Miracle-dz/UniFAR-FTUs huggingface dataset:
Finite geometries: classical problems and recent developments

In recent years there has been an increasing interest in finite projective spaces, and important applications to practical topics such as coding theory, cryptography and design of experiments have made the field even more attractive. Pioneering work has been done by B. Segre and each of the four topics of this paper is related to his work; two classical problems and two recent developments will be discussed. First I will mention a purely combinatorial characterization of Hermitian curves in PG(2, q); here, from the beginning, the considered pointset is contained in PG(2, q). A second approach is where the object is described as an incidence structure satisfying certain properties; here the geometry is not a priori embedded in a projective space. This will be illustrated by a characterization of the classical inversive plane in the odd case. A recent beautiful result in Galois geometry is the discovery of an infinite class of hemisystems of the Hermitian variety in PG(3, q), leading to new interesting classes of incidence structures, graphs and codes; before this result, just one example for GF(9), due to Segre, was known. An exemplary example of research combining combinatorics, incidence geometry, Galois geometry and group theory is the determination of embeddings of generalized polygons in finite projective spaces. As an illustration I will discuss the embedding of the generalized quadrangle of order (4,2), that is, the Hermitian variety H(3, 4), in PG(3,K) with K any commutative field.
Numerical analysis of high-Q multiple Fano resonances

We design and numerically analyze high-quality (Q) multiple Fano resonances based on a hybrid metamaterial waveguide structure, which consists of T-shaped gold cut wires placed on a dielectric board waveguide. There are three sharp Fano peaks arising from the interference between plasmon dipole mode and different guided modes. The physical origin of obvious Fano behaviors is explained by the three-level plasmonic system and slab waveguide theory. The largest Q-factor reaches 547, and modulation depth of the peak C can get to nearly 100%, making it possible to perfectly realize the Fano switch function. Combining the cramped spectral lines with large near-field confinement, we demonstrate an optical refractive index sensor with a sensitivity of 4920 nm/RIU and a figure of merit of 188. This work provides a way to obtain multiple high Q-factor Fano resonances, which can widen channels for fabricating devices in biochemical sensing and optical switching.
A Content Poisoning Attack Detection and Prevention System in Vehicular Named Data Networking

Named data networking (NDN) is gaining momentum in vehicular ad hoc networks (VANETs) thanks to its robust network architecture. However, vehicular NDN (VNDN) faces numerous challenges, including security, privacy, routing, and caching. Specifically, the attackers can jeopardize vehicles’ cache memory with a Content Poisoning Attack (CPA). The CPA is the most difficult to identify because the attacker disseminates malicious content with a valid name. In addition, NDN employs request–response-based content dissemination, which is inefficient in supporting push-based content forwarding in VANET. Meanwhile, VNDN lacks a secure reputation management system. To this end, our contribution is three-fold. We initially propose a threshold-based content caching mechanism for CPA detection and prevention. This mechanism allows or rejects host vehicles to serve content based on their reputation. Secondly, we incorporate a blockchain system that ensures the privacy of every vehicle at roadside units (RSUs). Finally, we extend the scope of NDN from pull-based content retrieval to push-based content dissemination. The experimental evaluation results reveal that our proposed CPA detection mechanism achieves a 100% accuracy in identifying and preventing attackers. The attacker vehicles achieved a 0% cache hit ratio in our proposed mechanism. On the other hand, our blockchain results identified tempered blocks with 100% accuracy and prevented them from storing in the blockchain network. Thus, our proposed solution can identify and prevent CPA with 100% accuracy and effectively filters out tempered blocks. Our proposed research contribution enables the vehicles to store and serve trusted content in VNDN.
Passive Solid Chemosensor as Saliva Point of Need Analysis for Ammonium Determination by Using a Smartphone

