Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on the Stability of Low-Carbon Magnesium Cementitious Materials in Sulfate Erosion Environments

The current investigation focuses on the stability of the magnesium oxide-based cementitious system under the action of sulfate attack and the dry-wet cycle. The phase change in the magnesium oxide-based cementitious system was quantitatively analyzed by X-ray diffraction, combined with thermogravimetry/derivative thermogravimetry and scanning electron microscope, to explore its erosion behavior under an erosion environment. The results revealed that, in the fully reactive magnesium oxide-based cementitious system under the environment of high concentration sulfate erosion, there was only magnesium silicate hydrate gel formation and no other phase; however, the reaction process of the incomplete magnesium oxide-based cementitious system was delayed, but not inhibited, by the environment of high-concentration sulfate, and it tended to turn completely into a magnesium silicate hydrate gel. The magnesium silicate hydrate sample outperformed the cement sample, in terms of stability in a high-concentration sulfate erosion environment, but it tended to degrade considerably more rapidly, and to a greater extent, than Portland cement, in both dry and wet sulfate cycle environments.
Effectiveness of Psychomotor Therapy among Children with Graphomotor Impairment with and without DCD-Diagnosis

In Switzerland, psychomotor therapy (PMT) is a standard treatment for children with graphomotor impairments, but scientific evidence of its effectiveness is rare. To investigate the effectiveness of PMT, we conducted a randomised field trial (RFT). The sample consisted of 121 first and second graders with graphomotor impairments, some of whom met the criteria of developmental coordination disorder, while the remaining suffered from developmental dysgraphia. The treatments lasted over 5 months. Handwriting fluency and consistency were measured five times on a digitising tablet. All participating children completed a self-concept interview, and a standardised fine motor performance test twice. Psychomotor therapy significantly improved the fine motor skills of the therapy group compared to those of the waiting group. However, there was no evidence that the treated children improved more than the waiting children in terms of their graphomotor skills such as frequency, automaticity, and consistency of forming letters. Finally, the children of the therapy group showed partial improvements in their handwriting self-concept, while those of the waiting group children remained stable. This short-term RFT demonstrated the effectiveness of PMT in terms of fine motor skills and some aspects of the handwriting self-concept but showed no effects on handwriting fluency and consistency.
Momentum flux, flow symmetry, and the nonlinear barotropic governor

Abstract A number of idealized life-cycle simulations of baroclinically unstable waves are systematically analyzed to study the effects of eddy momentum flux and of zonal mean horizontal shear on the finite-amplitude evolution of the waves. Twenty-level quasigeostrophic and primitive equation models with channel geometry are numerically integrated with the most unstable linear normal mode as an initial condition. The flows are inviscid except for weak second-order horizontal diffusion. It is found that the finite-amplitude baroclinic waves are sensitively influenced by the vertically integrated eddy momentum flux of the normal mode via the large barotropic shear it spins up in the mean flow. This “barotropic governor” mechanism prevents the eddy from attaining all the available potential energy stored in the domain, leading to irreversible barotropic decay. Only in the purely baroclinic, f-plane, quasigeostrophic problem, where the vertically integrated eddy momentum flux identically vanishes due to symme.
Diseño de campo para reducir la erosión hídrica en suelos de la agroindustria azucarera guatemalteca

La presente publicación describe los criterios de diseño considerados para la construcción de obras de conservación de suelos y las experiencias obtenidas, desde un punto de vista técnico-científico que busca una mejor gestión de los suelos de la zona. Estudio que fue realizado gracias al apoyo del Ingenio La Unión, el Instituto Privado de Investigación sobre Cambio Climático -ICC- y el Centro Guatemalteco de Investigación y Capacitación de la Caña de Azúcar (CENGICAÑA). Los criterios básicos para el diseño de estructuras de conservación de suelos en estas zonas consideran el registro histórico de las precipitaciones del lugar, topografía y condiciones de los suelos. Los resultados obtenidos en áreas con diseño de conservación de suelos, muestran que las tasas de erosión van de 0.0 T/ha a 7.8 T/ha en 3 meses evaluados, por lo que no se percibe una erosión hídrica neta mayor a la natural o leve (< 10 T/ha/año, FAO 1981); obteniendo volúmenes de 2.9 m3 a 56.0 m3 que corresponden al 2.15 % y 12.0 % de la capacidad total de las acequias evaluadas, mostrando de esta manera que las acequias de ladera son estructuras de conservación de suelos, que pueden considerarse como alternativas en el manejo y conservación de los suelos de las partes altas y medias de la zona cañera guatemalteca.
Autoencoders as a Characterization Technique and Aid in the Classification of Volcanic Earthquakes

