Miracle-dz/UniFAR-FTUs huggingface dataset:
Model-Based Feature Selection for Developing Network Attack Detection and Alerting System

The use of the Intrusion Detection Systems (IDS) still has unresolved problems, namely the lack of accuracy in attack detection, resulting in false-positive problems and many false alarms. Machine learning is one way that is often utilized to overcome challenges that arise during the implementation of IDS. We present a system that uses a machine learning approach to detect network attacks and send attack alerts in this study. The CSE-CICIDS2018 Dataset and Model-Based Feature Selection technique are used to assess the performance of eight classifier algorithms in identifying network attacks in order to determine the best algorithm. The resulting XGBoost Model is chosen as the model that provides the highest performance results in this comparison of machine learning models, with an accuracy rate of 99 percent for two-class classification and 98.4 percent for multi-class classification.
The PDE4 Inhibitor Tanimilast Restrains the Tissue-Damaging Properties of Human Neutrophils

Neutrophils, the most abundant subset of leukocytes in the blood, play a pivotal role in host response against invading pathogens. However, in respiratory diseases, excessive infiltration and activation of neutrophils can lead to tissue damage. Tanimilast-international non-proprietary name of CHF6001—is a novel inhaled phosphodiesterase 4 (PDE4) inhibitor in advanced clinical development for the treatment of chronic obstructive pulmonary disease (COPD), a chronic inflammatory lung disease where neutrophilic inflammation plays a key pathological role. Human neutrophils from healthy donors were exposed to pro-inflammatory stimuli in the presence or absence of tanimilast and budesonide—a typical inhaled corticosteroid drug-to investigate the modulation of effector functions including adherence to endothelial cells, granule protein exocytosis, release of extracellular DNA traps, cytokine secretion, and cell survival. Tanimilast significantly decreased neutrophil-endothelium adhesion, degranulation, extracellular DNA traps casting, and cytokine secretion. In contrast, it promoted neutrophil survival by decreasing both spontaneous apoptosis and cell death in the presence of pro-survival factors. The present work suggests that tanimilast can alleviate the severe tissue damage caused by massive recruitment and activation of neutrophils in inflammatory diseases such as COPD.
The Efficiency of Applying Compressed Sampling and Multi-Resolution Into Ultrasound Tomography

Introduction: This publication is the product of research developed within the research lines of the Smart Sensing, Signal Processing, and Applications (3SPA) research group throughout 2018, which supports the work of a doctor’s degree at VNU University of Engineering & Technology, Vietnam. Problem: The limitations of diagnostic ultrasound techniques using echo information has motivated the study of new imaging models in order to create additional quantitative ultrasound information in multi-model imaging devices. A promising solution is to use image sound contrast because it is capable of detecting changes in diseased tissue structures. Ultrasound tomography shows speed-of-sound changes in the propagation medium of sound waves. This technique is primarily used for imaging cancer-causing cells in womens’ breasts. The Distorted Born Iterative Method (DBIM), based on the first-order Born approximation, is an efficient diffraction tomography approach. The compressed sensing technique is utilized for DBIM to obtain the high-quality ultrasound image, although the image reconstruction process is quite long. Objective: The objective of the research is to propose an combined method for the efficient ultrasound tomography. Methodology: In this paper, we proposed an approach to enhance the imaging quality and to reduce the imaging time by applying the compressed sensing technique along with the multi-resolution technique for the DBIM. Results: The simulation results indicate that the imaging time is reduced by 33% and the imaging quality is improved by 83%. Conclusion: This project seeks to propose an improvement in ultrasound tomography. The simulated results confirmed the realibility of the propsed method. Originality: Through this research, a combined method of compressed sensing and multiple resolution are formulated for the first time in ultrasound tomography. Limitations: The lack of experiments to confirm the proposed method.
Stabilization of the Distal Radioulnar Joint with or without Triangular Fibrocartilage Complex Tear by an External Wrist Band Brace: A Cadaveric Study

