Miracle-dz/UniFAR-FTUs huggingface dataset:
Real-Time Anomaly Detection of Network Traffic Based on CNN

Network traffic anomaly detection mainly detects and analyzes abnormal traffic by extracting the statistical features of network traffic. It is necessary to fully understand the concept of symmetry in anomaly detection and anomaly mitigation. However, the original information on network traffic is easily lost, and the adjustment of dynamic network configuration becomes gradually complicated. To solve this problem, we designed and realized a new online anomaly detection system based on software defined networks. The system uses the convolutional neural network to directly extract the original features of the network flow for analysis, which can realize online real- time packet extraction and detection. It utilizes SDN to flexibly adapt to changes in the network, allowing for a zero-configuration anomaly detection system. The packet filter of the anomaly detection system is used to automatically implement mitigation strategies to achieve online real-time mitigation of abnormal traffic. The experimental results show that the proposed method is more accurate and can warn the network manager in time that security measures can be taken, which fully demonstrates that the method can effectively detect abnormal traffic problems and improve the security performance of edge clustering networks.
Imaging skins: stretchable and conformable on-organ beta particle detectors for radioguided surgery

While radioguided surgery (RGS) traditionally relied on detecting gamma rays, direct detection of beta particles could facilitate the detection of tumour margins intraoperatively by reducing radiation noise emanating from distant organs, thereby improving the signal-to-noise ratio of the imaging technique. In addition, most existing beta detectors do not offer surface sensing or imaging capabilities. Therefore, we explore the concept of a stretchable scintillator to detect beta-particles emitting radiotracers that would be directly deployed on the targeted organ. Such detectors, which we refer to as imaging skins, would work as indirect radiation detectors made of light-emitting agents and biocompatible stretchable material. Our vision is to detect scintillation using standard endoscopes routinely employed in minimally invasive surgery. Moreover, surgical robotic systems would ideally be used to apply the imaging skins, allowing for precise control of each component, thereby improving positioning and task repeatability. While still in the exploratory stages, this innovative approach has the potential to improve the detection of tumour margins during RGS by enabling real-time imaging, ultimately improving surgical outcomes.
Novel macrolide-lincosamide-streptogramin B resistance gene erm(56) in Trueperella pyogenes

ABSTRACT Whole-genome sequence analysis of a macrolide, lincosamide, streptogramin B (MLSB)-resistant Trueperella pyogenes from a dog revealed a new 23S ribosomal RNA methylase gene erm(56). Expression of the cloned erm(56) confers resistance to MLSB in T. pyogenes and Escherichia coli. The erm(56) gene was flanked by two IS6100 integrated on the chromosome next to a sul1-containing class 1 integron. GenBank query revealed additional erm(56)-containing elements in another T. pyogenes and in Rothia nasimurium from livestock. IMPORTANCE A novel 23S ribosomal RNA methylase gene erm(56) flanked by insertion sequence IS6100 was identified in a Trueperella pyogenes isolated from the abscess of a dog and was also present in another T. pyogenes and in Rothia nasimurium from livestock. It was shown to confer resistance to macrolide, lincosamide, streptogramin B antibiotics in T. pyogenes and E. coli, indicating functionality in both Gram-positive and Gram-negative bacteria. The detection of erm(56) on different elements in unrelated bacteria from different animal sources and geographical origins suggests that it has been independently acquired and likely selected by the use of antibiotics in animals. A novel 23S ribosomal RNA methylase gene erm(56) flanked by insertion sequence IS6100 was identified in a Trueperella pyogenes isolated from the abscess of a dog and was also present in another T. pyogenes and in Rothia nasimurium from livestock. It was shown to confer resistance to macrolide, lincosamide, streptogramin B antibiotics in T. pyogenes and E. coli, indicating functionality in both Gram-positive and Gram-negative bacteria. The detection of erm(56) on different elements in unrelated bacteria from different animal sources and geographical origins suggests that it has been independently acquired and likely selected by the use of antibiotics in animals.
Sub-millisecond 4D X-ray tomography achieved with a multibeam X-ray imaging system