Volcanic seismicity is one of the most relevant parameters for the evaluation of volcanic activity and consequently the prognosis of eruptions. Earthquakes of volcanic origin are of different classes, directly related to the physical process that generates them. The distribution of the data between classes of seismic-volcanic signals generally presents an unbalanced profile (imbalanced datasets), which can hinder the performance of the classification in machine learning models. Therefore, this research presents a characterization technique (feature extract) that, in addition to reducing the dimension of each seismic record, allows a representation of the signals with the most relevant and significant information. This work proposes the use of a dual autoencoder feature, which is compared with conventional characterization techniques, such as linear prediction coefficients and principal component analysis. The training of the model was performed with a dataset containing volcano-tectonic (VT) earthquakes, long period events, and Tornillo-type events of the Galeras volcano, one of the most active volcanoes in Colombia. The classification results reach 99% of the classification of the mentioned classes.
Amonafide Induces HUVEC Senescence by Inhibiting Autophagy.

BACKGROUND Amonafide (Amo), due to hematotoxicity and digestive tract symptoms, the clinical application of which is limited. Several studies have reported that chemotherapy side effects are closely related to cellular senescence accumulation. Our study aims to examine whether amonafide causes senescence in human umbilical vein endothelial cell (HUVEC) lines and investigate its mechanisms associated with senescence. METHODS The experiments of expression of genes and proteins associated with aging were carried out with HUVEC cell lines. The experiments were divided into a control group and an amonafide group with different days. The HUVEC senescence cells were detected by SA-β-Gal staining, Western blotting detected the protein levels of p16, p53, AMPK (Adenosine 5'-Monophosphate (AMP)-Activated Protein Kinase), mTOR (mechanistic Target of Rapamycin), p62, and LC3 (microtubule-associated protein1 light chain 3, MAP1LC3). Fluorescence detected the expression of mRFP (monomeric Red Fluorescent Protein)-GFP (Green Fluorescent Protein)-LC3 and LC3 puncta of HUVEC cells. RT-qPCR (Real-Time Quantitative Polymerase Chain Reaction) tested the expressions of p53, p21, IL (Interleukin)-1β, IL-6 (Interleukin-6), IL-8 (Interleukin-8), and MCP-1 (Monocyte Chemoattractant Protein-1). CCK-8 (Cell Counting Kit-8) assessed the HUVEC cell viability. RESULTS Here, we reported that amonafide resulted in an increased proportion of SA-β-Gal positive cells, high expression of aging-related proteins (p53 p < 0.05; p16 p < 0.05), and aging-related genes (p53 p < 0.05; p21 p < 0.05; IL-1β p < 0.05; IL-6 p < 0.05; IL-8 p < 0.05; MCP-1 p < 0.05) on the 3rd day. Mechanistically, amonafide could cause an increase in the levels of the mTOR (p < 0.05) on days 1 and 3, and p62 protein (p < 0.05) on day 1, and a decline in LC3II (microtubule-associated protein1 light chain 3Ⅱ)/LC3I levels (p < 0.05) on day 3, which is associated with the regulation of senescence. Additionally, the viability of HUVECs (human umbilical vein endothelial cells) was significantly inhibited by amonafide starting with a concentration of 0.8 μm (p < 0.05). CONCLUSIONS We first discovered that amonafide caused normal cellular senescence in our experiments. Amonafide-induced cellular aging by inhibiting autophagy and activating the mTOR pathway. The findings may offer new strategies for managing adverse reactions to amonafide.
The Effect of Self-Efficacy and Locus of Control on MSME Entrepreneurs’ Performance

