Miracle-dz/UniFAR-FTUs huggingface dataset:
Théorie de Schreier supérieure

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Imaging of Magnetic Nanoparticles Using AC Susceptibility Data

Magnetic nanoparticle tomography (MNT) can estimate the position of magnetic nanoparticles (MNPs) via inverse problem analysis. In MNT studies, a system matrix is experimentally acquired for inverse problem analysis. However, the long acquisition time causes large temperature fluctuations in the excitation coil and electric circuit, resulting in noise in the system matrix. In this study, to remove this noise, the system matrix was calculated using ac susceptibility (ACS) data experimentally obtained via magnetic particle spectroscopy (MPS). The inverse problem was solved using the calculated system matrix. As a result, spatial fluctuation was suppressed. Moreover, the position of MNPs was accurately estimated. These results confirmed that the proposed method is useful for estimating the position of MNPs in MNT systems.
B7-H3 Associates with IMPDH2 and Regulates Cancer Cell Survival

Simple Summary Lung cancer is one of the most common cancers in the world, and despite improvements in treatment, it remains a significant health burden. B7-H3 is a member of the B7 immune checkpoint family of membrane proteins and shows increased expression in lung cancers; however, the functional consequences of this to cancer cell signalling remain unclear. Here, we show that B7-H3 forms a complex with the metabolic enzyme IMPDH2, and this protects cancer cells from oxidative stress and resulting apoptosis triggered by chemotherapy. The removal of B7-H3 from cancer cells in 2D results in sensitisation to chemotherapeutic stress and reduces cell viability in an IMPDH2-dependent manner. However, the loss of B7-H3 in 3D spheroid models results in enhanced IMPDH2-dependent spheroid growth, likely due to the weakening of cell–cell adhesion. These findings demonstrate that B7-H3 functionally contributes to metabolic signalling in lung cancer cells in the absence of immune cell interactions. Abstract Lung cancer is one of the most common cancers worldwide, and despite improvements in treatment regimens, patient prognosis remains poor. Lung adenocarcinomas develop from the lung epithelia and understanding how specific genetic and environmental factors lead to oncogenic transformation in these cells is of great importance to define the pathways that contribute to tumorigenesis. The recent rise in the use of immunotherapy to treat different cancers has prompted the exploration of immune modulators in tumour cells that may provide new targets to manipulate this process. Of these, the B7 family of cell surface receptors, which includes PD-1, is of particular interest due to its role in modulating immune cell responses within the tumour microenvironment. B7-H3 (CD276) is one family member that is upregulated in many cancer types and suggested to contribute to tumour–immune interactions. However, the function and ligand(s) for this receptor in normal lung epithelia and the mechanisms through which the overexpression of B7-H3 regulate cancer progression in the absence of immune cell interactions remain unclear. Here, we present evidence that B7-H3 is associated with one of the key rate-limiting metabolic enzymes IMPDH2, and the localisation of this complex is altered in human lung cancer cells that express high levels of B7-H3. Mechanistically, the IMPDH2:B7-H3 complex provides a protective role in cancer cells to escape oxidative stress triggered by chemotherapy, thus leading to cell survival. We further demonstrate that the loss of B7-H3 in cancer cells has no effect on growth or migration in 2D but promotes the expansion of 3D spheroids in an IMPDH2-dependent manner. These findings provide new insights into the B7-H3 function in the metabolic homeostasis of normal and transformed lung cancer cells, and whilst this molecule remains an interesting target for immunotherapy, these findings caution against the use of anti-B7-H3 therapies in certain clinical settings.
Fixed-time consensus tracking control for second-order multi-agent systems with bounded input uncertainties via NFFTSM