Point-of-need analysis is of great interest nowadays. It refers to the timely analysis or detection of a specific parameter or substance at the location or moment it is needed, often with the aim of providing rapid and on-site results for informed decision-making or immediate interventions. This approach has gained interest in various fields but has not been extensively explored in bioanalytical chemistry. In order to contribute in this way, the analysis of ammonium in saliva as a biological fluid is proposed here. For that purpose, a passive solid sensor of 1,2-naphthoquinone-4-sulfonic acid sodium salt (NQS) embedded in polydimethylsiloxane (PDMS) doped with silica nanoparticles and an ionic liquid was proposed. The assay was developed by delivering ammonia from saliva in a confined atmosphere containing the sensor for 20 to 45 min. Measurements were carried out by absorbance from a benchtop diffuse reflectance spectrophotometer and a fiber optic miniaturized portable spectrometer coupled to a smartphone for point-of-need analysis. Another option for this kind of analysis was the use of the color intensity from digitalized images obtained by a smartphone by isolating the intensity in the color planes R (red), G (green), and B (blue). Good figures of merit were obtained for all three types of instruments, bearing in mind the ammonium content in saliva. Results for 30 samples of male and female volunteers (n = 30) demonstrated the usefulness of the assay, values of mg NH4+/mL saliva between 0.02 and 0.27 were found, and no matrix effect was present. Recoveries for spiked samples were around 100% for all methodologies. Selectivity was demonstrated from spectra obtained from benchtop instruments and the fiber optic mini spectrometer. Two applications were applied for directly determining the ammonium concentration in saliva.
Slow light in fiber Bragg gratings and its applications

Slow-light fiber Bragg gratings (FBGs) belong to a class of gratings designed to exhibit one or more narrow resonances in their reflection and transmission spectra, produced either by introducing a π phase shift near the middle of the grating, or by increasing the index modulation so that the grating behaves like a Fabry–Perot interferometer. These resonances can have very narrow linewidths (<50 fm), resulting in low group velocities and high Q factors. Slow-light gratings are finding a growing number of applications in many areas of photonics, including nonlinear optics, optical switching, optical delay lines, and sensing. This paper reviews the principle of these gratings, in particular the more recent slow-light gratings relying on a strong index modulation. It discusses in particular the requirements for achieving large group delays and high sensitivities in sensors, and the fabrication and annealing techniques used to meet these requirements (high index modulation, low loss, index-profile apodization, and optimized length). Several applications are presented, including record-breaking FBGs that exhibit a group delay of 42 ns and Q-factor of ~30 million over a 12.5 mm length, robust acoustic sensors with pressure resolution of ~50 µPa (√Hz)−1 in the few-kHz, and a strain sensor capable of resolving as little as 30 femtostrain (√Hz)−1.
Amniotic Membrane Transplant: About A Case in Mali

The amniotic membrane graft consists of suturing a fragment of membrane on the de-epithelialized area with a few separate stitches. We report a case of amniotic membrane transplant on keratitis following the local use of a traditional treatment in Mali. It was of a case of amniotic membrane transplant performed in Mali in the management of bilateral keratitis occurring following eyewash with a decoction made from cooked tamarind leaf in a 36-year-old man. We used a 3cm/3cm square AMTRIX® Amniotic Membrane from the Banque de Tissus de France. The membrane was grafted in Patch on the two eyes of our patient, this allowed us to have good healing and improved visual acuity. The use of the amniotic membrane in the management of keratitis gives good functional and anatomical results. She is now possible, However, its availability and cost remains a challenge for our developing countries.
Stationary wavelet transform aided design of parity space vectors for fault detection in LDTV systems

This study deals with the problem of fault detection (FD) for linear discrete time-varying (LDTV) systems by combining the parity space-based method with the stationary wavelet transform (SWT). For the purpose of achieving good FD performance and simultaneously reducing the online computational burden resulted by high parity space order, SWT on residual signal is the first step in this study. This allows the formulation of residual generation as the selection of wavelet basis for SWT and the design of time-varying parity space vectors in a framework of multiscale optimisation. A recursive algorithm is developed for the computation of optimal parity space vectors and, based on this, a bank of residual signals can be obtained. Moreover, a weighted multiscale residual evaluation strategy is presented to detect the occurrence of a fault. The major contribution of the study lies in the development of a recursive design of SWT aided parity space vectors, which delivers an improvement of FD performance for a lower parity space order and an easy online implementation. A numerical example is demonstrated to illustrate the effectiveness of the proposed method.
Observations of the Electron Jet Generated by Secondary Reconnection in the Terrestrial Magnetotail

