Miracle-dz/UniFAR-FTUs huggingface dataset:
Extending Target Tracking Capabilities through Trajectory and Momentum Setpoint Optimization

Terrestrial target tracking is performed by many communications and Earth observation missions to track groundfixed targets. Previous Space Flight Laboratory (SFL) missions have demonstrated target tracking with high pointing accuracy, enabled by the use of an on-board star tracker. The allowable target tracking trajectories for these missions is constrained by the need to point the star tracker away from the Sun and Earth, which often means operating with a restricted envelope of allowable targets. An additional issue affecting target tracking missions is the stictioninduced jitter associated with reaction wheel zero speed crossings. This paper presents the development of 3TECS, a software platform with the dual purpose of performing trajectory optimization to achieve minimum energy slews under star tracker exclusion constraints, and momentum setpoint optimization for reaction wheel zero-crossing placement. It is shown that, for SFL’s DAUNTLESS-class spacecraft, the trajectory planning results in the ability to track any target visible below the horizon with greater than 98.7% star tracker availability, across a wide range of orbits. Additionally, we show that the momentum setpoint planning provides low-jitter payload operation windows of greater than 160 s in duration. This is in contrast to the existing solution that can result in zero-crossing jitter directly coinciding with key payload operations.
Psychosocial assessment of male patients with persistent idiopathic facial pain—a pilot study

Studies have shown that up to 70% of patients with depressive and anxiety disorders may also experience chronic pain. This study aimed to examine the correlation between depression, anxiety symptoms, sleep quality and personality traits in male patients with persistent idiopathic facial pain. The research protocol was registered to international clinical trials registre. Adult patients who had visited the Hospital of University of Health Sciences clinics between 2019 and 2021 with a diagnosis of G50.1 (International Clasification of Disease Tenth revision (ICD-10)) “Atypical Facial Pain” were included in the study. The control group comprised patients with an obvious cause of chronic pain—unilateral post-fracture mandibular pain. The factors assessed in this study were pain, the tendency towards depression and anxiety, sleep quality and personality traits. Of the 20 patients eligible, we found no significant differences between the two groups in terms of personality traits, anxiety, depression and sleep quality. However, we found that pain score was significantly correlated with higher depression scores and that anxiety and depression scores were positively intercorrelated in the experimental group. Our findings indicate that male patients with persistent idiopathic facial pain may present with prominent, but not dominant, depression and anxiety symptoms, and a significant proportion may also have sleep disorders. Neuroticism appears to be associated with both mood disorders and poor sleep quality in male patients with persistent idiopathic facial pain.
Analysis of noise-induced transitions in a generalized logistic model with delay near Neimark–Sacker bifurcation

We consider an effect of random disturbances on the generalized logistic model with delay in mono- and bistable regimes near Neimark–Sacker bifurcation. Noise-induced transitions between coexisting attractors, and between separate parts of the unique attractor, are studied. We suggest a semi-analytical approach that combines a geometric analysis of the mutual arrangement of attractors, their basins of attraction, and corresponding confidence domains found by the stochastic sensitivity functions technique. Constructive abilities of this approach are demonstrated for the generalized logistic model with delay.
Prediction of benign and malignant breast cancer using data mining techniques

Breast cancer is the second most leading cancer occurring in women compared to all other cancers. Around 1.1 million cases were recorded in 2004. Observed rates of this cancer increase with industrialization and urbanization and also with facilities for early detection. It remains much more common in high-income countries but is now increasing rapidly in middle- and low-income countries including within Africa, much of Asia, and Latin America. Breast cancer is fatal in under half of all cases and is the leading cause of death from cancer in women, accounting for 16% of all cancer deaths worldwide. The objective of this research paper is to present a report on breast cancer where we took advantage of those available technological advancements to develop prediction models for breast cancer survivability. We used three popular data mining algorithms (Naïve Bayes, RBF Network, J48) to develop the prediction models using a large dataset (683 breast cancer cases). We also used 10-fold cross-validation methods to measure the unbiased estimate of the three prediction models for performance comparison purposes. The results (based on average accuracy Breast Cancer dataset) indicated that the Naïve Bayes is the best predictor with 97.36% accuracy on the holdout sample (this prediction accuracy is better than any reported in the literature), RBF Network came out to be the second with 96.77% accuracy, J48 came out third with 93.41% accuracy.
A randomized interventional clinical trial assessing the safety and effectiveness of PeaNoc XL tablets in managing joint pain and inflammation in arthritis patients

