Miracle-dz/UniFAR-FTUs huggingface dataset:
Feature-Weighted Naive Bayesian Classifier for Wireless Network Intrusion Detection

Objective. Wireless sensor networks, crucial for various applications, face growing security challenges due to the escalating complexity and diversity of attack behaviours. This paper presents an advanced intrusion detection algorithm, leveraging feature-weighted Naive Bayes (NB), to enhance network attack detection accuracy. Methodology. Initially, a feature weighting algorithm is introduced to assign context-based weights to different feature terms. Subsequently, the NB algorithm is enhanced by incorporating Jensen–Shannon (JS) divergence, feature weighting, and inverse category frequency (ICF). Eventually, the improved NB algorithm is integrated into the intrusion detection model, and network event classification results are derived through a series of data processing steps applied to corresponding network traffic data. Results. The effectiveness of the proposed intrusion detection algorithm is evaluated through a comprehensive comparative analysis using the NSL-KDD dataset. Results demonstrate a significant enhancement in the detection accuracy of various attack types, including normal, denial of service (DoS), probe, remote-to-local (R2L), and user-to-root (U2R). Moreover, the proposed algorithm exhibits a lower false alarm rate compared to other algorithms. Conclusion. This paper introduces a wireless network intrusion algorithm that not only ensures improved detection accuracy and rate but also reduces the incidence of false detections. Addressing the evolving threat landscape faced by wireless sensor networks, this contribution represents a valuable advancement in intrusion detection technology.
Resident perceptions of the relative importance of socio-cultural, biodiversity, and commercial values in Australia's Tropical Rivers - Report for the North Australia Water Futures Assessment

Disclaimer JCU advises that the information contained in this publication comprises general statements based on scientific research. The reader is advised and needs to be aware that such information may be incomplete or unable to be used in any specific situation. No reliance or actions must therefore be made on that information without seeking prior expert professional, scientific and technical advice. To the extent permitted by law, JCU (including its employees and consultants) excludes all liability to any person for any consequences, including but not limited to all losses, damages, costs, expenses and any other compensation, arising directly or indirectly from using this publication (in part or in whole) and any information or material contained in it. and Communities and the National Water Commission. The views and opinions expressed in this publication are those of the authors and do not necessarily reflect those of the Australian Government or the Minister for Sustainability, Environment, Water, Population and Communities. While reasonable efforts have been made to ensure that the contents of this publication are factually correct, the Commonwealth does not accept responsibility for the accuracy or completeness of the contents, and shall not be liable for any loss or damage that may be occasioned directly or indirectly through the use of, or reliance on, the contents of this publication. Copyright This publication is copyright. Apart from any fair dealing for the purpose of private study, research, criticism or review as permitted under the Copyright Act, no part may be reproduced, by any process, without written permission from the publisher. Enquiries should be made to the publisher, James Cook University. Acknowledgements The project was jointly funded as part of the Northern Australia Water Futures Assessment (NAWFA). NAWFA is a multidisciplinary program being delivered jointly by the Department of Sustainability, Environment, Water, Population and Communities and the National Water Commission, in close collaboration with the Office of Northern Australia and State and Territory government agencies. This project was developed in collaboration with research partners from TRaCK (Tropical Rivers and Coastal Knowledge www.track.gov.au) ‐ a research hub which has drawn together more than 70 of Australia's leading social, cultural, environmental and economic researchers. We gratefully acknowledge and appreciate the contribution to this research made by Mitchell River A special thank you is also due to:  The TO's who so graciously introduced us to relevant people and helped us to conduct interviews:  All those …
The impact of cyberbullying on student motivation to learn: Insights from Abu Dhabi Emirate schools

