Miracle-dz/UniFAR-FTUs huggingface dataset:
A multimodal hybrid parallel network intrusion detection model

With the rapid growth of Internet data traffic, the means of malicious attack become more diversified. The single modal intrusion detection model cannot fully exploit the rich feature information in the massive network traffic data, resulting in unsatisfactory detection results. To address this issue, this paper proposes a multimodal hybrid parallel network intrusion detection model (MHPN). The proposed model extracts network traffic features from two modalities: the statistical information of network traffic and the original load of traffic, and constructs appropriate neural network models for each modal information. Firstly, a two-branch convolutional neural network is combined with Long Short-Term Memory (LSTM) network to extract the spatio-temporal feature information of network traffic from the original load mode of traffic, and a convolutional neural network is used to extract the feature information of traffic statistics. Then, the feature information extracted from the two modalities is fused and fed to the CosMargin classifier for network traffic classification. The experimental results on the ISCX-IDS 2012 and CIC-IDS-2017 datasets show that the MHPN model outperforms the single-modal models and achieves an average accuracy of 99.98 $ \% $ %. The model also demonstrates strong robustness and a positive sample recognition rate.
A naturalistic study on side effects of selective serotonin reuptake inhibitors in psychiatric out-patient department

Introduction: >Antidepressants are one of the most commonly prescribed psychotropic drugs. Six SSRIs are approved for various disorders. SSRIs have fewer side effects owing to its selective blocking the serotonin transporter. Nonetheless SSRI has several troublesome side effects, including nausea, diarrhoea, headache, dizziness, sexual side effects, tachycardia, or weight gain. Methodology: This cross-sectional comprised of 200 patients who were divided into two groups. Group 1 had participants who had received SSRI for less than 6 weeks duration and group 2 had patients who had taken SSRI for more than 6 months. Side effects of medications were recorded using UKU side effect rating scale and causality was ascertained using Naranjo adverse drug reaction probability scale. Results: Among the early side effect group consisting of 100 patients, 40% of patients reported at least one side effect. Tension/inner unrest, nausea and vomiting and orgastic dysfunction was the most common side effect reported. 30% of patients in late side effect group had at least one side effect. Orgastic dysfunction, decreased sexual desire and weight gain were the main side effects reported. All the reported side effects were probably associated due to the prescribed SSRI, as inferred from Naranjo causality scoring system. Conclusion: Escitalopram was the most commonly prescribed SSRI among all the SSRIs. Paroxetine and fluvoxamine were the least prescribed SSRIs. Sertraline was found to cause maximum side effects in the early group and fluoxetine caused the most side effects in the late group. Tension/Inner unrest was the most commonly reported side effects followed by sexual side effects.
How do latecomer firms achieve disruptive innovation? A business ecosystem perspective

Abstract Based on previous research related to disruptive innovation and ecosystem governance, this paper aims to explore the process by which latecomer firms achieve disruptive innovation through building ecosystems. We adopted a single-case study approach to achieve a deeper theoretical construction of this emerging phenomenon. An emerging Chinese firm was selected through theoretical sampling. We used the Gioia methodology to code and analyze the extensively collected primary and secondary data. On this basis, we reveal the process by which it achieves disruptive innovation and examined the role of business ecosystem governance in this process. Our findings illuminate the dynamic process by which latecomers achieve disruptive innovation, showing that the latecomers can achieve both disruptive technology design and disruptive market reconfiguration with the help of the business ecosystem. The study also reveals two main approaches to ecosystem governance, namely relationship governance and value governance, which play different roles in different periods of ecosystem development. Consequently, our study enriches theories related to business ecosystem governance and disruptive innovation in the latecomers. Important management implications suggest that the latecomers must not only have the ability to create new advantages in differentiation technologies, but more importantly, to open up corresponding markets for maintaining technological advantages.
Enhancing Chemical Stability through Structural Modification of Antimicrobial Peptides with Non-Proteinogenic Amino Acids