Background: Globally, alternative medicine is used widely by most patients for several health challenges. To evaluate the effectiveness and safety of PeaNoc XL Tablet in managing pain and inflammation, a randomized clinical trial and systematic study was designed. PeaNoc XL Tablet has been widely utilized for pain and inflammation management, but no previous studies have examined its efficacy and safety. The aim of this study was to determine the clinical effectiveness and safety profile of PeaNoc XL in patients with arthritis experiencing joint pain and inflammation. Methods: A randomized, controlled, and an open-label trial was conducted. A total of 155 patients (18 to 60 years) with arthritis were enrolled for participation. Using computer-generated random sequences, the study population was divided into two groups in a randomized manner. Group A received Standard therapy and Group B received Standard therapy with PeaNoc XL Tablet 400mg (two tablets OD after food). Results: Out of 155 patients, a total of 83 individuals were excluded from the study, leaving 72 patients who were randomly assigned to either Group A (n=36) or Group B (n=36). The administration of PeaNoc XL as an adjunct to standard therapy resulted in a significant reduction in levels of TNF-α (P<0.01), IL-1β (P<0.001), IL-6 (P<0.01), and CRP (P<0.01) in arthritis patients experiencing joint pain and inflammation. Conversely, no notable differences were observed from the baseline in the standard therapy group. Conclusions: After 12 weeks of supplementation of PeaNoc XL tablets, as an add-on therapy helps in the reduction of pain score, joint stiffness, and physical stiffness. Trial registration: CTRI/2022/10/046693.
Firm Status and Scope: A Dynamic View

This paper extends the traditional transaction cost economics (TCE) perspective by taking account of status differences of transaction participants. Based on the status-based model of market competition proposed by Podolny (1993), I examine how transaction cost advantages or disadvantages originating from status differences affect market participants’ economic incentives and strategic objectives regarding their vertical and horizontal scope decision. I also examine long-term consequences of firms’ decisions and the implications of these consequences for high and low status firms. Considering status differences makes it clear that a considerable conceptual overlap exists between TCE and the resource-based view (RBV).
Crime Modeling using Spatial Regression Approach

Act of criminality in Indonesia increased both variety and quantity every year. As murder, rape, assault, vandalism, theft, fraud, fencing, and other cases that make people feel unsafe. Risk of society exposed to crime is the number of reported cases in the police institution. The higher of the number of reporter to the police institution then the number of crime in the region is increasing. In this research, modeling criminality in South Sulawesi, Indonesia with the dependent variable used is the society exposed to the risk of crime. Modelling done by area approach is the using Spatial Autoregressive (SAR) and Spatial Error Model (SEM) methods. The independent variable used is the population density, the number of poor population, GDP per capita, unemployment and the human development index (HDI). Based on the analysis using spatial regression can be shown that there are no dependencies spatial both lag or errors in South Sulawesi.
Backflow vortex behaviours in contra-rotating axial flow pump at low flow rates