This paper is devoted to the fixed-time consensus tracking control for second-order multi-agent systems with bounded input uncertainties under a weighted directed topology. Firstly, a novel non-singular fixed-time fast terminal sliding mode (NFFTSM) surface with bounded convergence time in regardless of the initial states is designed, and the explicit expression of the settling time is provided. Fair and unprejudiced comparisons show that the proposed NFFTSM has faster convergence performance than most typical terminal sliding modes in the existed results. Subsequently, by employing the proposed NFFTSM, a non-singular fixed-time distributed control protocol for second-order multi-agent systems is designed, which only requires one-hop information of the neighbours without the global topology information and has the advantage of fast convergence performance both in the reaching phase and sliding phase. Rigorous proofs show that the fixed-time consensus tracking control for second-order multi-agent systems can be guaranteed by the proposed distributed control protocol. Finally, numerical simulations are performed to demonstrate the effectiveness of the proposed control scheme.
Time‐varying input delay compensation for nonlinear systems with additive disturbance: An output feedback approach

This paper addresses the output feedback tracking control of a class of multiple‐input and multiple‐output nonlinear systems subject to time‐varying input delay and additive bounded disturbances. Based on the backstepping design approach, an output feedback robust controller is proposed by integrating an extended state observer and a novel robust controller, which uses a desired trajectory‐based feedforward term to achieve an improved model compensation and a robust delay compensation feedback term based on the finite integral of the past control values to compensate for the time‐varying input delay. The extended state observer can simultaneously estimate the unmeasurable system states and the additive disturbances only with the output measurement and delayed control input. The proposed controller theoretically guarantees prescribed transient performance and steady‐state tracking accuracy in spite of the presence of time‐varying input delay and additive bounded disturbances based on Lyapunov stability analysis by using a Lyapunov‐Krasovskii functional. A specific study on a 2‐link robot manipulator is performed; based on the system model and the proposed design procedure, a suitable controller is developed, and comparative simulation results are obtained to demonstrate the effectiveness of the developed control scheme.
IPIML: A Deep-Scan Earthquake Detection and Location Workflow Integrating Pair-Input Deep Learning Model and Migration Location Method

Optimized deep learning (DL)-based workflows can improve the efficiency and accuracy of earthquake detection and location processes. This article introduces a six-step automated event detection, phase association, and earthquake location workflow, which integrates the state-of-the-art pair-input DL (PIDL) model and waveform migration location methods [integrated PIDL and MIL (IPIML)]. Applying IPIML on an 18-month dataset of Ghana Digital Seismic Network (GHSDN) recorded from 2012 to 2014, a catalog with 461 events is automatically obtained. Compared to other DL catalogs obtained using EQTransformer (EQT) and Siamese EQT (S-EQT), the seismic event clusters in the IPIML catalog focus more on tectonically active regions or known seismogenic source areas and show a consistent depth distribution. The compiled catalog is $6.3\times $ larger than the reported catalog obtained by applying EQT with the default settings, indicating the importance of optimization and hyperparameter tuning when applying DL models. As a result, a previously unknown seismogenic fault with a clear spatial trend has been identified using the new IPIML catalog, which provides more insights into the fault activities and seismic hazards in the region. The IPIML codes and datasets are available at the GitHub repository https://github.com/SigProSeismology/IPIML.git, contributing to the geoscience community.
Optimization of Biomass and Secondary Metabolite Production in Gynura procumbens (Lour.) Merr. Adventitious Roots Culture by Using the Method of Subculture and Fed-batch Cultivation in a Bioreactor