A proof-of-concept experiment for sub-millisecond temporal and 10 μm order spatial resolution 4D X-ray tomography imaging using a multibeam X-ray imaging system is reported. The 3D structure of a tungsten wire during mechanical deformation was reconstructed using a super-compressed sensing-based algorithm from 28 projection images acquired simultaneously with a temporal resolution of 0.5 ms. The multibeam imaging system does not require rotation of the sample, X-ray source or detector. The experiment demonstrates the potential for improving the time resolution in observing non-repeatable dynamic phenomena, such as those occurring in fluids, living beings, or material fractures.
Evaluation of in vitro immunostimulatory and cytotoxic effects of recombinant survivin protein in combination with doxorubicin and breast cancer antigen-loaded polycaprolactone nanoparticles

In this study, the immunostimulatory and anticancer activities of the doxorubicin (DOX), MCF-7 and MDA-MB-231 breast cancer antigen-loaded polycaprolactone (PCL) nanoparticles (NPs) in combination with survivin recombinant protein (RP) and an alum adjuvant are evaluated in vitro on J774 macrophage, MCF-7 and MDA-MB-231 breast cancer cell lines. A double-emulsion solvent evaporation method was used for encapsulation of DOX and antigens into PCL NPs. The physicochemical characterization of NPs included size, morphology, zeta potential, release profiles and encapsulation efficiencies, analyzed using scanning electron microscopy, a zeta-sizer and UV–vis spectrometry. The cytotoxic and inhibitory effects of NPs were determined using a methyl thiazolyl tetrazolium assay. Immunostimulatory effects of the NPs were detected by Griess reaction and ELISA tests to determine nitric oxide and cytokine levels, respectively. According to the results, DOX and antigen-loaded PCL NPs ranged between 240 nm and 290 nm. Antigen and drug-loaded NPs appear less toxic over macrophage cells in comparison with non-capsulated free agents. In addition, considerable inhibitory effects of antigen and drug-loaded NPs were observed at non-toxic concentrations, such as 25 and 50 μg ml−1, on human mammary cancer cell lines (p⩽ 0.0001). The amount of nitrite released from macrophages that were treated with antigen and DOX-encapsulated PCL NPs, in combination with alum and survivin RP, after 96 h incubation was significantly higher than the control, especially at 50 and 100 μg ml−1, and triggered macrophages to produce high quantities of IL-4 and IL-12 cytokines in contrast to the control. As a result, DOX and antigen-loaded PCL NPs in combination with survivin and alum adjuvant revealed significant immunostimulatory and inhibiting influence on macrophage and breast cancer cells, respectively. The outcomes revealed that antigen and drug-loaded PCL NPs supplemented with survivin RP and an alum adjuvant created an effective platform for the development of nanotechnology-based immunotherapeutic tools to inhibit breast cancer cells. However, these outputs should be supported by further in vivo studies.
Modelling the relative risk of plastic pollution to wildlife when data are scarce: an applied approach in the Mekong and Ganges river basins

Plastic pollution of aquatic ecosystems is a growing environmental problem. Most plastic pollution originates from land-based sources and is transported via rivers, where plastic densities can exceed those at sea. Rivers in southeast Asia are regularly identified among those transporting the greatest plastic loads globally, yet are among the least studied major river systems. This is particularly concerning since they provide habitat for commercially, culturally and ecologically important species. We present a four-step risk framework to assess the relative risk to wildlife at different sections of a river, particularly where data may be sparse. We apply this method to a case study in the Ganges and Mekong rivers. The first step is to estimate litter density and abandoned fishing gear (ALDFG) to determine the relative level of pressure from ingestion or entanglement. Step two uses a risk assessment to determine the likelihood of a species interacting with a given item, and the further likelihood of a negative outcome of that encounter. Step three determines the overlap of the habitat of the species with the litter present in the environment, and the final step integrates all of these factors to present an overall relative risk to migratory species within each watershed. In the Ganges and Mekong rivers, entanglement represents the highest risk to species. The methods presented here estimate the relative risk to vertebrate fauna from litter interactions in rivers where empirical data are not available, aiming to determine (i) where in each river do we expect to find the most plastic and ALDFG and (ii) whether species suspected to be threatened by plastic pollution overlap with these predicted high-risk regions. This approach will aid decision-makers to make informed precautionary assessments bridging data gaps about relative plastic loads and associated risks in aquatic systems, until empirical data becomes available.
HELICOBACTER SCREENING OF GRAND CAYMAN BLUE IGUANA (CYCLURA LEWISI) AND NORTH ANTILLEAN SLIDER (TRACHEMYS DECUSSATA ANGUSTA) ON GRAND CAYMAN, CAYMAN ISLANDS