This study explores the influence of cyberbullying on students' motivation towards learning. The research included a sample of 336 students encompassing both genders and various educational levels in schools across the Emirate of Abu Dhabi during the first semester of the 2022-2023 academic year. After conducting extensive validation and reliability testing, the study developed a motivation for learning questionnaires using a descriptive analytical technique. The questionnaire consisted of four dimensions: self-confidence, responsibility, persistence and ambition. The findings revealed statistically significant differences in motivation towards learning among the study sample based on gender and school level while no significant differences were observed concerning the educational level of the guardian. The study recommends reducing adolescents' excessive screen time, monitoring their exposure to violent content in electronic media and increasing community awareness through media campaigns regarding the negative consequences of cyberbullying. Furthermore, it highlights the importance of media promoting authentic Arab and Islamic values such as tolerance, citizenship, belonging and community engagement.
Reduced Complexity Correlation-Based Multi-Stream DPD for Hybrid Massive MIMO

This article proposes a reduced complexity digital predistortion (DPD) scheme for fully-connected hybrid beamforming systems for massive multiple-input multiple-output (MIMO) channels impaired by nonlinear power amplifiers (PAs). Due to the inherent physical structure of the fully-connected hybrid beamforming architecture, we consider a two-stage vector DPD method to linearize the received signal at the user terminal by performing single input DPD operations at the virtual antenna elements and combining the predistorted virtual outputs properly. The required computational complexity is reduced by exploiting the spatial correlation of the antenna input signals such that redundant computation of the nonlinear complex DPD implementation is eliminated. Our results demonstrate that we can outperform the existing DPD solutions for fully-connected hybrid MIMO in terms of out-of-band emissions, the error-vector magnitude of the received signals, and computational complexity.
Investigation of Surface Characteristic Effects on Real-Virtual Object Alignment in Stereoscopic Augmented Reality Images

This paper reports a virtual pointer alignment experiment carried out in a stereoscopic augmented reality environment, in which the known conflict between binocular fusion and object interposition cues is expected to play a major role. The object was to evaluate subjects' perceptual sensitivity to target position at designated probe points on a cylindrical real object surface, visual texture of that surface, virtual pointer geometrical properties, and degree of binocular disparity. The results confirmed the primary findings from previous experiments: that both surface texture and target position have significant influences. Subjective evaluation of form of the virtual pointer revealed that the three dimensional pointer was preferred over the one and two-dimensional pointers.
Predicting persistence in engineering through an engineering identity scale

Identity is emerging as an underlying explanation for persistence in engineering, but few prior studies have directlymeasured the engineering identity of engineering students, nor compared it with observed persistence. Of these studies,there are connections between (a) students’ math, physics, and science reported interest, performance, competence, andrecognition and (b) their identification and persistence in these domains and engineering. This study expands on thatresearch by adapting previously validated scales of math and science identity to predict engineering identity andpersistence. Data used in this study were drawn from a cross-sectional sample of undergraduate engineering students inmechanical and civil engineering (n = 474). We used exploratory factor analysis to analyze engineering identity itemsadapted from prior survey studies. We used logistic regression to predict engineeringidentity and one-year persistence aftercontrolling for gender, major, students classification, and mother’s education. The engineering identity factors align wellwith previously validated math and physics identity factors as evidenced by the factor loadings and Cronbach’s alpha.Results from logistic regression models indicate that engineering interest, recognition, and performance/competencesignificantly predict engineering identity after controlling for student classification, major, and mother’s education.Moreover, males and females report approximately the same attitudes on these predictors. Major, classification, andengineering interest were significant predictors of persistence in engineering. Gender was neither a significant predictor ofengineering identity nor persistence in engineering. This study is the first step in using an engineering identity scale todirectly measure engineering identity in undergraduate students beyond the first-year.
Structure and productivity of an eastern white pine plantation on two mid-Cumberland Plateau landtypes at ages 33 and 44