The valuable extract of bioactive compounds from Gynura procumbens has been widely manufactured into various health products. The demand for these compounds is continuously increasing, but production through conventional farming methods is insufficient due to limited agricultural land and environmental stresses. An alternative to producing plant biomass is in vitro cultivation methods. This method requires less space and enables biomass propagation in a controlled condition that can facilitate stable and efficient production of plant secondary metabolites. This study evaluated the effect of inoculum subculture periods and culture methods on G. procumbens biomass and secondary metabolite production in a bioreactor. The 3-L airlift balloon type-bubble bioreactors was modified in this study to adopt the treatment of 1st-5th subculture periods and fed- and batch-cultivation strategies. We found the G. procumbens adventitious root culture was optimally derived from the 1st subculture produced biomass of 148.02±1.45 g FW and 8.59±0.12 g DW, and TPC (14.48±1.08 mg GAE/g DW) and TFC (116.89±0.44 mg KE/g DW and 33.97±0.13 mg QE/g DW). Additionally, the fed method after 28 days of culture using double distilled water replenishment improved adventitious root biomass (213.75±35.00 g FW and 11.21±0.18 g DW), while nutrient replenishment improved TFC (52.14±0.44 mg KE/g DW and 14.54±0.13 mg QE/g DW). These results can be used to optimize the cultivation of G. procumbens adventitious roots in a large-scale bioreactor.
A blur-invariant local feature for motion blurred image matching

Image matching between a blurred (caused by camera motion, out of focus, etc.) image and a non-blurred image is a critical task for many image/video applications. However, most of the existing local feature schemes fail to achieve this work. This paper presents a blur-invariant descriptor and a novel local feature scheme including the descriptor and the interest point detector based on moment symmetry – the authors’ previous work. The descriptor is based on a new concept - center peak moment-like element (CPME) which is robust to blur and boundary effect. Then by constructing CPMEs, the descriptor is also distinctive and suitable for image matching. Experimental results show our scheme outperforms state of the art methods for blurred image matching
Some Properties On Isoclinism in n-Lie Algebras

The concept of n-Lie algebra were introduced by Filippov in 1987. One notes that not all properties of Lie algebras can be carried over to n-Lie algebras, as Williams showed in 2009. In the present article, among other results it is shown that the notions of isoclinism and isomorphism for two finite dimensional n-Lie algebras of the same dimension are equivalent. This was already done for ordinary Lie algebras by Moneyhun in 1994.
Establishing Harmony and Social Awareness in Religious Diversity

This article presents issues related to harmonization and social awareness in religious diversity in Indonesia. Maintaining religious harmony is the responsibility of the state and its people. Moreover, Indonesia is a country with people who have several religions and beliefs. Based on Pancasila, people try to maintain harmony with their social awareness in tolerance for practicing their respective religions. However, there are still ripples in this harmony. Several cases in the name of religion occurred. The state intervenes with regulations, religious leaders, community leaders, government and community members intervene to resolve them. Several research results found that religious harmony still leaves many problems. Models of religious relations that have not completely dissolved, prejudice still appears and remain within the framework of the dominance of the majority group. Respect for differences, tolerance, dialogue and communication, cooperation, and solidarity, overcoming prejudice and discrimination are ways to maintain harmony and social awareness in religious diversity.
Effectiveness of Conservative Treatments in Positional Plagiocephaly in Infants: A Systematic Review

Objective: The objective of this study is to analyze conservative treatments implemented to manage positional plagiocephaly in infants. Methods: This is a systematic review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, performed in the Medline (PubMed), Scopus, Web of Science, and Cochrane databases. Articles were selected according to the eligibility criteria, regarding the effectiveness of conservative treatments in positional plagiocephaly in infants, published in the last 10 years with a score ≥3 in the PEDro Scale. Results: A total of 318 articles were identified and 9 of them were finally selected. Conclusions: Physical therapy treatment is considered as the first line of intervention in plagiocephaly with non-synostotic asymmetries and manual therapy is the method that obtains the best results within this intervention. In cases of moderate or severe plagiocephaly, helmet therapy can be an effective second-line intervention; however, the best way to prevent this condition is through counseling of parents or caregivers, and early treatment is essential for optimal therapeutic outcomes. The review was registered in PROSPERO (CDR42022306466).
A printed hybrid warm white light source : from fabrication to physics-based model