We report in situ observations of an electron jet generated by secondary reconnection within the outflow region of primary reconnection in the terrestrial magnetotail by the Magnetospheric Multiscale (MMS) mission. The MMS spacecraft first passed through the primary X-line and then crossed the electron jet in the outflow of primary reconnection. There are a series of small-scale flux ropes in the secondary reconnection region. Decoupling from the magnetic field for both ions and electrons, an intense out-of-plane current, unambiguous Hall currents, and a Hall electromagnetic field appear in the electron jet. Strong electron dissipation ( ), a nonzero electric field in the electron frame ( ), and electron crescent-like shaped distributions are detected in the center of the electron jet, implying that MMS spacecraft were likely passing through the electron diffusion region. The significant electron dissipation indicates that the electrons can be accelerated in the electron jet and the electron jet may be another important electron acceleration channel along with the electron diffusion region.
Improving the anticorrosion property of outdoor fitness equipment via a novel Ti/Zr/Mo composite conversion coating

In recent years, a large number of outdoor fitness equipment have been newly built in China. In order to improve the anticorrosion property of outdoor fitness equipment, a new type of Ti/Zr/Mo conversion coating (TiZrMoCC) has been prepared on its surface. The surface morphology, element distribution, phase composition, and anticorrosion property were systematically measured, and the relationships between them were established. The results show that the optimal conversion temperature and time were 30 °C and 20 min, respectively. Under the optimal conversion parameters, the surface morphology of the TiZrMoCC is relatively flat and dense, and its phase compositions mainly consisted of TiO2, ZrO2, MoO3, Mo2O5 and Fe2O3, as well as a small quantity of Na3FeF6 and ZrF4. The TiZrMoCC could significantly reduce corrosion rate with the lower i corr , which is also confirmed by EIS results. The ACR of the TiZrMoCC decreased by nearly 63.5% compared to the Q235 matrix, and it has positive significance for protecting outdoor fitness equipment.
Using TOE Framework to Explore Determinants Affecting Blockchain Adoption at Vietnamese Logistics Enterprises

: Blockchain technology has the significant ability to revolutionizese economic sectors, and the logistics industry is no exception. In Vietnam, there is a growing interest in blockchain technology among logistics enterprises. Therefore, the main focus of this study is to better understand the influence of technology-organization-environment contexts (TOE model) on the behavior of applying blockchain technology in Vietnamese logistics enterprises. To gather data for the study, a survey was conducted with 508 individuals from logistics companies in Vietnam. The results of the study indicated that top-management support plays a crucial role in enhancing the adoption of blockchain technology among logistics enterprises in Vietnam. Several recommendations for businesses to increase the adoption of blockchain technology have been proposed in this study with the aim of improving work efficiency. The study has reinforced previous studies and developed a model for applying blockchain technology in logistics enterprises in Vietnam. The authors hope that their findings will contribute to logistics management and provide valuable information for future research in this field.
The Forecasting of a Leading Country’s Government Expenditure Using a Recurrent Neural Network with a Gated Recurrent Unit

Economic forecasting is crucial in determining a country’s economic growth or decline. Productivity and the labor force must be increased to achieve economic growth, which leads to the growth of gross domestic product (GDP) and income. Machine learning has been used to provide accurate economic forecasts, which are essential to sound economic policy. This study formulated a gated recurrent unit (GRU) neural network model to predict government expenditure, an essential component of gross domestic product. The GRU model was evaluated against autoregressive integrated moving average, support vector regression, exponential smoothing, extreme gradient boosting, convolutional neural network, and long short-term memory models using World Bank data regarding government expenditure from 1990 to 2020. The mean absolute error, root mean square error, and mean absolute percentage error were used as performance metrics. The GRU model demonstrates superior performance compared to all other models in terms of MAE, RMSE, and MAPE (with an average MAPE of 2.774%) when forecasting government spending using data from the world’s 15 largest economies from 1990 to 2020. The results indicate that the GRU can be used to provide accurate economic forecasts.
Joint reconstruction of the mass distributions of galaxyclusters from gravitational lensing and thermal gas