We examined the growth of an eastern white pine (Pinus strobus, L) (EWP) plantation established in 1964 at 6by 6-foot spacing on an abandoned pasture. Our study was located about 30 miles south of the botanical range of EWP on the mid-Cumberland Plateau in south-central Tennessee (35o13’ N; 85o56’ W). It extended across two landtypes (LT) (LT-1, undulating sandstone uplands and LT-5, north-facing sandstone slopes) with similar site indexes. Stand characteristics (survival, quadratic mean diameter, mean total height, site index, cubic and board foot volumes) at ages 33 and 44 were compared with those from an earlier measurement at age 15. Measured cubic volumes were compared with predicted values from two growth and yield models developed for EWP plantations in the Southern Appalachian Mountains of North Carolina. At age 44, stand characteristics were similar between the two LTs and were in close agreement with model predictions. Results of this long-term, unreplicated study suggest that EWP may be a species for consideration by private landowners when converting medium-quality upland sites populated with low-value hardwoods to faster growing conifers on the mid-Cumberland Plateau.
A comparative study of coal fly and bottom ashes as sustainable electroactive vibration damping materials

Coal is used in most of the power and chemical plants to meet energy needs which produce various waste ashes. Reuse of these ashes as electroactive materials has great importance for sustainable development. In this study, it was detected that the main components of coal fly (CFA) and bottom ashes (CBA) were oxides of silica (SiO2), iron (Fe2O3), aluminium (Al2O3), and magnesium (MgO), besides carbon. These are well-known electrorheological (ER) active materials. The aim of this study is to reveal dielectric and electroactive vibration damping capabilities of CFA and CBA. According to the dielectric and ER flow tests carried out in insulating silicone oil (SO), the optimum concentration of particles was determined to be 35 wt. % for both ashes. Higher ER yield stress (τy = 135 Pa), higher ER efficiency (32.8), and better viscoelastic properties (τc = 128 Pa, G' = 680 kPa) under 3.0 kV mm-1 applied electric field were obtained for 35CFA/SO suspension system compared to 35CBA/SO (τy = 125 Pa, EReff = 24.0, τc = 55 Pa, G' = 260 kPa). Although it was concluded that both ashes can be upcycled to sustainable and smart vibration damping alternative materials, better performance was observed for CFA particles.
In-seam seismic exploration techniques——a geophsical method predictting coal-Mine disaster

Since the velocities in surrounding rocks of roof and floor are faster than those in coal seam,the total reflection takes place if the angle of incidence is greater than critical angle when the seismic waves are excited in coal seam.After multiple combination and superposition of total reflection,channel wave will generate in coal seam.Channel wave is a confined wave and has the dispersion phenomenon which is the most important feature.Besides,when propagating in coal seam,channel wave has other features including low speed and weak attenuation.So it can be used to detect voids,faults and other geological structures in coal seam.This paper describes the current research situation of In Seam Seismic,the formation of channel wave,channel waves' features,methods of In Seam Seismic exploration,example of application and so on,and make an expection about In Seam Seismic exploration according to its characteristics.
Hubungan Dukungan Keluarga Dengan Kualitas Hidup Pasien Gagal Jantung Kongestif Di Poliklinik Jantung RSUD Kabupaten Sukoharjo

Congestive heart failure is a condition in which the heart's organs are unable to pump blood throughout the body adequately. This condition can lead to shortness of breath, cough and fatigue easily, resulting in activity intolerance that impact on quality of life. Family support is needed to help patients achieve better conditions. Objective to determine the relationship of family support to the quality of life of patients with congestive heart failure in heart polyclinic RSUD Sukoharjo District.Analytical quantitative design with cross sectional approach was used in this study. The number of research sample is 67 respondents taken by accidental sampling. The statistical test was performed with chi-square. The results showed a relationship between family support and quality of life of patients with congestive heart failure and p-value = 0.000. Provision of health education during hospital visits, the formation of post-rehospitalization peer groups and motivational impetus provided by medical personnel to families will encourage families to be actively involved in caring for patients while at home, exchanging information and sharing experiences experienced by other sufferers can help the patient in maintaining the condition optimally.
Polysaccharides Produced by Plant Growth-Promoting Rhizobacteria Strain Burkholderia sp. BK01 Enhance Salt Stress Tolerance to Arabidopsis thaliana