Abstract: The endemic Grand Cayman or blue iguana (Cyclura lewisi) is endangered. Beginning in 2015 significant morbidity and mortality occurred in captive and wild blue iguanas within Grand Cayman's Queen Elizabeth II Botanic Park (QEIIBP). Investigation identified a novel Helicobacter sp. , provisionally named Helicobacter sp. Grand Cayman Blue Iguana 1 (GCBI1), as the cause. Invasive green iguanas (Iguana iguana) are believed to play a role in GCBI1 transmission to the blue iguana; however, the origin and transmission pathways have not been determined. To assess the likelihood of blue iguanas asymptomatically harboring GCBI1, in May 2022 population-level screening of captive blue iguanas at QEIIBP was conducted on half (n = 102) of the captive blue iguana population (n = 201) including half of each age class. Helicobacter sp. GCBI1 is closely related to a chelonian Helicobacter sp. and 10 sympatric wild north Antillean sliders (Trachemys decussata angusta) were sampled in October 2019. Combined choana/cloacal swabs were screened by a GCBI1-specific quantitative polymerase chain reaction (qPCR) assay. All samples were negative, suggesting that GCBI1 is not present asymptomatically in the captive blue iguana population or in north Antillean sliders. These results provide support for the hypothesis that GCBI1 is periodically introduced to captive and wild blue iguanas from another species or source.
The Family Lagrioididae Abdullah & Abdullah, stat. nov. (Coleoptera: Tenebrionoidea), with Descriptions of Two New Australian Species

Abstract. Relationships of the anthicid subfamily Lagrioidinae are discussed in detail and evidence presented supporting treatment of this group as a distinct family, Lagrioididae, stat. nov., of Tenebrionoidea, unrelated to the family Anthicidae. Lagrioida rufula Fairmaire & Germain, 1860 is designated as the type species of Lagrioida Fairmaire & Germain, 1860. Two new Australian species, L. norfolkensis Lawrence & Ślipiński sp. nov. (Norfolk Island) and L. tasmaniae Lawrence & Ślipiński sp. nov. (Tasmania and Victoria) are described and illustrated. All remaining species are redescribed and key to the species is provided.
Augmented Visibility Graph Analysis Mixed-directionality graph structure for analysing architectural space

This paper introduces a new spatial analysis methodology based on visibility graphs. Through various design elements architects can create configurations where our visual field and the relations of spaces can be challenged in a combinatorial game beyond the easily accessible and understandable boundaries of the environment. This research explores the trans-spatial architectural elements, transparencies and projected realities that playfully challenge visibility, permeability and accessibility in built environment. The paper presents the computational problem of analysing spaces that include 'augmented visibilities' and areas with 'inaccessible but visible' locations, where dislocated multi-dimensional overlaps frequently occur. Furthermore, proposes a new 'mixed-directionality graph structure' and the definition of 'Augmented Visibility Graph Analysis' (AVGA) as a new spatial analysis methodology. AVGA overcomes limitations of current visibility graph analysis theories and allows the analysis of architectural and urban space that includes visuo-spatial overlaps, hybrid configurations and multi-dimensional information. Finally, a series of mathematical graph analysis measures and test cases associated with observations and experimental data from real spaces is presented in order to demonstrate AVGA.
COMPARISON OF KETAMINE–MIDAZOLAM AND KETAMINE–MIDAZOLAM–BUTORPHANOL PREMEDICATION PRIOR TO SEVOFLURANE ANESTHESIA IN WOODCHUCKS (MARMOTA MONAX)