We focus on the reconstruction of mass distributions of the massive galaxy clusters, which are the largest gravitationally bound objects in the Universe. An approach to determine the masses of clusters is based on the effects of gravitational lensing. Estimating errors induced by this method is crucial but computationally expensive. We present a novel approach to estimate analytically the errors made by reconstructions which use weak-lensing information. As galaxy clusters host a large amount of intracluster medium they provide a multitude of observables. We present a new method to infer the lensing potential from two of these: signals of the thermal Sunyaev-Zel’dovich effect and the emission of X-rays due to thermal bremsstrahlung. By assuming that the gas is in hydrostatic equilibrium and follows a polytropic equation of state, we link these observables to the gravitational potential, which is then projected along the line-of-sight to infer the lensing potential. For this we deproject the observables by means of the Richardson-Lucy algorithm. We test our method on clusters with analytic profiles, a numerical simulation and on the galaxy cluster RXJ1347. Our efforts are the first steps towards a non-parametric algorithm for a joint cluster reconstruction. By taking all possible cluster observables into account, mass distributions of clusters will be determined more accurately.
Joint State of Charge (SOC) and State of Health (SOH) Estimation for Lithium-Ion Batteries Packs of Electric Vehicles Based on NSSR-LSTM Neural Network

Lithium-ion batteries (LIBs) are widely used in electrical vehicles (EVs), but safety issues with LIBs still occur frequently. State of charge (SOC) and state of health (SOH) are two crucial parameters for describing the state of LIBs. However, due to inconsistencies that may occur among hundreds to thousands of battery cells connected in series and parallel in the battery pack, these parameters can be difficult to estimate accurately. To address this problem, this paper proposes a joint SOC and SOH estimation method based on the nonlinear state space reconstruction (NSSR) and long short-term memory (LSTM) neural network. An experiment testbed was set up to measure the SOC and SOH of battery packs under different criteria and configurations, and thousands of charging/discharging cycles were recorded. The joint estimation algorithms were validated using testbed data, and the errors for SOC and SOH estimation were found to be within 2.5% and 1.3%, respectively, which is smaller than the errors obtained using traditional Ah-Integral and LSTM-only algorithms.
Sobrerol: New Perspectives to Manage Patients with Frequent Respiratory Infections

Respiratory tract infections (RTIs) are usually characterized by mucus hypersecretion. This condition may worsen and prolong symptoms and signs. For this reason, reducing mucus production and improving mucus removal represent relevant aspects of managing patients with RTIs. In this regard, mucoactive drugs may be effective. Mucoactive agents constitute a large class of compounds characterized by different mechanisms of action. Sobrerol is a monoterpene able to fluidify mucus, increase mucociliary clearance, and exert antioxidant activity. Sobrerol is available in various formulations (granules, syrup, nebulized, and suppository). Sobrerol has been on the market for over 50 years. Therefore, the present article revised the evidence concerning this compound and proposed new possible strategies. The literature analysis showed that several studies investigated the efficacy and safety of sobrerol in acute and chronic RTIs characterized by mucus hyperproduction. Seven pediatric studies have been conducted with favorable outcomes. However, the regulatory agencies recently reduced the treatment duration to three days. Therefore, a future study will test the hypothesis that a combination of oral and topical sobrerol could benefit children and adults with frequent respiratory tract infections. The rationale of this new approach is based on the concept that mucus accumulation could be a risk factor for increased susceptibility to infections.
Genome assembly of Polygala tenuifolia provides insights into its karyotype evolution and triterpenoid saponin biosynthesis