Salt stress is one of the most serious abiotic stresses leading to reduced agricultural productivity. Polysaccharides from seaweed have been used as biostimulants to promote crop growth and improve plant resistance to abiotic stress. In this study, PGPR strain Burkholderia sp. BK01 was isolated from the rhizosphere of wheat, and it was characterized for phosphorus (Pi) dissolution, indole-3-acetic acid (IAA) production, ammonia (NH3) and exopolysaccharides (EPS). In particular, strain BK01 can efficiently produce extracellular polysaccharide with a yield of 12.86 g/L, using sorbitol as carbon source. BK01 EPS was identified as an heteropolysaccharide with Mw 3.559 × 106 Da, composed of (D)-galactose (75.3%), (D)-glucose (5.5%), (L)-rhamnose (5.5%), (D)-galactouronic acid (4.9%) and (D)-glucuronic acid (8.8%). The present work aims to highlight the effect of the BK01 EPS on growth and biochemical changes in Arabidopsis thaliana under salt stress (100 mM). The purified BK01 EPS at a concentration of 100 mg/L efficiently promoted the growth of plants in pot assays, improved the chlorophyll content, enhanced the activities of SOD, POD and CAT, and decreased the content of MDA. This results suggested that the polysaccharides produced by PGPR strain Burkholderia sp. BK01 can be used as biostimulants to promote plant growth and improve plant resistance to salt stress.
Insulin-like growth factor 1 and its prognostic value in the course of acute ischemic cerebrovascular events

Introduction The aim of the study was to evaluate insulin-like growth factor 1 (IGF-1) as a predictor of the course of an acute cerebral ischemic event (AICE). This polypeptide, by activating receptors that are present in most tissues, including the brain, mediates the anabolic activity of growth hormone (GH) and its impact on growth and maturation processes, as well as organisms’ survival time. AICE can occur in the form of a transient ischemic attack (TIA) or an ischemic stroke (IS). Material and methods The study included 86 participants. The correlation between serum IGF-1 concentration and the clinical status of 56 patients on days 1 and 9 of AICE, as well as risk factors and the course of the disease, were prospectively analyzed. The control group consisted of 30 healthy volunteers. Results Patients with a minor baseline neurological syndrome had higher serum IGF-1 concentrations than patients with severe baseline neurological dysfunctions. Multidimensional analyses showed that high IGF-1 values independently determined the worse course of the disease, especially in patients with a severe neurological deficit present on the first day of AICE. Conclusions Our results indicate that the high level of circulating IGF-1 on the first day of AICE is an independent factor determining the unfavorable course of the stroke, and this relationship is proportional to the severity of the baseline neurological deficit. The study also revealed a positive correlation between the decreased plasma IGF-1 concentration on the first day of AICE and the severity of neurological symptoms.
Intelligent Text Clustering Analysis of Novels Based on Digital Semantic Similarity Calculation

Faced with the increasing number of novels on the Internet, how to quickly and effectively retrieve novels that meet the needs of users has become a difficult problem for novel retrieval. This paper explores the clustering analysis of novel texts based on semantic similarity calculation. This paper improves a text clustering algorithm based on semantic similarity and applies it to novel text clustering. The improved algorithm puts forward a feature selection method and a clustering description method suitable for novel texts. In this paper, the algorithm overcomes the problem of insufficient accuracy of text similarity due to incomplete semantic consideration of traditional similarity algorithm, and describes the semantic similarity of synonyms and synonyms more accurately. At the same time, the influence of threshold selection on clustering results is overcome, and the clustering accuracy and time efficiency are improved. Experiments show that the clustering accuracy of this algorithm can reach 94.34%, which is 10.89% higher than that of K-means. The clustering method proposed in this paper has high comprehensiveness, and it can improve the accuracy of text clustering and the efficiency of clustering algorithm. This study provides an idea for novel text clustering analysis.
Novel pipeline of high-frequency neoantigens heathy donor-based validation in breast cancer