Abstract: Cardiovascular disease is a frequent cause of death in the critically endangered Vancouver Island marmots (Marmota vancouverensis). This warrants the use of anesthetic protocols with minimal cardiovascular adverse effects. In this study, 12 adult male woodchucks (Marmota monax) were used as models for Vancouver Island marmots. The objective was to compare the physiological effects of two premedication protocols during induction and maintenance of anesthesia with sevoflurane. The two premedications were ketamine 10 mg/kg and midazolam 0.5 mg/kg (KM) or ketamine 10 mg/kg, midazolam 0.5 mg/kg, and butorphanol 1.0 mg/kg (KMB), administered intramuscularly prior to mask induction. Each marmot underwent three anesthetic events and protocols were assigned using a blinded randomized crossover design. Heart rate, respiratory rate, oxygen saturation, and body temperature were recorded throughout, and blood gases were assessed following induction. Resistance to induction was scored and time to induction was recorded. Although mask induction with sevoflurane was successful in all events (mean induction time of 2.1 min), KMB premedication resulted in a faster induction (mean induction time reduced by 1.2 ± 0.3 min) and lower resistance scores. Both protocols resulted in significant cardiovascular and respiratory depression; however, animals that received KMB were more hypercapnic than KM by 8.8 ± 2.8 mm Hg (P = 0.03) (mean venous partial pressure of carbon dioxide [PvCO2] for all: 79.9 mm Hg). In conclusion, if shorter induction times are desired, KMB premedication is preferred. However, cardiorespiratory variables including blood pressure should be monitored, and endotracheal intubation is recommended to allow for ETCO2 monitoring and provision of intermittent positive pressure ventilation.
Ultrafast dynamics in quantum matter at SwissFEL: capabilities of Furka endstation

Time-resolved spectroscopies have provided insights in the quest for understanding the fundamental properties of quantum materials and towards controlling their functional properties through light-matter interaction. In this regard, Free Electrons Lasers (FELs) have developed as a powerful tool to perform ultrafast x-ray spectroscopy to obtain energy and momentum-resolved information. In this contribution, we introduce the SwissFEL soft-x-ray condensed matter experimental endstation, named Furka, which is dedicated to Time-Resolved X-ray Absorption (TR-XAS), resonant X-Ray Diffraction (TR-RXRD) and Resonant Inelastic x-ray Scattering (TR-RIXS) experiments to study quantum materials. The current status of the endstation and the first results from the commissioning phase will also be discussed.
Resistance training prescription for muscle strength and hypertrophy in healthy adults: a systematic review and Bayesian network meta-analysis

Objective To determine how distinct combinations of resistance training prescription (RTx) variables (load, sets and frequency) affect muscle strength and hypertrophy. Data sources MEDLINE, Embase, Emcare, SPORTDiscus, CINAHL, and Web of Science were searched until February 2022. Eligibility criteria Randomised trials that included healthy adults, compared at least 2 predefined conditions (non-exercise control (CTRL) and 12 RTx, differentiated by load, sets and/or weekly frequency), and reported muscle strength and/or hypertrophy were included. Analyses Systematic review and Bayesian network meta-analysis methodology was used to compare RTxs and CTRL. Surface under the cumulative ranking curve values were used to rank conditions. Confidence was assessed with threshold analysis. Results The strength network included 178 studies (n=5097; women=45%). The hypertrophy network included 119 studies (n=3364; women=47%). All RTxs were superior to CTRL for muscle strength and hypertrophy. Higher-load (>80% of single repetition maximum) prescriptions maximised strength gains, and all prescriptions comparably promoted muscle hypertrophy. While the calculated effects of many prescriptions were similar, higher-load, multiset, thrice-weekly training (standardised mean difference (95% credible interval); 1.60 (1.38 to 1.82) vs CTRL) was the highest-ranked RTx for strength, and higher-load, multiset, twice-weekly training (0.66 (0.47 to 0.85) vs CTRL) was the highest-ranked RTx for hypertrophy. Threshold analysis demonstrated these results were extremely robust. Conclusion All RTx promoted strength and hypertrophy compared with no exercise. The highest-ranked prescriptions for strength involved higher loads, whereas the highest-ranked prescriptions for hypertrophy included multiple sets. PROSPERO registration number CRD42021259663 and CRD42021258902.
Heart is deceitful above all things: Threat expectancy induces the illusory perception of increased heartrate

