which operation mode the aeroengine operates in. Furthermore, to enhance the robustness of the aeroengine control system, an optimal control strategy is employed. However, as an acknowledged difficult problem, the analytic nonlinear optimal controller can be hardly obtained. Therefore, we present a modified linear quadratic regulator algorithm for the controller design and give a notion of an EME controller. Moreover, we offer a design process of the switching controllers and present a sufficient condition of the asymptotic stability of the closed-loop switched system for the aeroengine. Finally, a software simulation and a semiphysical simulation experiment for some aeroengine are provided to demonstrate the effectiveness of the proposed method.
Uniform regularity of fully compressible Hall-MHD systems

In this article we study a fully compressible Hall-MHD system. These equations include shear viscosity, bulk viscosity of the flow, and heat conductivity and resistivity coefficients. We prove uniform regularity estimates. For more information see https://ejde.math.txstate.edu/Volumes/2021/17/abstr.html
Supply Air Window PAZIAUD®: Comparison of Two Numerical Models for Integration in Thermal Building Simulation

The principle of a supply air window is to ensure the renewal airflow between the panes of glass before entering inside the room. The Paziaud® window is composed of three panes of glass separated by ventilated U-shaped air gaps. The goal is to create a passive system of heat recovery contributing also to the room ventilation. The window is modeled in two ways, the first one is based on a numerical model of hydrodynamics and heat transfer, while the other one is based on heat balance represented by an electric analogy. Both results are compared in terms of blowing air temperature and thermal efficiency, and provide a validation of the simplified model, which could be used later in a numerical thermal code.
Development of an Antiviral Ion-Activated In Situ Gel Containing 18β-Glycyrrhetinic Acid: A Promising Alternative against Respiratory Syncytial Virus

The human respiratory syncytial virus (hRSV) is a major cause of serious lower respiratory infections and poses a considerable risk to public health globally. Only a few treatments are currently used to treat RSV infections, and there is no RSV vaccination. Therefore, the need for clinically applicable, affordable, and safe RSV prevention and treatment solutions is urgent. In this study, an ion-activated in situ gelling formulation containing the broad-spectrum antiviral 18β-glycyrrhetinic acid (GA) was developed for its antiviral effect on RSV. In this context, pH, mechanical characteristics, ex vivo mucoadhesive strength, in vitro drug release pattern, sprayability, drug content, and stability were all examined. Rheological characteristics were also tested using in vitro gelation capacity and rheological synergism tests. Finally, the cytotoxic and antiviral activities of the optimized in situ gelling formulation on RSV cultured in the human laryngeal epidermoid carcinoma (HEp-2) cell line were evaluated. In conclusion, the optimized formulation prepared with a combination of 0.5% w/w gellan gum and 0.5% w/w sodium carboxymethylcellulose demonstrated good gelation capacity and sprayability (weight deviation between the first day of the experiment (T0) and the last day of the experiment (T14) was 0.34%), desired rheological synergism (mucoadhesive force (Fb): 9.53 Pa), mechanical characteristics (adhesiveness: 0.300 ± 0.05 mJ), ex vivo bioadhesion force (19.67 ± 1.90 g), drug content uniformity (RSD%: 0.494), and sustained drug release over a period of 6 h (24.56% ± 0.49). The optimized formulation demonstrated strong anti-hRSV activity (simultaneous half maximal effective concentration (EC50) = 0.05 µg/mL; selectivity index (SI) = 306; pre-infection EC50 = 0.154 µg/mL; SI = 100), which was significantly higher than that of ribavirin (EC50 = 4.189 µg/mL; SI = 28) used as a positive control against hRSV, according to the results of the antiviral activity test. In conclusion, this study showed that nasal in situ gelling spray can prevent viral infection and replication by directly inhibiting viral entry or modulating viral replication.
Adjacent bin stability evaluating for feature description

Recent study improves descriptor performance by accumulating stability votes for all scale pairs to compose the local descriptor. We argue that the stability of a bin depends on the differences across adjacent pairs more than the differences across all scale pairs, and a new local descriptor is composed based on the hypothesis. A series of SIFT descriptors are extracted from multiple scales firstly. Then the difference value of the bin across adjacent scales is calculated, and the stability value of a bin is calculated based on it and accumulated to compose the final descriptor. The performance of the proposed method is evaluated with two popular matching datasets, and compared with other state-of-the-art works. Experimental results show that the proposed method performs satisfactorily.
Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big Data Analysis

The rapid development of Internet of Things (IoT) communication devices has brought about significant convenience. However, simultaneously, the destruction of communication infrastructure in emergency situations often leads to communication disruptions and challenges in information dissemination, severely impacting rescue operations and the safety of the affected individuals. To address this challenge, IoT big data analytics and unmanned aerial vehicle (UAV) technologies have emerged as key elements in the solution. By analyzing large-scale sensor data, user behavior, and communication traffic, IoT big data analytics can provide real-time communication demand prediction and network optimization strategies, offering decision support for post-disaster communication reconstruction. Given the unique characteristics of post-disaster scenarios, this paper proposes a UAV-assisted communication coverage strategy based on IoT big data analytics. This strategy employs UAVs in a cruising manner to assist in communication by partitioning the target area into multiple cells, each satisfying the minimum data requirements for user communication. Depending on the distribution characteristics of users, flight–communication or hover-communication protocols are selectively employed to support communication. By optimizing the UAV’s flight speed and considering the coverage index, fairness index, and average energy efficiency of the mission’s target area, the Inner Spiral Cruise Communication Coverage (IS-CCC) algorithm is proposed to plan the UAV’s cruising trajectory and achieve UAV-based communication coverage. Simulation results demonstrate that this strategy can achieve energy-efficient cruising communication coverage in regions with complex user distributions, thereby reducing energy consumption in UAV-based communication.
Inflationary Universe : Power Spectra in Single-Field Inflation and Adiabatic Regularization

The power spectrum of primordial cosmological perturbations is one of the most important physical quantities in inflationary cosmology. From a mathematical and field-theoretic perspective, self-consistency requires that two-point function of these perturbations and the power spectrum are divergence-free. In this work, we characterize the divergences present in one implementation of a promising semi-analytical method for calculating the (“bare”) power spectrum, namely, uniform approximation. Our analysis indicates that all divergences in the calculation in minimally coupled general single-field inflation, are logarithmic in nature, and that the power spectrum is only finite up to second order in the slow-roll parameters. In addition to this, we perform adiabatic regularization of the power spectrum in two generalizations of the canonical inflation model covering minimally and nonminimally coupled cases. In both of these cases, we find that the physical power spectrum converges to the “bare” power spectrum. This justifies the use of the “bare” power spectrum in standard calculations in inflationary cosmology.
Rational Structures and Fractional Differential Refinements

In the following thesis, we explore the notion of rational Fivebrane structures. This is done through a combination of obstruction theory and rational homotopy theory. We show that these structures can be classified to some degree by the underlying Spin bundle. From there we turn our focus to the differential setting. Using this relation to the Spin bundle, we apply the classical machinery of Cheeger and Simons to understand differential rational Fivebrane classes. Finally we use these classes to obtain information for differential trivializations in the integral case. In doing this we introduce the exact braid diagram.