Miracle-dz/UniFAR-FTUs huggingface dataset:
Roll and Pitch Estimation From IMU Data Using an LPV H∞ Filter

Fusion schemes used for estimating roll and pitch angles from inertial measurement unit (IMU) data typically suffer from one or more of the following limitations: sensitivity to inaccurate initial estimate, computational burden, and sensitivity to inaccurate noise model. This article introduces a new fusion algorithm called the linear parameter varying (LPV) <inline-formula> <tex-math notation="LaTeX">$H_{\infty} $ </tex-math></inline-formula> filter, which aims to effectively address these limitations and strike a balance between them. The proposed LPV <inline-formula> <tex-math notation="LaTeX">$H_{\infty} $ </tex-math></inline-formula> filter is a weighted sum of a number of local linear <inline-formula> <tex-math notation="LaTeX">$H_{\infty} $ </tex-math></inline-formula> filters. Each local filter corresponds to a specific set of parameters, allowing for adaptability to different situations. By combining these local filters with their validity weights, the overall filter achieves robustness in the estimation process. The local filters and the overall filter are designed to be stable with fast dynamics, making the scheme less sensitive to inaccurate initial estimates. Moreover, the synthesis of the local filter gains is performed offline (beforehand), which reduces the computational burden during online implementation, making the proposed scheme more efficient and practical for real-time applications. To evaluate the effectiveness of the proposed scheme, a comparative study is conducted against two benchmark and most popular fusion schemes, namely, the highly accurate but computationally demanding fusion scheme of extended Kalman filter (EKF) as well as the adequately accurate yet computationally simple algorithm of explicit complementary filter (ECF). Through this comparative study, the performance of the LPV <inline-formula> <tex-math notation="LaTeX">$H_{\infty} $ </tex-math></inline-formula> filter, using synthetic and experimental data, is assessed in terms of estimation accuracy/robustness against varying noise characteristics, computational efficiency, and sensitivity to inaccurate initial estimate.
Antioxidant Phytocomplexes Extracted from Pomegranate (Punica granatum L.) Using Hydrodynamic Cavitation Show Potential Anticancer Activity In Vitro

Hydrodynamic cavitation (HC), as an effective, efficient, and scalable extraction technique for natural products, could enable the affordable production of valuable antioxidant extracts from plant resources. For the first time, whole pomegranate (Punica granatum L.) fruits, rich in bioactive phytochemicals endowed with anti-cancer properties, were extracted in water using HC. Aqueous fractions sequentially collected during the process (M1–M5) were lyophilized (L), filtered (A), or used as such, i.e., crude (C), and analyzed for their biochemical profile and in vitro antioxidant power. The fractions M3 and M4 from the L and C series showed the highest antiradical activity and phytochemical content. While the lyophilized form is preferable for application purposes, sample L-M3, which was produced faster and with lower energy consumption than M4, was used to assess the potential antiproliferative effect on human breast cancer line (AU565-PAR) and peripheral blood mononuclear (PBMC) cells from healthy donors. In a pilot study, cell growth, death, and redox state were assessed, showing that L-M3 significantly reduced tumor cell proliferation and intracellular oxygen reactive species. No effect on PBMCs was detected. Thus, the antioxidant phytocomplex extracted from pomegranate quickly (15 min), at room temperature (30 °C), and efficiently showed potential anticancer activity without harming healthy cells.
DeMi: A Solution to Detect and Mitigate DoS Attacks in SDN