Backflow usually exists at the inlet of rotors of many turbomachines at low flow rates. In counter-rotating rotors applied for the axial flow pump, such vortical structures are also able to form. In our previous researches, some broad-banded pressure fluctuations in low frequency range have been observed between front and rear rotors, but we have not yet been able to explain what causes such phenomenon. In this study, in order to find out the causes of low frequency components at low flow rates, unsteady numerical simulations for the whole front and rear rotors are conducted, and casing pressure is experimentally measured at the inlet and outlet of front rotor and the inlet of rear rotor. It is found that vortical structures exist between front and rear rotors at below 40% of design flow rate. These vortices seem to be the result of shear layer instability at the impingement location of the exiting flow from front rotor to the backflow of rear rotor. The behaviours of these backflow vortices and their interaction with front rotor contribute the low frequency components in pressure fluctuations observed at low flow rates.
Accounting Information System Quality's Effect on Accounting Information Quality

This study aims to examine the extent to which accounting information system quality influences accounting information quality. This study's demographic consisted of accounting and finance personnel in Indonesia. The purposive sampling strategy was used in this investigation, and the method used is a survey method. Primary data are used, which are processed statistically using SEM Partial Least Square (PLS) questionnaires as the research instrument. The statistical analysis method uses SEM because there may be a causal relationship between the variables, and each variable is not observed. According to the study's findings, the effectiveness of accountability information systems influences the effectiveness of accountability information. According to the concept, the successful application of accounting information systems helps users make decisions. Additionally, performance will be impacted by the caliber of accounting data.
Tissue Specific Distribution and Activation of Sapindaceae Toxins in Horses Suffering from Atypical Myopathy

Simple Summary Equids kept at pasture are at risk of being intoxicated by ingesting sycamore maple seeds or seedlings, which contain the two non-proteinogenic amino acids hypoglycin A and methylenecyclopropylglycine. These amino acids are converted into effective toxins by metabolic processes, inducing severe damage to oxidative muscles. Toxic metabolites are known to disrupt the cellular use of important energy sources such as short- and medium-chain fatty acids or branched-chain amino acids. The comparative examination of different tissues from five horses that died from this environmental intoxication named atypical myopathy revealed that the highest concentration of active toxins was found in muscles. In all the tissues analyzed, there was still unmetabolized hypoglycin A, which suggests that inhibiting the conversion of protoxins into toxic metabolites would be a possible therapeutic approach. Abstract Equine atypical myopathy is caused by hypoglycin A (HGA) and methylenecyclopropylglycine (MCPrG), the known protoxins of sycamore maple (Acer pseudoplatanus). Various tissues from five atypical myopathy cases were analyzed but only HGA was found. Whether deamination of MCPrG has already occurred in the intestine as the first stage of metabolization has not been investigated. Activation of the protoxins to methylenecyclopropylacetyl (MCPA)-CoA and methylenecyclopropylformyl (MCPF)-CoA, respectively, occurred mainly in the skeletal muscles, as evidenced by very high concentrations of MCPA-carnitine and MCPF-carnitine in this tissue. Inhibition of the acyl-CoA dehydrogenases of short- and medium-chain as well as branched-chain fatty acids by the toxins led to a strong increase in the corresponding acylcarnitines, again preferentially in skeletal muscles. An accumulation of the long-chain acylcarnitines beyond the level of the control samples could not be detected in the tissues. As a high amount of HGA was always found unmetabolized in the organs, we speculate that targeting the interruption of further metabolization might be a way to stop the progression of intoxication. Inhibition of the mitochondrial branched-chain amino acid aminotransferase, i.e., the first enzyme responsible for the activation of sycamore maple protoxins, could be a therapeutic approach.
Impact Analysis of Smart Road Stud on Driving Behavior and Traffic Flow in Two-Lane Two-Way Highway

The smart road stud (SRS) system can improve the driver’s overtaking behavior through light guidance, which shows great potential in raising the traffic efficiency of two-way two-lane roads (TWTL). In this paper, we propose a light guidance system based on SRS and a combination of driving simulator and microscopic traffic simulation methodologies for evaluating the effect of smart road studs on a TWTL traffic flow. The driving simulation results reveal that SRSs do not only drastically alter microscopic driving characteristics but also it significantly influences drivers’ decision-making process for overtaking. The frequency of overtaking with SRS escalated by 114.58% compared to that without, with the key differential in overtaking decision patterns manifesting predominantly in the selection of distance between oncoming vehicles traveling in the opposite direction. Microsimulation results demonstrate that the implementation of a smart stud system can enhance both the safety and traffic efficiency on the TWTL roadway with limited sight.
Some I-Related Properties of Triple Sequences