The perception of the internal milieu is thought to reflect beliefs and prior knowledge about the expected state of the body, rather than only actual interoceptive states. This study investigated whether heartbeat perception could be illusorily distorted towards prior subjective beliefs, such that threat expectations suffice to induce a false perception of increased heartbeat frequency. Participants were instructed to focus on their cardiac activity and report their heartbeat, either tapping along to it (Experiment 1) or silently counting (Experiment 2) while ECG was recorded. While completing this task, different cues provided valid predictive information about the intensity of an upcoming cutaneous stimulation (high- vs. low- pain). Results showed that participants expected a heart rate increase over the anticipation of high- vs. low-pain stimuli and that this belief was perceptually instantiated, as shown by their interoceptive reports. Importantly, the perceived increase was not mirrored by the real heart rate. Perceptual modulations were absent when participants executed the same task but with an exteroceptive stimulus (Experiment 3). The findings reveal, for the first time, an interoceptive illusion of increased heartbeats elicited by threat expectancy and shed new light on interoceptive processes through the lenses of Bayesian predictive processes, providing tantalizing insights into how such illusory phenomena may intersect with the recognition and regulation of people’s internal states.
Selective consistency of recurrent neural networks induced by plasticity as a mechanism of unsupervised perceptual learning

Understanding the mechanism by which the brain overcomes its inherent inconsistency in activity to achieve consistent information processing is one of the major challenges in neuroscience. Recently, it has been reported that the consistency of neural responses to stimuli that are presented repeatedly is enhanced implicitly in an unsupervised way, and results in improved perceptual consistency. Here, we propose the term "selective consistency" to describe this input-dependent consistency and hypothesize that it will be acquired in a self-organizing manner by plasticity within the neural system. To test this, we investigated whether a reservoir-based plastic model could acquire selective consistency to repeated stimuli. We used white noise sequences randomly generated in each trial and referenced white noise sequences presented multiple times. The results showed that the plastic network was capable of acquiring selective consistency rapidly, with as little as five exposures to stimuli, even for white noise. The acquisition of selective consistency could occur independently of performance optimization, as the network’s time-series prediction accuracy for referenced stimuli did not improve with repeated exposure and optimization. Furthermore, the network could only achieve selective consistency when in the region between order and chaos. These findings suggest that the neural system can acquire selective consistency in a self-organizing manner and that this may serve as a mechanism for certain types of learning.
Identification and distribution of novel candidate T6SS effectors encoded in Salmonella Pathogenicity island 6

The type VI secretion system (T6SS) is a contact-dependent contractile multiprotein apparatus widely distributed in Gram-negative bacteria. These systems can deliver different effector proteins into target bacterial and/or eukaryotic cells, contributing to the environmental fitness and virulence of many bacterial pathogens. Salmonella harbors five different T6SSs encoded in different genomic islands. The T6SS encoded in Salmonella Pathogenicity Island 6 (SPI-6) contributes to Salmonella competition with the host microbiota and its interaction with infected host cells. Despite its relevance, information regarding the total number of effector proteins encoded within SPI-6 and its distribution among different Salmonella enterica serotypes is limited. In this work, we performed bioinformatic and comparative genomics analyses of the SPI-6 T6SS gene cluster to expand our knowledge regarding the T6SS effector repertoire and the global distribution of these effectors in Salmonella. The analysis of a curated dataset of 60 Salmonella enterica genomes from the Secret6 database revealed the presence of 23 novel putative T6SS effector/immunity protein (E/I) modules. These effectors were concentrated in the variable regions 1 to 3 (VR1-3) of the SPI-6 T6SS gene cluster. VR1-2 were enriched in candidate effectors with predicted peptidoglycan hydrolase activity, while VR3 was enriched in candidate effectors of the Rhs family with C-terminal extensions with predicted DNase, RNase, deaminase, or ADP-ribosyltransferase activity. A global analysis of known and candidate effector proteins in Salmonella enterica genomes from the NCBI database revealed that T6SS effector proteins are differentially distributed among Salmonella serotypes. While some effectors are present in over 200 serotypes, others are found in less than a dozen. A hierarchical clustering analysis identified Salmonella serotypes with distinct profiles of T6SS effectors and candidate effectors, highlighting the diversity of T6SS effector repertoires in Salmonella enterica. The existence of different repertoires of effector proteins suggests that different effector protein combinations may have a differential impact on the environmental fitness and pathogenic potential of these strains.