Multidrug-resistant bacteria (MDRB) remain a significant threat to humanity, resulting in over 1.2 million deaths per year. To combat this problem effectively, the development of therapeutic agents with diverse mechanisms of action is crucial. Antimicrobial peptides (AMPs) have emerged as promising next-generation therapeutics to combat infectious diseases, particularly MDRB. By targeting microbial membranes and inducing lysis, AMPs can effectively inhibit microbial growth, making them less susceptible to the development of resistance. Numerous structural advancements have been made to optimize the efficacy of AMPs. Previously, we developed 17KKV-Aib, a derivative of the Magainin 2 (Mag2) peptide, by incorporating a,a-disubstituted amino acids (dAAs) to modulate its secondary structure. 17KKV-Aib demonstrated potent antimicrobial activity against Gram-positive and Gram-negative bacteria, including multidrug-resistant Pseudomonas aeruginosa (MDRP), with minimal hemolytic activity against human red blood cells. However, 17KKV-Aib faces challenges regarding its susceptibility to digestive enzymes, hindering its potential as an antimicrobial agent. In this study, we designed and synthesized derivatives of 17KKV-Aib, replacing Lys residues with 4-aminopiperidine-4-carboxylic acid (Api), which is a cyclized dAA residue possessing cationic properties on its side chain. We investigated the impact of Api substitution on the secondary structure, antimicrobial activity, hemolytic activity, and resistance to digestive enzymes. Our findings revealed that introducing Api residues preserved the helical structure and antimicrobial activity and enhanced resistance to digestive enzymes, with a slight increase in hemolytic activity.
Analysis of ground state and excited state of powder according to laser polarization response

The ineffectiveness of powder morphology of crystal materials for laser polarization has reached a consensus in almost all steady-state experiments. However, in-depth understanding about their anisotropic behavior in ultrafast carrier dynamics is still lacking. Here we systematically explore the polarization response of MAPbI3 powder to ultrafast laser based on two-color pump-probe transmission technology. The isotropy of pump polarization and the anisotropy of probe polarization reveal the related mechanism of the interaction between ultrafast laser polarization and powder materials. It provides insight into the ultrafast photophysical process of MAPbI3 powder and helps to develop polarization-sensitive and ultrafast-responsive optoelectronic devices.
INTEGRATION OF GIS WITH THE TRANSPORTATION DEMAND MODEL TMODEL 2 AT SASKATCHEWAN DEPARTMENT OF HIGHWAYS AND TRANSPORTATION

Saskatchewan Department of Highways and Transportation conducted a pilot study in 1989 to assess the benefits of utilizing a GIS to graphically illustrate and query the existing corporate data bases. The success of this pilot study led to the full development and implementation of GIS for the Department. This paper describes the first full scale integration, by the Department, of GIS with another software package, TModel 2. The finished product will be a microcomputer based system capable of generating, distributing and assigning future traffic volumes to the existing or modified highway network. The system also will calculate level of service parameters, and will display input and output data on a digitized base map of the region.
Recognizing Optical Vortex Modes in Ultralow Illuminating Power With Convolutional Neural Network

Vortex beams' orbital angular momentum (OAM) has important application value in optical communication and other fields. Accurate measurement of their OAM topological charges is required for the application of vortex beams in the field of optical communication. As a type of convolutional neural network, DenseNet which combines the “Data Augmentation with Expansion” method, was introduced to measure the fractional topological charge of OAM images in the case of few samples. The OAM images used in this paper generally do not have high brightness, which simulates ultra-long-distance transmission situations in reality. The experiment shows that the classification accuracy of DenseNet network reaches 98.77%, with an average training time of about 1100 seconds, which is short. Our results showcase the potential of convolutional neural network approach to further study the OAM light in the application of free-space optical communication.
Influence of School Administrators’ Conflict Resolution Strategies on Teachers’ Job Satisfaction