Software-defined networking (SDN) is becoming more and more popular due to its key features of scalability and flexibility, simplifying network management and enabling innovations in the network architecture and protocols. In SDNs, the most crucial part is the controller, tasked with managing the entire network and configuring routes. Given its critical role, a failure or problem occurring at the controller may degrade and even collapse the entire SDN. A typical threat controllers are subject to is a Denial of Service (DoS) attack. To cope with the above-introduced threat, in this paper we propose a lightweight DoS attack detection and mitigation method (DeMi) as well as a heavy-load management module. The proposed solution for detection leverages a sample entropy approach coupled with an adaptive dynamic threshold considering an exponentially weighted moving average (EWMA); the mitigation approach is based on proof of work (PoW) combined with flow rule installations; and, the heavy-load management method implements a scheduling approach at the SDN controller. Results are staggering: for instance, when DeMi is deployed, in an attack scenario the number of exchanged control packets is roughly similar to the attack-free scenario—without DeMi, the number of control packets in the network is 2,7 times more than what experienced in an attack-free setting. As per the number of re-transmitted packets, again, DeMi is able to achieve a re-transmission rate similar to an attack-free scenario—without DeMi the of packets that need to be re-transmitted is roughly 3,7 times the number of packets re-transmission occurring in an attack-free scenario. Moreover, DeMi does not block legitimate traffic, contrary to other solutions in the literature. The novelty of the approach, the demonstrated complete end-to-end solution, and the quality of the achieved experimental results, other than being interesting on their own, do pave the way for further research in this field.
Development of Pedagogical Competence Scale for Lecturers in Universities Using Item Response Theory

To ascertain whether lecturers had the pedagogical competency skill needed in impacting students with necessary skills they need outside school, this study developed a scale to measure Lecturers’ Pedagogical Competence (LPCS) in universities using item response theory. The pedagogical competence of university lecturers was assessed using a set of items designed and evaluated the scale's construct validity. The initial scale consisted of a 70-item four options Likert-type. The multi-stage sampling procedure was employed. Proportional sampling was used to choose four universities in South Western Nigeria. At each of the institutions selected, 20% of the staff population was selected from all faculties using stratified random sampling with a cadre as a stratum. Thus, 906 lecturers from federal universities and 294 were selected from federal state universities, respectively. In all, 1,086 of the 1200 lecturers selected completed the study's instrument. The results showed that four of the six optimal factors underlying lecturers’ pedagogical competence were reliable. Eventually, 20 can measure LPC. Furthermore, the LPCS showed validity by optimally measuring the theoretical construct underlying the scale. Evaluation of learning outcome; managing student behavior during lecture; using ICT to Enhance learning; and lecturers’ student interaction remains the most important factors in LPCS.
Antiprotozoal Activity of Benzoylthiourea Derivatives against Trypanosoma cruzi: Insights into Mechanism of Action

For decades, only two nitroheterocyclic drugs have been used as therapeutic agents for Chagas disease. However, these drugs present limited effectiveness during the chronic phase, possess unfavorable pharmacokinetic properties, and induce severe adverse effects, resulting in low treatment adherence. A previous study reported that N-(cyclohexylcarbamothioyl) benzamide (BTU-1), N-(tert-butylcarbamothioyl) benzamide (BTU-2), and (4-bromo-N-(3-nitrophenyl) carbamothioyl benzamide (BTU-3) present selective antiprotozoal activity against all developmental forms of Trypanosoma cruzi Y strain. In this study, we investigated the mechanism of action of these compounds through microscopy and biochemical analyses. Transmission electron microscopy analysis showed nuclear disorganization, changes in the plasma membrane with the appearance of blebs and extracellular arrangements, intense vacuolization, mitochondrial swelling, and formation of myelin-like structures. Biochemical results showed changes in the mitochondrial membrane potential, reactive oxygen species content, lipid peroxidation, and plasma membrane fluidity. In addition, the formation of autophagic vacuoles was observed. These findings indicate that BTU-1, BTU-2, and BTU-3 induced profound morphological, ultrastructural, and biochemical alterations in epimastigote forms, triggering an autophagic-dependent cell death pathway.
Qualitative Analysis for Solving a Fractional Integro-Differential Equation of Hyperbolic Type with Numerical Treatment Using the Lerch Matrix Collocation Method