This study aims to determine the effect of self-efficacy and locus of control on the performance of MSME entrepreneurs. This research was conducted on entrepreneurs who have been in business for more than 5 years with a sample of 100 respondents. The analysis technique used in this research is the multiple linear regression analysis technique. The results showed that the variables of self-efficacy, locus of control, and entrepreneur performance were high, judging from the range of the scales, the scores were very high. The results of the regression analysis of self-efficacy and locus of control each have a partial and simultaneous effect on the performance of entrepreneurs, the self-efficacy variable is the variable that has the most influence on the performance of entrepreneurs in SMEs in the Gandusari district.
A Smart Knowledge Discover System for Teaching Quality Evaluation via Genetic Algorithm-Based BP Neural Network

The intelligent and automatic evaluation for teaching quality has been a more and more general demand in the digital society. The most intuitive solution is to make an assessment based on examination results, which cannot comprehensively reflect the course situation. To deal with such a problem, this paper designs a smart knowledge discovery system for teaching quality evaluation using a genetic algorithm-based BP neural network. Three aspects of factors are selected as the features: teaching conditions, teaching process, and teaching effect. The BP neural network is formulated to learn a nonlinear mapping from initial features to evaluation results. The learned parameters are then re-optimized by introducing the genetic algorithm. The proposed evaluation framework is also assessed concerning running performance on a real-world course-teaching dataset. The obtained results reflect that the proposal can realize the intelligent evaluation of the teaching effect and the evaluation effect is close to artificial experience-based evaluation results.
Enhancement of peak intensity in a filament core with spatiotemporally focused femtosecond laser pulses

We demonstrate that the peak intensity in the filament core, which is inherently limited by the intensity clamping effect during femtosecond laser filamentation, can be significantly enhanced using spatiotemporally focused femtosecond laser pulses. In addition, the filament length obtained by spatiotemporally focused femtosecond laser pulses is {approx}25 times shorter than that obtained by a conventional focusing scheme, resulting in improved high spatial resolution.
Pengaruh Tata Kelola Perusahaan terhadap Kinerja Keuangan pada Badan Usaha Milik Negara yang Terdaftar di Bursa Efek Indonesia Periode 2015-2021

The performance of a company is very dependent on good or bad corporate governance. Good corporate governance will be able to influence the company's financial performance, especially in state-owned enterprises (BUMN). This study examines the effect of institutional ownership, board of directors, independent commissioners and audit committees on the financial performance of state-owned companies listed on the Indonesia Stock Exchange (IDX) in the 2015-2021 period. This study used a total of 20 companies as research samples with multiple linear regression analysis using SPSS. The results of the study show that institutional ownership, board of directors, independent commissioners and audit committees partially have an influence on Tobins-Q.
A 2-D Hybrid Hall Thruster Simulation That Resolves the E×B Electron Drift Direction

A 2-D axial-azimuthal model of an annular Hall thruster discharge is developed. We use a hybrid fluid-particle- in-cell (PIC) treatment to model a Xe-propellant Hall thruster. Using a PIC approach, the positive Xe+ ions are modeled as collisionless, nonmagnetized, discrete super-particles, whereas the electrons are treated as a magnetized 2-D fluid. The model includes a continuously replenished Xe neutral background, with an imposed radial magnetic field and an applied axial electric potential. Motivated by experimental evidence of anomalously high electron mobility across the magnetic field that has been attributed to quasi-coherent fluctuations in the plasma properties, we use the numerical model to resolve azimuthal electron dynamics and study the impact of fluctuations on electron transport. Representative low-voltage (100 V) operating condi- tion simulations predict localized plasma properties similar to those observed in experiments. The simulations predict coherent azimuthally propagating disturbances which appear to contribute to enhanced electron transport beyond that due to classical scattering.
Analytical Model of Dual Cavity Nanowire Tunnel FET-based Dielectric Modulated Biosensor