This paper was undertaken to determine the influence of school administrators’ conflict resolution strategies on teachers’ job satisfaction in GTCs of Kano State, Nigeria. A correlational research design was used in the study. 367 respondents comprising of 15 administrators and 352 Technical teachers in GTCs in Kano State form the population of the study. The sample size was 201 respondents selected using simple random sampling technique. Conflict Management Strategies Questionnaire (CMSQ), a structured questionnaire designed by the researchers, served as the data gathering tool. Three experts validated the instrument, and a reliability index of 0.82 was established using Cronbach Alpha. The questions in the study were answered using the mean statistic, and regression analysis with a 0.05 level of significance was used to test the null hypotheses. The findings revealed that: principals in GTCs in Kano State employed the following conflict-resolution techniques: negotiation, arbitration, effective communication, conversation, accommodation, harmonization, adjudication, and smoothing. Furthermore, to a moderate extent, the negotiation conflict management strategy influences teachers' job satisfaction. It was recommended that Government should provide more training for school administrators on the effective ways for conflict management resolution strategy to engender effective conflict resolutions in GTCs that will enhance teachers’ job satisfaction. Additionally, School administrators should encourage their staff to resolve their disputes through dialogue and be ready to abide by the outcome of the dialogue.
Stable isotopic study of groundwater arsenic contaminated plume at Shepley's Hill Landfill

In the northeast United States, arsenic (As) contamination in groundwater is frequently associated with historical landfill leachate plumes. Based on the history of Shepley’s Hill Landfill (SHL) in Devens, MA, solid waste disposal activities spanned nearly a century of landfilling with little or no documentation of when or what waste material was disposed. Past geochemical investigations proved the presence of high levels of As in groundwaters within and around the SHL region. A total of 114 samples were collected from the SHL region and analyzed for their hydrogeochemistry and isotopic signature. Since the isotopic ratios of δD and δO can potentially be influenced by the mobilization process of As, this study attempts to identify any correlations between the stable isotopic ratios and the hydrogeochemistry of SHL waters. The results of the groundwater hydrogeochemical analysis show multiple relationships between metal concentrations and As concentration levels, typical of groundwater undergoing redox reactions. The result of the stable isotope analysis show significant fractionation of stable isotope ratios away from the meteoric water line. However, the role of strong redox gradients and various redox ladder reactions involving water did not produce a significant correlation with the isotopic fractionations present within different zones of the landfill. In most cases, the fractionations stand independent of the increase/decrease in As concentration and can be attributed to either unrelated chemical reactions within groundwater or evaporation. vi Table of
Characterisation of Chrysoporthe cubensis and Chrysoporthe deuterocubensis, the Stem Canker Diseases of Eucalyptus spp. in a Forest Plantation in Malaysia

Commercial plantations of Eucalyptus species have been established in Malaysia, especially during the past 10 years, with the aim of sustaining the supply of wood and timber products for industrial use in Malaysia. As part of an assessment of fungal diseases affecting Eucalyptus species in four regions in Malaysia, including Kelantan, Pahang, Sabah, and Selangor, stem canker disease was discovered to be a widespread disease infecting Eucalyptus species in Malaysia. This study aimed to identify the fungus-causing stem canker disease, test its pathogenicity in Eucalyptus, and determine the mating type of isolates from the infected trees. The fungi were identified based on morphology and through comparisons of DNA sequence data from the ITS, β-tubulin 2 gene, and TEF-1α gene regions. Phylogenetic analyses showed that the causal agent of the stem canker was Chrysoporthe cubensis infecting Eucalyptus plantations in Pahang and Chrysoporthe deuterocubensis infecting Eucalyptus plantations in Kelantan, Sabah, and Selangor. We believe this is the first report of Chrysoporthe cubensis-infected Eucalyptus in Malaysia and Southeast Asia, while Chrysoporthe deuterocubensis is the first-reported species infecting Eucalyptus pellita in Malaysia. Moreover, the fact that the mating-type MAT1-1 and MAT1-2 genes and the pheromone genes ppg1, ppg2, pre1, and pre2 were identified in all isolates indicates that Chrysoporthe cubensis and Chrysoporthe deuterocubensis are homothallic mating systems. Pathogenicity was tested on a 3-year-old standing tree, 1-year-old seedling, and detached healthy leaves, which were re-isolated for fulfilling Koch’s postulates. In pathogenicity trials, both Chrysoporthe cubensis and Chrysoporthe deuterocubensis gave rise to lesions on wounded Eucalyptus. Both Chrysoporthe spp. were equally pathogenic to Eucalyptus urograndis and Eucalyptus pellita and should be regarded as a biosecurity concern in Malaysia’s forest plantation industry.
Feasibility study on a longer side-alternating vibration therapy protocol (15 min per session) in children and adolescents with mild cerebral palsy