In this research, we present a qualitative analysis for studying a new modification of a nonlinear hyperbolic fractional integro-differential equation (NHFIDEq) in dual Banach space CEE, J. Under some suitable conditions, the existence and uniqueness of a solution are demonstrated with the use of fixed-point theorems. The verification of the offered method has been conducted by applying the Lerch matrix collocation (LMC) method as a numerical treatment. The major motivation for selecting the LMC approach is that it reduces the solution of the given NHFIDEq to a matrix representation form corresponding to a linear system of algebraic equations; additionally, to demonstrate that the proposed strategy has better precision than alternative numerical methods, we study the error and the convergence analysis. Finally, we introduce numerical examples illustrating comparisons between the exact solutions and numerical solutions for different values of the Lerch parameters λ and time t as well as how the absolute error in each example is calculated.
International Journal of Research in Advent Technology Analysis of Texture Extraction Based on Haralick Features for Segmentation Using Spectral Clustering

1 Chhatrapati shivaji institute of technology 2 Chhatrapati shivaji institute of technology 1 daga. ABSTARCT: The processing of whole image gives the inefficient and impractical results. Segmentation is the process which results in set of images that cover the entire image. The task of Clustering is an important aspect which is widely used in image segmentation and other areas. In this paper, we study spectral clustering algorithm which clusters data using eigenvectors of similarity matrix. This work proposes a two stage method. The extraction of the textual feature of original image is done which gives the first stage segmentation. And the second stage uses spectral clustering techniques to cluster the primitive regions.
Tactile Light Switch Using Chipless RFID

This letter introduces a tactile light switch (TLS) that is passive, battery free, and relocatable. The switch utilizes physical touch to control electrical devices, such as light bulbs and TVs. TLS is a chipless radio frequency identification (RFID) tag with an integrated tactile-sensitive element. It is achieved by incorporating three radio frequency spiral resonators, namely, a sensing resonator and two identification (ID) resonators. Each resonator is designed with a unique resonant frequency that is used to passively communicate the status of the TLS tag. The sensing resonator is touch sensitive, and the presence of its corresponding resonant frequency (<italic>f</italic><sub>RS</sub>) is controlled by touch. The ID resonators have fixed resonant frequencies (<italic>f</italic><sub>IDR1,2</sub>) that are used for tag identification. The TLS tag is designed and fabricated using a 1.6-mm-thick FR4 substrate. The measurement results show resonant frequencies at 1.02, 1.08, and 1.19 GHz, corresponding to <italic>f</italic><sub>RS</sub>, <italic>f</italic><sub>IDR1</sub>, and <italic>f</italic><sub>IDR2</sub>, respectively. A direct touch on the surface of the sensing resonator successfully cancels the resonant frequency at <italic>f</italic><sub>RS</sub>, whereas the resonances at <italic>f</italic><sub>IDR1,2</sub> are unaffected by touch and are always present for identification.
Verification of Data from Supersensitive Detector of Hydrosphere Pressure Variations

The paper describes experimental research and the results of these studies carried out in various bays of the Primorsky Territory of Russia using a supersensitive detector of hydrosphere pressure variations and a sound velocity profiler with pressure and temperature sensors. In all experiments, instruments, rigidly fixed to each other, were placed on the bottom at a depth of up to 10 m. Comparison of in-situ data from these instruments allowed us to experimentally calculate the coefficient of data conversion of the supersensitive detector of hydrosphere pressure variations when registering sea waves with periods ranging from several seconds to tens of minutes.
Germplasm Diversification in Citrus Orchards in a Mesothermal Climate in Brazil