In a general-purpose FET-based dielectric modulated (DM) biosensor, the biomolecule’s presence can be identified by investigating the change in channel conduction. This work demonstrates an analytical model of a Dual Cavity Nanowire (DCN) Tunnel FET-based DM biosensor for label-free biosensing. We opted for a gate-all-around architecture that provides superior gate controllability over the channel charge compared to the planar devices. Using the Poisson equation and Kane’s Model, we framed the analytical model of the electric field, potential and drain current, which is also validated by TCAD results. The permittivity change of the cavity reflects the drain current variation, which could be employed as a sensing parameter to identify a wide range of biomolecules. Further, biomolecules may carry charges (positive/negative), which can be identified using trap charge analysis of the cavity region. Thus, the proposed work provides a detailed insight into sensing the existence of charged and neutral biomolecules within the cavity.
Off-grid fast relevance vector machine algorithm for direction of arrival estimation

Direction of arrival (DOA) estimation is a basic and important problem in signal processing and has been widely applied. Its research has been advanced by the recently developed methods based on Bayesian compressive sensing (BCS). Among these methods, the ones combined with an off-grid (OG) model have been proved to be more accurate than the on-grid ones. However, the conventional BCS-based methods have a disadvantage of the slow speed. In this study, a high-efficiency iterative algorithm, based on the fast relevance vector machine and the OG model, is developed. This new approach applies to both the single- and multiple-snapshot cases. Numerical simulations show that the proposed method estimates DOAs more accurately than the l 1 -penalisation method and computes more efficiently than the conventional BCS-based methods. Finally, comparisons with state-of-the-art methods and Cramer-Rao bound are also reported.
Weighted Blanket Therapy for Periodic Limb Movement Disorder: A Case Report Highlighting Improved Sleep Quality and Reduced Symptoms

This case report describes a 20-year-old female patient with periodic limb movement disorder (PLMD), who experienced trouble sleeping and daytime fatigue. Polysomnography revealed frequent non-arousing periodic limb movements and a high PLMD index. The patient was advised on non-pharmacological interventions, including the use of weighted blankets, sleep hygiene education, and lifestyle modifications. At the six-week follow-up, the patient reported significant improvement in symptoms. The case report highlights the potential effectiveness of non-pharmacological interventions in managing PLMD and emphasizes the need for a multidisciplinary approach to improve patient outcomes and quality of life. Further research is required to determine the long-term efficacy and safety of these interventions. The psychological impact of PLMD on the patient's social life and academic performance is also discussed. The management of sleep disorders should involve a multidisciplinary approach to improve patient outcomes and quality of life.
Phase Transition Material Modulated Hyper FET for Digital Applications

In this paper, a Phase Transition Material Modulated Hyper-FET has been proposed for Digital Applications. It has been examined by implementing a Spice model of Phase Transition Material with the source of 32nm MOSFET and later a comparison is drawn with 32nm MOSFET. In our proposed device, ISO-IOFF transfer characteristics and Output Characteristics of 32nm HyperFET reveal approximately 104 times higher ON current. The metallic resistivity, insulating resistivity, insulating to metallic current density, metallic to insulating current density, and geometry of Phase Transition Material are varied to study the effect on transfer characteristics of Hyper-FET in order to optimize the parameters for proper operation of the device.
On Haar Measure in Locally Compact T 2 Spaces

Let G be a group of homeomorphisms of a locally compact Hausdorff space X onto itself. If for each disjoint pair of compact sets there is a non-empty open set, no image of which meets both of the compact sets simultaneously, then there is a non-trivial regular Borel measure on X which is invariant under the action of G (a Haar measure). In particular if the group is equicontinuous, there exists such a (Haar) measure; in this case, Haar measure is unique if and only if the group is weakly transitive.
Transcriptome Profiling Analysis of Breast Cancer Cell MCF-7 Treated by Sesamol