Neoantigen, a peptide fragment formed by genetic mutation, gives immunologist a new target for cancer therapy. Development of biotechnology has opened a new era for discovering high-frequency neoantigens. The aim of our study was to identify breast cancer neoantigens for tumor immunotherapy using an efficient way. Here, we established a computational pipeline to identify neoantigens associated with breast cancer using data from database and evaluated the immunogenicity of neoantigens using the peripheral blood of healthy donators in vitro. We identified 39,401 missense mutation sites from 285,283 single nucleotide variations (SNVs) obtained from database, and confirmed candidate epitopes by analyzing the binding affinity of mutant epitopes and human leukocyte antigen (HLA) using 6 algorithms. Peptide-binding assay was used as a complement for affinity testing. The immunogenicity of candidate peptides with high affinity were assessed through enzyme-linked immunospot (ELISPOT) assay and Cytotoxicity assay. In our study, we identified 10 candidate peptides with high binding affinity of HLA-A*0201 alleles, and seven of ten peptides showed the ability of inducing specific cytotoxic lymphocytes(CTLs) ex vivo, in healthy HLA-A2+ donors. We found that the peptide derived from TWISTNB have the highest immunogenicity and cytotoxicity among those candidate peptides. Furthermore, it can trigger the immune response of specific-CTLs to destroy target cells expressing this neoantigen in vitro, and without cross-reactivity with wild-type peptides. We conclude that the effective pipeline will provide potential possibilities to rapidly identify abundant high-frequency neoantigens and create neoantigen library for immunotherapy of breast cancer and even other tumors.
ANAEROBIC THRESHOLD AND KERNEL ESTIMATORS

The transition threshold from aerobic to anaerobic metabolism of athletes practising endurance sports is identified with the deflection point in the graph of cardiac frequency versus velocity. A parametric statistical background was provided (Calderoni et al., 1990) by assuming a transition from linear to parabolic regression. By interpreting the threshold as a jump-point for the first derivative of a continuous regression curve, the use of one-sided kernel estimators can be a useful explorative treatment. Here Müller’s theory of such kernels is summarized and simulations are discussed for this type of application.
Acute Exposure to Textile Waste Water Altered the Reproduction Biomarkers in Clarias gariepinus Broodstock

This study was prompted by an earlier study that revealed the absence of gonads in all fish species caught around the Itoku tributary of the Ogun River, an area known for active textile activities. Thus, this study investigated the effect of textile wastewater on reproduction biomarkers in African catfish broodstock. Male and female broodstock were exposed to varying pre-determined concentrations (0ppb-T0, 0.5ppb-T1, 0.35ppb-T2, 2ppb-T3) of the textile wastewater for a period of 96 hours. Water quality parameters, seminal/ovarian hormones, metabolites, ions, oxidative, enzymes, and sperm viability were assayed. The water quality parameters of the wastewater indicated varying degrees of physical and chemical pollution. The values of hormones were significantly different (p<0.05) although a trend was not observed. Prolactin, however, showed a marked difference statistically across the treatments in the male broodstock while a reverse trend was observed in the female broodstock. The values recorded for seminal metabolites increased significantly compared to the control except for T3 for cholesterol and T1 glucose which were significantly lower than the control. In the female broodstock, the values for glucose and creatinine significantly increased compared to the control. Seminal ions evaluated showed significant differences across treatments. Except for T1, there was a significant reduction observed in the values of sodium, chloride, and calcium compared to the control. For ovarian ions, a significant increase was recorded across the treatments compared to the control. However, sodium recorded a significant decrease compared to the control except for T3 where the value was higher than the control. In the male broodstock, aspartate aminotransferase and alanine aminotransferase values were significantly lower compared to control while an opposite trend was observed in the female broodstock. The concentration of sperm and life- to-death ratio significantly reduced across treatments compared to the control. These results indicate that the textile wastewater altered the reproduction biomarkers in the male and female broodstock. The implication of this is that reproduction in fish might become a challenge in textile wastewater polluted Itoku tributary of the Ogun River.