The limited scion-rootstock combinations used in sweet orange orchards in Brazil reduce the commercial potential of citrus and lead to greater susceptibility to pests and diseases. Aiming to provide germplasm diversification, the research evaluated the Folha Murcha (FM) and Charmute de Brotas (CB) orange trees grafted onto ‘Rangpur’ lime (RL) and ‘Swingle’ citrumelo (SC) rootstocks. The study was conducted in the southern center of the state of São Paulo, in the subtropical region of southeastern Brazil. The grafted trees were planted in September 2016. The field experiment was conducted over two seasons. The combinations were evaluated based on the duration in days and degree-days of the phenological intervals, growth and yield performance, alternate bearing, fruit ripening, and quality. The trees of the two scion cultivars grafted onto RL had the shortest crop cycle, the earliest fruit ripening, and the largest canopy volume. SC produced fewer alternate bearings with greater production efficiency. The CB/SC combination produced fruits with a better color index, higher total soluble solids content, and a higher technological index. This assessment can be useful in planning orchards for dual-purpose markets, such as table fruit and the juice industry.
Simulation of the Hydraulic Performance of Parallel Pivot Weirs with Different Angles

Pivot weirs are one of the most important structures for regulating the water level in rivers and canals. These weirs are constructed with one or more gates in a row in the waterways. Changing the angle of each gate is done individually with an independent system. Based on available information, the hydraulic performance of this type of weirs (especially in several gates and different angles) in different operational conditions has not been investigated. In present study, pivot weirs with two gates are simulated using Ansys CFX software with the angles of 27.8 to 90 degree and the discharges between 40 to 130 L/s. Further, the importance of the open space between the two adjacent weirs with different angles (lack of retail wall) and its hydraulic behavior have been studied. The model was calibrated based on valid laboratory data and using the K-ϵ turbulence model. Therefore, the weirs with equal angles were studied in the first step. In this case, the effective discharge angle coefficient was studied and its maximum value compared to the vertical angle was obtained 1.076 for the angle of 52°. Furthermore, relationships for discharge coefficient versus upstream water depth were developed. In the next step, the effective length of the crest was found to be increases by 30% under unequal angles operation and the discharge coefficient raised by 1.3 to 2.4 times. Also, it was recognized that, in case of two weirs with unequal angles, about 26% to 69% of the flow passes through the distance between the two weirs. Therefore, the performance of unequal angles operation seems to be more effective in controlling the water level and discharge in different conditions and especially in flood events.
A concurrent tDCS-MEGA PRESS MRS study to investigate polarity dependent effects on neurometabolites

Up- or downregulation of neurotransmitter/receptor concentration have been seen when transcranial direct current stimulation (tDCS) and proton Magnetic Resonance Spectroscopy (MRS) were combined in concurrent experiments; however, results have been mixed and not reliable across studies. In this study, we investigated dose and polarity effects of tDCS in an MRS voxel centered over the anterior cingulate/prefrontal region using three dose levels of tDCS with stimulation electrode placed over left a supraorbital area and return electrode over right mastoid bone. Dose and polarity dependent modulation of GABA and Glx was observed in a single subject study.
Outcomes of the Ponseti Technique in Different Types of Clubfoot—A Single Center Retrospective Analysis

Background: Clubfoot is a congenital deformity that can affect one or both of a newborn’s lower extremities. The main objective of the study is to evaluate and compare the outcomes of the Ponseti method for the management of different types of clubfoot. Methods: A retrospective analysis of 151 children with 253 clubfeet (idiopathic untreated, idiopathic recurrent, and syndromic) with at least one year of follow-up was conducted in four months after ethical approval. Data were collected with a structured proforma after the consent of the parents. An independent sample t-test was applied to show the comparison between the groups, and a p-value of 0.05 was considered significant. Results: Out of 151 patients, 76% were male and 24% were female. Out of a total of 235 feet, 96 (63%) were idiopathic untreated, 40 (26.5%) were idiopathic recurrent, and 15 (9.5%) were syndromic clubfoot. The average number of casts was higher in syndromic clubfoot (9 casts per foot). There was no significant difference in the baseline Pirani score of the three groups (p-value > 0.05); but after one year of follow-up, there was a significant difference in the Pirani score of idiopathic and syndromic clubfoot (p-value ≤ 0.05) and between recurrent clubfoot and syndromic clubfoot (p-value = 0.01). Conclusions: The aetiology of syndromic clubfoot affects the outcomes of the Ponseti method and leads to relapse. In idiopathic (untreated and recurrent) clubfoot, the Ponseti method does not produce a significant difference in outcome. Poor brace compliance and a lack of tenotomy lead to orthotic (ankle foot orthosis AFO and foot orthosis FO) use in the day time and the recurrence of clubfoot deformity in these three types of clubfoot.
Optical Immunosensors for Bacteria Detection in Food Matrices