Background Breast cancer is a highly malignant tumor that affects a large number of women worldwide. Sesamol, a natural compound, has been shown to exhibit inhibitory effects on various tumors, including breast cancer. However, the underlying mechanism of its action has not been fully explored. In this study, we aimed to investigate the effect of sesamol on the transcriptome of MCF-7 breast cancer cells, in order to better understand its potential as an anti-cancer agent. Methods The transcriptome profiles of MCF-7 breast cancer cells treated with sesamol were analyzed using Illumina deep-sequencing. The differentially expressed genes (DEGs) between the control and sesamol-treated groups were identified, and GO and KEGG pathway analyses of these DEGs were conducted using ClueGO. Protein–protein interaction (PPI) network of DEGs was mapped on STRING database and visualized by Cytoscape software. Hub genes in the network were screened by Cytohubba plugin of Cytoscape. Prognostic values of hub genes were analyses by the online Kaplan–Meier plotter and validated by qRT-PCR in MCF-7 cells. Results The results of the study showed that sesamol treatment had a significant effect on the transcriptome of MCF-7 cells, with a total of 351 DEGs identified. Functional enrichment analyses of DEGs revealed their involvement in extracellular matrix (ECM) remodeling, fatty acid metabolism and monocyte chemotaxis. The protein–protein interaction (PPI) network analysis of DEGs resulted in the identification of 10 hub genes, namely IGF2, MMP1, MSLN, CXCL10, WT1, ITGAL, PLD1, MME, TWIST1, and FOXA2. Survival analysis showed that MMP1 and ITGAL were significantly associated with overall survival (OS) and recovery-free survival (RFS) in breast cancer patients. Conclusion Sesamol may play important roles in extracellular matrix (ECM) remodeling, fatty acid metabolism and cell cycle of MCF-7.
Data Assimilation for Turbulent Flows

In this study, the ensemble Kalman filter and the ensemble transform Kalman filter, sequential advanced data assimilation methods, were employed to estimate angle of attack, inflow Mach number, and turbulent viscosity of turbulent flows. The transonic flows around the NACA0012 and the RAE 2822 airfoils were considered here. The surface pressures of experiments were employed for data assimilation. The computations with the estimated angle of attack, inflow Mach number, and turbulent viscosity by data assimilation improved discrepancies between ordinary computations with turbulence models and experiments. These results suggested that data assimilation was effective to estimate the proper angle of attack, inflow Mach number, and turbulent viscosity for computations.
Epidemiology of Zoonotic Coxiella burnetii in The Republic of Guinea

Background: Q fever is a zoonotic infectious disease characterized by fever, malaise, chills, significant weakness, and muscle pain. In some cases, the disease can become chronic and affect the inner membranes of the heart, such as the valves, leading to endocarditis and a high risk of death. Coxiella burnetii (C. burnetii) is the primary causative agent of Q fever in humans. This study aims to monitor the presence of C. burnetii in ticks collected from small mammals and cattle in the Republic of Guinea (RG). Methods: Rodents were trapped in the Kindia region of RG during 2019–2020, and ticks were collected from cattle in six regions of RG. Total DNA was extracted using a commercial kit (RIBO-prep, InterLabService, Russia) following the manufacturer’s instructions. Real-time PCR amplification was conducted using the kit (AmpliSens Coxiella burnetii-FL, InterLabService, Russia) to detect C. burnetii DNA. Results and Conclusions: Bacterial DNA was detected in 11 out of 750 (1.4%) small mammals and 695 out of 9620 (7.2%) tick samples. The high number of infected ticks (7.2%) suggests that they are the main transmitters of C. burnetii in RG. The DNA was detected in the liver and spleen of a Guinea multimammate mouse, Mastomys erythroleucus. These findings demonstrate that C. burnetii is zoonotic in RG, and measures should be taken to monitor the bacteria’s dynamics and tick prevalence in the rodent population.
Informal Work and the Appropriation of Social Reproduction in Home-Based Work in India

Home-based work is among the largest forms of employment in the informal economy in India and is overwhelmingly represented by women. Employing a social reproduction framework that reframes what is counted as labor, this article asks how women’s unpaid work activities are appropriated as labor in subcontracted home-based work. Applying this analytical framework, it becomes clear that domestic work in the home, often completed by women, is needed and exploited in this production process as a result of gendered constructs of care. The contribution considers how unpaid work is directly appropriated by capital as surplus value. The context of informal work is key here because of the irregular and fragmented production process, the space where work occurs, and the use of unpaid family workers. The goal of this research is to offer empirical evidence that broadens analytical perspectives to account for the context of informality in the Global South. HIGHLIGHTS Subcontracted home-based work in India relies on a gendered, fragmented, and precarious labor force. Unpaid caregiving and household work directly contributes to profit-making. Western analytical concepts of the economy need to be reexamined in the context of the postcolonial informal economies. Research tools that measure economic participation need to capture how unpaid activities directly or indirectly contribute to economic processes.