With the emerging of printed flexible and stretchable devices, a warm white light source is desirable to minimize the ecological impacts and human health issues brought by light emitting diodes (LEDs). Drop casting, wet stamping and bar coating techniques in combination with screen printing process are implemented to fabricate electroluminescence (EL) films hybrid with downshifting organic dyes. Various solutions utilizing green to red organic dyes such as F8BT, fluorescein, DCJTB and DCM2 are formulated with solvents (chloroform and ethanol). With the optimization of process conditions and design of experiments on solution formulation, a hybrid white EL film with CIE of (0.313, 0.312) is obtained by drop casting and wet stamping processes. With the varying of number of coated layers, warm white hybrid films with the lowest correlated color temperature (CCT) of 2820 K and the highest luminance of 89.3 cd/m2 are achieved using the wet stamping and bar coating processes. However, the hybrid warm white EL film has a luminous efficacy of only 0.5 lm/W. To understand the root cause of this low luminous efficacy, two methodologies are approached, phosphor level and device level. The first approach is to study the frequency dependent color shift experimentally and theoretically. The color shift is found to be caused by the change of intensity per cycle of three emission lines, which are decomposed from EL emission spectra. A charge transport and relaxation model is proposed based on the detailed review of the luminescent centers and recombination mechanisms of these emission lines. The charge loss during trapping and recombination process and due to the charge relaxation is proposed to contribute to the low luminous efficacy of the hybrid warm white EL films at the ZnS phosphor level. The second approach utilizes a novel opto-impedance spectroscopy apparatus and methodology to assess the dielectric relaxation processes within the unexcited and excited AC powder electroluminescence (ACPEL) devices. With the
Sex-related differences in the physical fitness of adolescents aged 16 to 18 years

Background: Human motor skills are the sum of all motor abilities and manifestations of activity. Somatic and functional differences between women and men may affect sex-related differences in motor skills. The aim of this research was to analyse sex-related differences in the physical fitness of young people aged 16 to 18 years.Material and methods: The research comprised 194 students attending randomly selected high schools in the Rzeszw district, including 104 females and 90 males aged 16 to 18 years. The research tool was the Eurofit test battery. The Mann-Whitney U test was used in the analyses.Results: There were statistically significant differences in the following tests for all studied groups: Sit-and-Reach, Standing Broad Jump, Hand Grip, Sit-Ups, 105 metre Shuttle Run, Endurance Shuttle Run (p>0.05). In the group of 18-year-olds, there were statistically significant differences between sexes in the Flamingo Balance test (p=0.003), whereas between the groups of participants aged 17 (p<0.001) and 18 years (p<0.001), differences were noted in the Bent Arm Hang test.Conclusions: Females, regardless of age, are more flexible than males. In turn, males, regardless of age, are characterised by greater explosive power of the lower limbs, greater static strength, strength endurance of the trunk muscles, greater speed and agility, and cardio-respiratory endurance. In the case of 18-year-olds, females were characterised by better static balance. In 17- and 18-year-old males, functional strength of the shoulder girdle and arms was higher in males than females. The speed of movements of the upper limb was not a differentiating feature between the examined females and males.
Simple least squares estimator for treatment effects using propensity score residuals

Summary Propensity score matching is widely used to control covariates when analysing the effects of a nonrandomized binary treatment. However, it requires several arbitrary decisions, such as how many matched subjects to use and how to choose them. In this paper a simple least squares estimator is proposed, where the treatment, and possibly the response variable, is replaced by the propensity score residual. The proposed estimator controls covariates semiparametrically if the propensity score function is correctly specified. Furthermore, it is numerically stable and relatively easy to use, compared with alternatives such as matching, regression imputation, weighting, and doubly robust estimators. The proposed estimator also has a simple valid asymptotic variance estimator that works well in small samples. The least squares estimator is extended to multiple treatments and noncontinuously distributed responses. A simulation study demonstrates that it has lower mean squared error than its competitors.
Learning Fair Classifiers: A Regularization-Inspired Approach