Optical immunosensors are one of the most popular categories of immunosensors with applications in many fields including diagnostics and environmental and food analysis. The latter field is of particular interest not only for scientists but also for regulatory authorities and the public since food is essential for life but can also be the source of many health problems. In this context, the current review aims to provide an overview of the different types of optical immunosensors focusing on their application for the determination of pathogenic bacteria in food samples. The optical immunosensors discussed include sensors based on evanescent wave transduction principles including surface plasmon resonance (SPR), fiber-optic-, interferometric-, grating-coupler-, and ring-resonator-based sensors, as well as reflectometric, photoluminescence, and immunosensors based on surface-enhanced Raman scattering (SERS). Thus, after a short description of each transduction technique, its implementation for the immunochemical determination of bacteria is discussed. Finally, a short commentary about the future trends in optical immunosensors for food safety applications is provided.
Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality

ABSTRACT This paper investigates the stochastic stability problem for a class of neutral-type Markov jump neural networks with additive time-varying delays. Firstly, to derive a tighter lower bound of the reciprocally convex quadratic terms, a new reciprocally convex combination inequality is established by using parameters transformation approach. Secondly, by fully considering the peculiarity of various time-varying delays and Markov jumping parameters, an eligible stochastic Lyapunov–Krasovskii functional is constructed. Then, by employing the new reciprocally convex combination inequality and other analytical techniques, some novel stability criteria are provided in the forms of linear matrix inequalities. Finally, four illustrated examples are given to verify the effectiveness and feasibility of the proposed methods.
Use of bacterial biocontrol agents for the control of Fusarium oxysporum f.sp. Lycopersici (Fusarium wilt) in tomatoes

Fusarium oxysporum f.sp Lycopersici (Fusarium wilt) is a serious plant pathogen that can cause yield losses >80% in tomatoes. The disease is controlled mainly by use of synthetic pesticides, which may be harmful to both humans and the environment. In this study, the potential use of antagonistic bacteria was reported for the control of fusarium wilt. First, we isolated and characterized fungi from tomato plants with wilt symptoms. Analysis of the ITS gene indicated fungi from the genus Fusarium, Alternaria, Plectosphaerella , Aspergillus , Gibellulopsis , Trichoderma , Papiliotrema , Rhodotorula , Mucor , Ustilago , Sporothrix and Cumuliphoma . 20 bacterial isolates were then screened from soils collected around the tomato plants for antagonistic activity against F.oxysporum using soft agar overlay method. Bacterial isolates showing inhibition zone diameters >3mm and consistent in reducing mycelial growth of the pathogen were further characterized and subsequently used for field experiments which were conducted during the short rain season in 2021 and 2022. The isolates grew at an optimum salt concentration of 5 - 10 % (w/v), pH range of 5 - 8 and a temperature of 30°C. Phylogenetically, they were affiliated to Bacillus subtilis , Paenibacillus polymyxa , Brevibacillus laterosporus , Bacillus velezensis , Bacillus amyloliquefaciens and Paenibacillus poriae whereas one of the isolates was identified as Myroides odoratimimus . Results from the field experiments showed that all selected strains significantly reduced average disease incidence (mean ± SE) for both years on day 14 (14.4% ± 3.49), day 28 (15.9% ± 3.44) and day 42 (15.2% ± 2.825) respectively. Therefore, these isolates are good candidates for the development of effective biological control programs against F. oxysporum f.sp Lycopersici affecting tomatoes.