Abstract Polygala tenuifolia is a perennial medicinal plant that has been widely used in traditional Chinese medicine for treating mental diseases. However, the lack of genomic resources limits the insight into its evolutionary and biological characterization. In the present work, we reported the P. tenuifolia genome, the first genome assembly of the Polygalaceae family. We sequenced and assembled this genome by a combination of Illumnina, PacBio HiFi, and Hi-C mapping. The assembly includes 19 pseudochromosomes covering ~92.68% of the assembled genome (~769.62 Mb). There are 36 463 protein-coding genes annotated in this genome. Detailed comparative genome analysis revealed that P. tenuifolia experienced two rounds of whole genome duplication that occurred ~39–44 and ~18–20 million years ago, respectively. Accordingly, we systematically reconstructed ancestral chromosomes of P. tenuifolia and inferred its chromosome evolution trajectories from the common ancestor of core eudicots to the present species. Based on the transcriptomics data, enzyme genes and transcription factors involved in the synthesis of triterpenoid saponin in P. tenuifolia were identified. Further analysis demonstrated that whole-genome duplications and tandem duplications play critical roles in the expansion of P450 and UGT gene families, which contributed to the synthesis of triterpenoid saponins. The genome and transcriptome data will not only provide valuable resources for comparative and functional genomic researches on Polygalaceae, but also shed light on the synthesis of triterpenoid saponin.
Attitudes towards mathematics: Development and validation of an online, semantically differentiated, visual analogue scale

3 Table of contents . 4 Acknowledgements . 6 Chapter 1: Introduction . 7 Rationale . 9 Context . 11 Self as researcher . 13 Chapter 2: Literature review . 16 Attitudes towards mathematics . 16 Mathematics education in Australia . 20 Historical foundations of attitude measurement . 24 Student attitudes towards mathematics . 27 Conceptual framework . 29 The evolution of the semantic differential . 33 Scale development . 37 Mathematics attitude scales . 39 Cognitive Interviews . 45 Chapter 3: Method . 47 Research question and approach . 47 Research design and context . 49 The survey . 51 Analysis . 54 Ethical considerations . 56 Credibility, validity and reliability . 57 Chapter 4: Results . 60 Initial considerations . 60 Data screening . 61 Factor analysis . 67
Structural Ambiguity and Case Assignment in Hungarian Clausal and Phrasal Comparatives

Hungarian: both clausal and phrasal comparatives (2) a. Magasabb vagyok, mint (amilyen magas) Mari (volt). taller am than how tall Mary was.3SG ‘I am taller than Mary (was). b. Magasabb vagyok Marinál. taller am Mary.ADE ‘I am taller than Mary. ’ comparative complement: CP or PP CP often reduced to C head + one XP lexical cases are instances of PP (see e.g. É. Kiss 2002; Asbury 2005, 2008a, 2008b) ambiguity: remnant DP or DP in PP may be contrasted with multiple DPs in the matrix clause also in Germanic languages (Bacskai-Atkari 2014b) ● Type I constructions: (3) I love you more than my brother. SUBJECT READING: ‘I love you more than my brother loves you. ’ OBJECT READING: ‘I love you more than I love my brother. ’ ● Type II constructions: (4) I saw a taller woman than my mother. LEXICAL READING: ‘I saw a taller woman than my mother saw. ’ PREDICATIVE READING: ‘I saw a taller woman than my mother is. ’
Blinkverse: A Database of Fast Radio Bursts

The volume of research on fast radio bursts (FRBs) observation have been seeing a dramatic growth. To facilitate the systematic analysis of the FRB population, we established a database platform, Blinkverse, as a central inventory of FRBs from various observatories and with published properties, particularly dynamic spectra from FAST, CHIME, GBT, Arecibo, etc. Blinkverse thus not only forms a superset of FRBCAT, TNS, and CHIME/FRB, but also provides convenient access to thousands of FRB dynamic spectra from FAST, some of which were not available before. Blinkverse is regularly maintained and will be updated by external users in the future. Data entries of FRBs can be retrieved through parameter searches through FRB location, fluence, etc., and their logical combinations. Interactive visualization was built into the platform. We analyzed the energy distribution, period analysis, and classification of FRBs based on data downloaded from Blinkverse. The energy distributions of repeaters and non-repeaters are found to be distinct from one another.