We present a regularization-inspired approach for reducing bias in learned classifiers. In particular, we focus on binary classification tasks over individuals from two populations, where, as our criterion for fairness, we wish to achieve similar false positive rates in both populations, and similar false negative rates in both populations. As a proof of concept, we implement our approach and empirically evaluate its ability to achieve both fairness and accuracy, using the COMPAS scores data for prediction of recidivism.
DETECTION AND MORPHOLOGICAL IDENTIFICATION OF EIMERIA SPECIES IN MIGRATORY BIRDS AND CHICKENS IN SOME POULTRY FARMS IN KADUNA NORTH LGA OF KADUNA STATE

Poultry is an important source of protein and income for several households in Nigeria. However, the poultry industry is threatened by outbreaks of infectious diseases which may spread through the interaction of wild or migratory birds with poultry. The study aimed to detect and morphologically identify Eimeria species from faecal samples of chickens, pigeons and African fire finches collected from different poultry farms in Kaduna metropolis with a view to determining the role of migratory birds in the transmission of poultry coccidiosis. Two hundred and nine (209) faecal samples were freshly collected from 91 chickens, 61 pigeons, and 57 African fire finches and examined for the presence of Eimeria oocysts using Wisconsin faecal flotation technique; species identification was based on morphological characteristics of the sporulated oocyst. Eimeria oocyst were detected in all the sampling locations, seven species of Eimeria were identified namely E. tenella, E. brunetti, E. acervulina, E. necatrix, E. tropicalis, E. labbeana, and E. columbae. Eimeria brunetti was identified in both chickens and pigeons, while E. tenella, E. acervulina, and E. necatrix were identified in only chicken. On the other hand, E. tropicalis, E. labbeana, and E. columbae were found only in pigeons. The presence of Eimeria species in chickens, especially the acutely pathogenic E. tenella poses a significant challenge to poultry production. Furthermore, the infection among pigeons could serve as carriers of the protozoan from one farm to another. The results showed that African fire finches visiting poultry farms may not pose any threat in the transmission.
The algebraic representation for high order solution of Sasa-Satsuma equation

In this paper, we reestablish the elementary Darboux transformation for Sasa-Satsuma equation with the aid of loop group method. Furthermore, the generalized Darboux transformation is given with the limit technique. As direct applications, we give the single solitonic solutions for the focusing and defocusing case. The general high order solution formulas with the determinant form are obtained through generalized DT and the formal series method.
Moving toward Precision Medicine in Acute Coronary Syndromes: A Multimodal Assessment of Non-Culprit Lesions

Patients with acute coronary syndrome and multivessel disease experience several recurrent adverse events that lead to poor outcomes. Given the complexity of treating these patients, and the extremely high risk of long-term adverse events, the assessment of non-culprit lesions becomes crucial. Recently, two trials have shown a possible clinical benefit into treat non-culprit lesions using a fraction flow reserve (FFR)-guided approach, compared to culprit-lesion-only PCI. However, the most recent FLOW Evaluation to Guide Revascularization in Multivessel ST-elevation Myocardial Infarction (FLOWER-MI) trial did not show a benefit of the use of FFR-guided PCI compared to an angiography-guided approach. Otherwise, intracoronary imaging using optical coherence tomography (OCT), intravascular ultrasound (IVUS), or near-infrared spectroscopy (NIRS) could provide both quantitative and qualitative assessments of non-culprit lesions. Different studies have shown how the characterization of coronary lesions with intracoronary imaging could lead to clinical benefits in these peculiar group of patients. Moreover, non-invasive evaluations of NCLs have begun to take ground in this context, but more insights through adequately powered and designed studies are needed. The aim of this review is to outline the available techniques, both invasive and non-invasive, for the assessment of multivessel disease in patients with STEMI, and to provide a systematic guidance on the assessment and approach to these patients.