The purpose of this study was to investigate whether a watch-shaped external wrist band brace improves distal radioulnar joint (DRUJ) stability. Seven fresh cadaveric arms were used. Using a customized testing system, volar and dorsal translation forces were applied to the radius externally while the ulna was fixed. The test was performed with the forearm in neutral, 60° pronated, and 60° supinated positions, once without the brace and once with the brace applied. In each condition, the amount of translation was measured. Then, the triangular fibrocartilage complex (TFCC) was detached from the ulnar styloid process and the fovea ulnaris, and the same tests were performed again. Detachment of the TFCC significantly increased volar and dorsal translations in all forearm rotations compared to the intact condition (p < 0.05), except for the pronated dorsal translation of the radius (p = 0.091). Brace application significantly reduced volar and dorsal translations in all forearm rotations both in intact specimens and in TFCC-detached specimens (p < 0.05), except for pronated volar and dorsal translations in TFCC-detached specimens (p = 0.101 and p = 0.131, respectively). With the brace applied, the TFCC-detached specimens showed no significant difference in volar or dorsal translation in all forearm rotations compared to the intact specimens (p > 0.05). The external wrist band brace improved DRUJ stability in both normal and TFCC-torn wrists and reduced the DRUJ instability caused by TFCC tear to a near-normal level.
A Novel Martingale Based Model Using a Smartphone to Detect Gait Bout in Human Activity Recognition

Gait bout is when an individual performs certain physical activities such as walking or running. In the last few decades, the study of gait bout has led to substantial progress in treating gait impairment (neuropathic, myopathic, and parkinsonian) in a person. Recently, gait bout study has been improved by advancing smartphone technology. To perform gait bout tasks, two different human activity scenarios, such as walking upstairs and standing, are obtained using the axis orientation of a smartphone accelerometer. To capture the pattern of walking upstairs and standing, we utilize a smartphone device attached to the waist of 30 subjects within the age group from 19 to 48 years old. We propose a human activity recognition model known as the multivariate triple exponential weighted moving average of the martingale sequence using particle swarm optimization (MTMS(PSO)) in the experimental setup. MTMS(PSO) utilizes the martingale framework to capture gait bout in human activity recognition data. Firstly, MTMS(PSO) is an unsupervised learning method that uses smoothing techniques such as triple exponential smoothing to remove high-frequency noise from the processed activity times series, making the patterns more visible. Secondly, the activity recognition model involves computing a threshold for identifying gait bout. Thirdly, MTMS(PSO) uses logical precedent and particle swarm optimization to enhance accuracy and precision. As a result, the overall MTMS(PSO) accuracy and G-mean are 95.4 % and 96.1 % , respectively. In addition, MTMS(PSO) technique independently outperforms other traditional methods such as MRPM(PSO), MGM(PSO), and ELM.
Community assembly during vegetation succession after metal mining is driven by multiple processes with temporal variation

Abstract The mechanisms governing community assembly is fundamental to ecological restoration and clarification of the assembly processes associated with severe disturbances (characterized by no biological legacy and serious environmental problems) is essential. However, a systematic understanding of community assembly in the context of severe anthropogenic disturbance remains lacking. Here, we explored community assembly processes after metal mining, which is considered to be a highly destructive activity to provide insight into the assembly rules associated with severe anthropogenic disturbance. Using a chronosequence approach, we selected vegetation patches representing different successional stages and collected data on eight plant functional traits from each stage. The traits were classified as establishment and regenerative traits. Based on these traits, null models were constructed to identify the processes driving assembly at various successional stages. Comparison of our observations with the null models indicated that establishment and regenerative traits converged in the primary stage of succession. As succession progressed, establishment traits shifted to neutral assembly, whereas regeneration traits alternately converged and diverged. The observed establishment traits were equal to expected values, whereas regenerative traits diverged significantly after more than 20 years of succession. Furthermore, the available Cr content was linked strongly to species' ecological strategies. In the initial stages of vegetation succession in an abandoned metal mine, the plant community was mainly affected by the available metal content and dispersal limitation. It was probably further affected by strong interspecific interaction after the environmental conditions had improved, and stochastic processes became dominant during the stage with a successional age of more than 20 years.
Simulation Design of Surface Acoustic Wave Sensor Based on Langasite Coplanar Integration with Multiple Parameters