Objective Previous studies on side-alternating vibration therapy (sVT) have usually used a 9 min intervention protocol. We performed a feasibility study aimed at assessing the safety, acceptability, and potential effectiveness of a longer sVT protocol (15 min per session) in children and adolescents with cerebral palsy (CP). Methods Fifteen participants aged 5.2–17.4 years (median = 12.4 years) with CP GMFCS level II underwent 20 weeks of sVT consisting of 15 min sessions 4 days/week. Participants were assessed at baseline and after the intervention period, including mobility (six-minute walk-test; 6MWT), body composition (whole-body dual-energy x-ray absorptiometry scans), and muscle function (force plate). Results Adherence level to the 15 min VT protocol was 83% on average. There were no adverse events reported. After 20 weeks, there was some evidence for an increase in the walking distance covered in 6MWT (+43 m; p = 0.0018) and spine bone mineral density (+0.032 g/cm2; p = 0.012) compared to baseline. Conclusions The 15 min sVT protocol is feasible and well tolerated. The results also suggest potential benefits of this protocol to mobility and bone health. Randomized controlled trials are needed to reliably ascertain the potential effectiveness of a longer sVT protocol on physical function and body composition in young people with CP.
Chest compression rates of 60/min versus 90/min during neonatal cardiopulmonary resuscitation: a randomized controlled animal trial

Background To compare chest compression (CC) rates of 60/min with 90/min and their effect on the time to return of spontaneous circulation (ROSC), survival, hemodynamic, and respiratory parameters. We hypothesized that asphyxiated newborn piglets that received CC at 60/min vs. 90/min during cardiopulmonary resuscitation would have a shorter time to ROSC. Methods Newborn piglets (n = 7/group) were anesthetized, tracheotomized and intubated, instrumented and exposed to 45 min normocapnic hypoxia followed by asphyxia and cardiac arrest. Piglets were randomly allocated to a CC rate of 60/min or 90/min. CC was performed using an automated CC machine using CC superimposed with sustained inflation. Hemodynamic parameters, respiratory parameters, and applied compression force were continuously measured. Results The mean (IQR) time to ROSC was 97 (65–149) s and 136 (88–395) s for CC rates of 60/min and 90/min, respectively (p = 0.31). The number of piglets that achieved ROSC was 5 (71%) and 5 (71%) with 60/min and 90/min CC rates, respectively (p = 1.00). Hemodynamic parameters (i.e., diastolic and mean blood pressure, carotid blood flow, stroke volume, end-diastolic volume, left ventricular contractile function) and respiratory parameters (i.e., minute ventilation, peak inflation and peak expiration flow) were all similar with a CC rate of 60/min compared to 90/min. Conclusion Time to ROSC, hemodynamic, and respiratory parameters were not significantly different between CC rates of 60/min vs. 90/min. Different CC rates during neonatal resuscitation warrant further investigation.
Application of nuclear medicine techniques in sports medicine

Introduction and purpose: To briefly introduce the reader to the application of nuclear medicine studies in the diagnosis and treatment of musculoskeletal disorders developed among athletes. Materials and methods: To prepare this review, publications indexed in the PubMed and Google Scholar databases were analyzed. Special attention was given to full-text articles published in English between 2015 and 2023, as well as to the references cited by the authors of selected publications. Description of the state of knowledge: Nuclear medicine is applied in the diagnosis and therapy of orthopedic conditions. Commonly used nuclear medicine techniques include planar bone scintigraphy (WBS), single-photon emission computed tomography (SPECT) combined with computed tomography (CT), and positron emission tomography (PET) combined with computed tomography (CT). Summary: The utilization of nuclear medicine techniques allows for proper diagnosis and early treatment of musculoskeletal disorders, including pathologies resulting from sports-related physical activity.
Calculation Method of Earth Pressure Considering Wall Displacement and Axial Stress Variations