Ideal convergence was presented by Kostyrko et al in 2001. This concept was extended to the double sequences by Tripathy et. al in 2006. In this paper we introduce the notions of I -convergence, I -bounded, I -inferior and I -superior for triple sequences. We also investigate some further properties of I -limit superior and I -limit inferior of triple sequences.
Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

A data-driven model is proposed for the prediction of the velocity field around a cylinder by fusion convolutional neural networks (CNNs) using measurements of the pressure field on the cylinder. The model is based on the close relationship between the Reynolds stresses in the wake, the wake formation length, and the base pressure. Numerical simulations of flow around a cylinder at various Reynolds numbers are carried out to establish a dataset capturing the effect of the Reynolds number on various flow properties. The time series of pressure fluctuations on the cylinder is converted into a grid-like spatial-temporal topology to be handled as the input of a CNN. A CNN architecture composed of a fusion of paths with and without a pooling layer is designed. This architecture can capture both accurate spatial-temporal information and the features that are invariant of small translations in the temporal dimension of pressure fluctuations on the cylinder. The CNN is trained using the computational fluid dynami.
THE OPTICS OF THE COMPRESSIBLE N = 2 VORTEX

This paper deals with the refracted shadows generated by the n = 2 compressible vortex. A more pragmatic picture of the optical phenomenon emerges when the flow instead of being isentropic is permitted to transfer heat and dissipate mechanical energy. The visual side of the formulation adheres to the long-established shadowgraph technique. It is shown that although the constant entropy hypothesis retains the qualitative nature of the phenomenon, the present approach improves on the quantitative side of the problem. It reveals that the central dark disk boundary does not mark the vortex core radius, renders the center of the vortex slightly darker, and the halo considerably brighter than the earlier isentropic flow estimates. Furthermore, it offers an alternative explanation for the peculiar set of alternating dark and bright circular bands that appeared in the shadow imprints of an earlier blade tip vortex experiment. The improved methodology can now be used to advance the experimental description of comp.
Phaseless Spherical Near-Field Antenna Measurements With Reduced Samplings

The ever-growing complexity of radiating systems asks for always more challenging radiation pattern characterizations requiring time consuming field acquisitions and high-cost facilities. Consequently phaseless, or magnitude-only, measurements have recently regained of interest as they prevent the tedious and difficult task of phase acquisition. Consequently, it allows the use of cheaper or more versatile measurement setups like drone measurements or easier high-frequency measurements. However, the difficulty is shifted to the notoriously difficult resolution of the phase retrieval (PR) problem, the instability of which is commonly mitigated by the acquisition of a large number of phaseless field samples. A procedure enabling a reliable and accurate phaseless antenna measurement from a reduced number of spherical near-field (NF) samples based on the two scan technique is proposed. Its efficiency and stability, that relies on the systematic determination of a good starting point, is validated by representative simulations and experimental cases performed on various antenna structures.
Hagyományos és fuzzy nem felügyelt osztályozás összehasonlítása vegetációs index példáján

A tanulmányban egy tömör bevezető rész után először röviden tárgyaljuk a fuzzy-logikát, majd rátérünk annak egyik fontos területgazdálkodási alkalmazására, az osztályozásra. Ezután bővebben foglalkozunk az előző célra jól alkalmazható elméleti tagsági függvények kialakításával, az itt számításba vehető eljárásokkal. Végül pedig konkrét adatállományon – egy Landsat 7 műholdfelvételen – hajtjuk végre a címbeli osztályozást, és értékeljük az így kapott eredményeket.
Structure-Guided Identification of Critical Residues in the Vacuolar Cation/Proton Antiporter NHX1 from Arabidopsis thaliana