In the harsh environment of high temperature and high rotation, a single parameter is difficult to satisfy the multi-parameter test requirements of aerospace metallurgy. Therefore, a multi-parameter coplanar integrated surface acoustic wave (SAW) sensor based on Langasite (LGS) is proposed. In this paper, the optimal cut for different measurement parameters is analyzed, and the optimal cut to temperature, pressure and vibration are obtained. The simulation results show that (0°, 138.5°, 25°) LGS has superior second-order temperature sensitivity, the edge of the rectangular sealed cavity is more suitable for pressure sensors, and the optimal cut is (0°, 138.5°, 30°). The stress of the vibration sensor cantilever beam is mainly concentrated on the edge of the fixed end, and the optimal cut is (0°, 138.5°, 35°). Based on the optimal sensitive tangential direction of each sensitive element and the symmetry of the Langasite wafer, the reasonable layout of the coplanar integrated structure with the three parameters of temperature, pressure and vibration is determined. Moreover, according to the optimal orientation selection and reasonable structure layout of each parameter, combined with frequency separation rules, the parameters of interdigital electrode were determined, and the idea of multi-parameter integrated design was simulated and verified.
The Use of Inexpensive Sorbents to Remove Dyes from Wastewater - A Review

 The application of inexpensive adsorbents to remove dyes from wastewater was reviewed.  The various removal technologies, along with their Pros and Cos were highlighted  Adsorption techniques were found to be very effective mixed also some dyes. aquatic creatures, the environment all dyes. As a treated dyes that manage wastewater must be being discharged into nearby of water. Adsorption has proven to be high and cost-effective in removing dyes from wastewater. The sorbent material for dye removal from industrial effluent is activated carbon, but its high cost limits massive-scale utilization. The use of cost-effective adsorbents for discharge dye elimination is discussed and analyzed in this paper. This review underlines and displays a preview of these IASs, including natural, industrial, and made-up materiality/wastes and their utilization in removing dyes. Experiments have shown that various inexpensive non-traditional adsorbents lead to effective dye removal. Accordingly, studies dealing with the search for effective and affordable sources from current resources are becoming increasingly crucial for eliminating dye. The excess desire for functional and affordable processing modes and adsorption significance has led to inexpensive alternative sorbents (IASs). The isotherm analysis and adsorption kinetics indicate that Langmuir / Freundlich, besides the pseudo-second-order model, is the most used pattern for convenient empirical adsorption datum. Low-cost by-products from the agricultural, residential, and industrial sectors have been identified as viable wastewater treatment alternatives. They make it possible to remove contaminants from wastewater while also contributing to waste minimization, recovery, and reuse. This review revealed that some IASs, have ratable adsorption capabilities and rapid
Legal Position Open and Closed Traditional Court Decisions Relating to Indigenous Land Disputes in Malamoi Sorong Region in Positive Law (Case Study Between the Clan Malibela Klawalu Against the Clan Malibela Klaifi)

The type of research used in this research is normative legal research. Whereas in civil justice system, there are norms and principles that provide space for practice of customary justice which has a combination of characteristics as informal justice, communal justice, alternative dispute resolution, and simplified court regardless of inconsistency and inconsistency of laws and regulations regarding the existence customary justice system in Indonesian judicial system that applies positively. The influence of the position of customary courts in the civil justice system is especially apparent in the functional relationship between customary court decisions and the settlement of civil cases in court. Therefore, to accommodate the existence of customary court decisions, in practice judges will optimize the mechanisms regulated in the civil justice system such as through mediation in court.
The impact of physical activity on students' happiness in the context of positive and negative motivation