Current earth pressure calculation methods suffer from certain limitations because they do not consider the effect of retaining wall displacement. In this study, the soil behind the wall is assumed to be in a plane strain state, and drawing upon nonlinear elastic constitutive theory, an earth pressure calculation method is proposed, capable of considering both axial stress and wall displacement. To account for changes in soil modulus with confining pressure, the tangent modulus from the Duncan-Chang nonlinear model is introduced. Depending on the direction of the principal stress behind the retaining wall, the static earth pressure point, the major principal stress inflection point, and the minor principal stress second inflection point are determined. The conditions for the existence of the second inflection point are also given. These specific points, together with the limit earth pressure point, divide the earth pressures acting on the wall into six regions. The study provides earth pressure calculation formulas for T (translation) mode, RBT (rotation about a point below the base) mode, and RTT (rotation about a point above the top) mode based on the characteristics of wall displacement distribution in each mode. The proposed method exhibits good agreement with the test results, offering an effective approach for accurately calculating earth pressures related to displacement.
Ocean bottom distributed acoustic sensing for T-wave detection and seismic ocean thermometry

14 A T -wave is a seismo-acoustic wave that can travel a long distance in the ocean with little 15 attenuation, making it valuable for monitoring remote tectonic activity and changes in ocean 16 temperature using seismic ocean thermometry (SOT). However, current high-quality T -wave 17 stations are sparsely distributed, limiting the detectability of oceanic seismicity and the spatial 18 resolution of global SOT. The use of ocean bottom distributed acoustic sensing (OBDAS), through 19 the conversion of telecommunication cables into dense seismic arrays, is a cost-effective and 20 scalable means to complement existing seismic stations. Here, we systematically investigate the 21 performance of OBDAS for oceanic seismicity detection and SOT using a 4-day Ocean 22 Observatories Initiative community experiment offshore Oregon. We first present T -wave 23 observations from distant and regional earthquakes and develop a curvelet denoising scheme to 24 enhance T -wave signals on OBDAS. After denoising, we show that OBDAS can detect and locate 25 more and smaller T -wave events than regional OBS network. During the 4-day experiment, we 26 detect 92 oceanic earthquakes, most of which are missing from existing catalogs. Leveraging the 27 sensor density and cable directionality, we demonstrate the feasibility of source azimuth estimation 28 for regional Blanco earthquakes. We also evaluate the SOT performance of OBDAS using pseudo-29 repeating earthquake T -waves. Our results show that OBDAS can utilize repeating earthquakes as 30 small as M3.5 for SOT, outperforming ocean bottom seismometers. However, ocean ambient 31 natural and instrumental noise strongly affects the performance of OBDAS for oceanic seismicity 32 detection and SOT, requiring further investigation.
Design of Tetra-Peptide Ligands of Antibody Fc Regions Using In Silico Combinatorial Library Screening

Peptides, or short chains of amino-acid residues, are becoming increasingly important as active ingredients of drugs and as crucial probes and/or tools in medical, biotechnological, and pharmaceutical research. Situated at the interface between small molecules and larger macromolecular systems, they pose a difficult challenge for computational methods. We report an in silico peptide library generation and prioritization workflow using CmDock for identifying tetrapeptide ligands that bind to Fc regions of antibodies that is analogous to known in vitro recombinant peptide libraries’ display and expression systems. The results of our in silico study are in accordance with existing scientific literature on in vitro peptides that bind to antibody Fc regions. In addition, we postulate an evolving in silico library design workflow that will help circumvent the combinatorial problem of in vitro comprehensive peptide libraries by focusing on peptide subunits that exhibit favorable interaction profiles in initial in silico peptide generation and testing.