Cation/Proton Antiporters (CPA) acting in all biological membranes regulate the volume and pH of cells and of intracellular organelles. A key issue with these proteins is their structure–function relationships since they present intrinsic regulatory features that rely on structural determinants, including pH sensitivity and the stoichiometry of ion exchange. Crystal structures are only available for prokaryotic CPA, whereas the eukaryotic ones have been modeled using the former as templates. Here, we present an updated and improved structural model of the tonoplast-localized K+, Na+/H+ antiporter NHX1 of Arabidopsis as a representative of the vacuolar NHX family that is essential for the accumulation of K+ into plant vacuoles. Conserved residues that were judged as functionally important were mutated, and the resulting protein variants were tested for activity in the yeast Saccharomyces cerevisiae. The results indicate that residue N184 in the ND-motif characteristic of CPA1 could be replaced by the DD-motif of CPA2 family members with minimal consequences for their activity. Attempts to alter the electroneutrality of AtNHX1 by different combinations of amino acid replacements at N184, R353 and R390 residues resulted in inactive or partly active proteins with a differential ability to control the vacuolar pH of the yeast.
Dynamics and gravitational wave signatures of highly magnetized compact stars

Strong magnetic fields make neutron stars potential sources of detectable electromagnetic and gravitational-wave signals. Hence, inferring these magnetic fields is critical to understand the emissions of neutron stars. However, the interior magnetic field configuration remains ambiguous due to the lack of direct observational evidence. Here, for the first time, we show that the internal magnetic field strength along with the composition of a neutron star can be directly constrained by detecting the gravitational waves from the phase-transition-induced collapse of a magnetized neutron star. In particular, we study the effects of magnetic fields and phase-transition-induced collapses on the dynamics, oscillation modes, and gravitational-wave signatures of compact stars through dynamical simulations. Hence, this work has demonstrated that much information inside neutron stars could be extracted by measuring the oscillation modes from the gravitational waves emitted by the stars.
Benchmarking accounting curricula of selected universities in Africa with global standards

Abstract This study employed a concurrent embedded design to compare the accounting curricula of selected universities in Africa, America, Asia, and Europe, guided by International Education Standards (IES) 2, 3, 4, and 5. Fourteen universities from different continents were conveniently selected, and a descriptive content analysis was conducted to analyse the undergraduate accounting program contents. The findings reveal that the accounting education in selected African universities aligns with IES 2, 3, 4 and other universities, countering claims of inferiority. However, the universities’ curricula in Africa lack practical job-related competencies (IES 5) due to limited opportunities for experiential learning. Disparities exist in the emphasis on IES competencies, potentially leading to imbalanced development among graduates. African universities prioritise employment-oriented education, while those in America, Asia, and Europe emphasise professional progression. Recommendations include enhancing ethics and professional values, allocating more curriculum space for ethical behaviour promotion, and creating room for practical skills acquisition to facilitate students’ application of learned concepts and facilitate potential remediation.
The dendritic engram

Accumulating evidence from a wide range of studies, including behavioral, cellular, molecular and computational findings, support a key role of dendrites in the encoding and recall of new memories. Dendrites can integrate synaptic inputs in non-linear ways, provide the substrate for local protein synthesis and facilitate the orchestration of signaling pathways that regulate local synaptic plasticity. These capabilities allow them to act as a second layer of computation within the neuron and serve as the fundamental unit of plasticity. As such, dendrites are integral parts of the memory engram, namely the physical representation of memories in the brain and are increasingly studied during learning tasks. Here, we review experimental and computational studies that support a novel, dendritic view of the memory engram that is centered on non-linear dendritic branches as elementary memory units. We highlight the potential implications of dendritic engrams for the learning and memory field and discuss future research directions.