Background and Study Aim. This study investigated whether the physical activity and the type of motivation among students inactive in professional sport can enhance their life satisfaction.Material and Methods. An experimental study was conducted with the participation of 164 students (not athletes) aged 24,52±4. In the experimental groups participants engaged in physical activity which they performed at their leisure 3 times a week for at least 30 minutes for 6 weeks. Additionally, the students were motivated to be active in a positive way (focus on benefits), in a negative way (focus on avoiding losses) or were not motivated at all. The experiment was based on a mixed group plan - with the initial and final measurement of the Satisfaction With Life Scale (SWLS), Positive and Negative Affect Schedule (PANAS). Results. The results confirm that involvement in regular sport brings benefits in terms of improving psychological well-being. The type of motivation proved to determine the influence of the practiced sport on life satisfaction. Students who were negatively motivated achieved a positive change but in terms of the level of negative affect it was lower than in the other groups. On the other hand, positively motivated students achieved the greatest change in terms of positive and negative emotions. However, there was no increase in the level of subjective well-being in these subjects. The greatest psychological benefits of sports activity were achieved by the subjects who were focused only on being active without additional motivation. There were no changes in the analyzed variables in the control group.Conclusions. This data may contribute to promoting undertaking leisure activities that will actually increase life satisfaction of young adults.
RNAi-Mediated Knockdown of Calreticulin3a Impairs Pollen Tube Growth in Petunia

Pollen tube growth depends on several complex processes, including exo/endocytosis, cell wall biogenesis, intracellular transport, and cell signaling. Our previous results provided evidence that calreticulin (CRT)—a prominent calcium (Ca2+)-buffering molecular chaperone in the endoplasmic reticulum (ER) lumen—is involved in pollen tube formation and function. We previously cloned and characterized the CRT gene belonging to the CRT1/2 subgroup from Petunia hybrida (PhCRT1/2), and found that post-transcriptional silencing of PhCRT1/2 expression strongly impaired pollen tube growth in vitro. Here, we report cloning of a new PhCRT3a homolog; we identified the full-length cDNA sequence and described its molecular characteristics and phylogenetic relationships to other plant CRT3 genes. Using an RNA interference (RNAi) strategy, we found that knockdown of PhCRT3a gene expression caused numerous defects in the morphology and ultrastructure of cultivated pollen tubes, including disorganization of the actin cytoskeleton and loss of cytoplasmic zonation. Elongation of siPhCRT3a pollen tubes was disrupted, and some of them ruptured. Our present data provide the first evidence that PhCRT3a expression is required for normal pollen tube growth. Thus, we discuss relationships between diverse CRT isoforms in several interdependent processes driving the apical growth of the pollen tube, including actomyosin-dependent cytoplasmic streaming, organelle positioning, vesicle trafficking, and cell wall biogenesis.
Natural Compound Shikonin Is a Novel PAK1 Inhibitor and Enhances Efficacy of Chemotherapy against Pancreatic Cancer Cells

Shikonin is the main component of root extracts from the Chinese herbal medicine Lithospermum erythrorhizon, which is commonly used for the treatment of various diseases including cancer. Previous research showed that shikonin suppressed pancreatic cancer growth; nevertheless, its molecular targets and mechanisms have not been elucidated. This study aimed to investigate the interaction and regulatory mechanisms of shikonin on its potential target p21-activated kinase 1 (PAK1). Through a labchip-based screening method, shikonin was identified as a potential bioactive PAK1 inhibitor. Molecular docking technology was used to detect the interaction sites of shikonin and PAK1 kinase. Western blot was performed to validate the mechanism. MTT and flow cytometry were practiced to investigate the effect of shikonin against pancreatic cancer cells. The results show that shikonin significantly inhibited the activity of PAK1 kinase with IC50 value of 7.252 ± 0.054 μM. Molecular docking studies showed that shikonin binds to the ATP-binding pocket of the PAK1 kinase domain. Moreover, shikonin inhibited PAK1 activation and its downstream signaling pathway proteins, while reducing proliferation and inducing apoptosis of pancreatic cancer cells. Further studies showed that the treatment of shikonin sensitized pancreatic cancer cells to chemotherapeutic drugs. These results suggest that shikonin, a potential natural inhibitor targeting PAK1 kinase, has promising potent applications in the treatment of pancreatic cancer and chemotherapy sensitization.
Th2 Cytokine Gene Locus Identifies Ets-1 as a Novel Regulator of the Phylogenetic and Functional Analysis

The Th2 cytokine gene locus has emerged as a remarkable example of coordinated gene expression, the regulation of which seems to be rooted in an extensive array of cis -regulatory regions. Using a hypothesis-generating computational approach that integrated multispecies ( n = 11) sequence comparisons with algorithm-based transcription factor binding-site predictions, we sought to identify evolutionarily conserved noncoding regions (ECRs) and motifs shared among them, which may underlie coregulation. Twenty-two transcription factor families were predicted to have binding sites in at least two Th2 ECRs. The ranking of these shared motifs according to their distribution and relative frequency pointed to a regulatory hierarchy among the transcription factor families. GATA sites were the most prevalent and widely distributed, consistent with the known role of GATA3 as a Th2 master switch. Unexpectedly, sites for ETS-domain proteins were also predicted within several Th2 ECRs and the majority of these sites were found to support Ets-1 binding in vitro and in vivo. Of note, the expression of all three Th2 cytokines (IL-5, -13, and -4) was signiﬁcantly and selectively decreased in Th2 cells generated from Ets-1–deﬁcient mice. Collectively, these data suggest that Ets-1 contributes to Th2 cytokine gene regulation by interacting with multiple cis -regulatory regions throughout the Th2 locus. The Journal of Immunology , 2010, 184: 1309–1316. Ab relative to normal rabbit IgG (speciﬁc enrichment). Real-time PCR Total RNA was extracted using TRIzol reagent and reverse-transcribed using oligo(dT) priming. Negative control reactions without reverse tran-scriptasewerealwaysincluded.SemiquantitativeRT-PCRwasperformedinduplicateonanABIPrism7900SequenceDetectionSystemusingSYBRgreendyedetection.mRNAlevelsweremeasuredusingpredesignedprimersetsformurine Il4 , Il5 , Il13 , Il10 , Gata3 , and Gapdh (Quantitect Primer Assays, Qiagen). Products were veriﬁed by melting curve analysis. Th2 cytokine and Gata3 mRNA levels are expressed relative to Gapdh mRNA abundance within the same sample.
Indoor contaminant source identification by inverse zonal method: Levenberg–Marquardt and conjugate gradient methods

ABSTRACT Indoor contaminant characteristics have been identified traditionally by inverse computational fluid dynamics methods. However, these methods are too time-consuming and costly. In this study, an inverse zonal method was developed as a simple model to provide an alternative and inexpensive approach for identifying indoor contaminant source characteristics. In the direct problem, experimental data and computational fluid dynamics results were employed to validate the reliability of the direct zonal method. This comparison showed the capability of the direct zonal method to simulate the contaminant airflow distribution in indoor environments. Finally, the inverse zonal method was used to predict the location and strength of an unknown indoor contaminant source with prior knowledge of the source release time. The inverse techniques for solving the identification problem were the Levenberg−Marquardt and conjugate gradient methods. The results showed that these inverse methods could identify the characteristics of a gaseous emission source. Abbreviations: CFD: computational fluid dynamics; ICFD: inverse computational fluid dynamics; IZM: inverse zonal model; POMA: pressurized zonal model with the air diffuser; QR: quasi-reversibility