Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid Intrusion Detection System Based on Combination of Random Forest and Autoencoder

To cope with the rising threats posed by network attacks, machine learning-based intrusion detection systems (IDSs) have been intensively researched. However, there are several issues that need to be addressed. It is difficult to deal with unknown attacks that do not appear in the training set, and as a result, poor detection rates are produced for these unknown attacks. Furthermore, IDSs suffer from high false positive rate. As different models learn data characteristics from different perspectives, in this work we propose a hybrid IDS which leverages both random forest (RF) and autoencoder (AE). The hybrid model operates in two steps. In particular, in the first step, we utilize the probability output of the RF classifier to determine whether a sample belongs to attack. The unknown attacks can be identified with the assistance of the probability output. In the second step, an additional AE is coupled to reduce the false positive rate. To simulate an unknown attack in experiments, we explicitly remove some samples belonging to one attack class from the training set. Compared with various baselines, our suggested technique demonstrates a high detection rate. Furthermore, the additional AE detection module decreases the false positive rate.
The radio nucleus of NGC 4151 at 5 and 8 GHz

We present 5- and 8-GHz observations of the Seyfert nucleus of NGC 4151. The observations have angular resolutions ranging from 400 to 50 mas and sensitivities as high as 7 μJy beam −1 . We confirm the picture of a two-sided radio jet along PA 77°, and also detect a weak component 6 arcsec (400 pc) to the east which shows that collimated ejecta associated with the jet extend at least twice as far as revealed by earlier measurements. The central knots in the jet have significantly higher pressure than components in the outer parts. Most of the components in the source have steep spectra, although that of the eastern component in the central double is relatively flat (α = −0.3), consistent with it being associated with the optical continuum nucleus
Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection

Malfunctions in the immune system cause multiple sclerosis (MS), which initiates mild to severe nerve damage. MS will disturb the signal communication between the brain and other body parts, and early diagnosis will help reduce the harshness of MS in humankind. Magnetic resonance imaging (MRI) supported MS detection is a standard clinical procedure in which the bio-image recorded with a chosen modality is considered to assess the severity of the disease. The proposed research aims to implement a convolutional neural network (CNN) supported scheme to detect MS lesions in the chosen brain MRI slices. The stages of this framework include (i) image collection and resizing, (ii) deep feature mining, (iii) hand-crafted feature mining, (iii) feature optimization with firefly algorithm, and (iv) serial feature integration and classification. In this work, five-fold cross-validation is executed, and the final result is considered for the assessment. The brain MRI slices with/without the skull section are examined separately, presenting the attained results. The experimental outcome of this study confirms that the VGG16 with random forest (RF) classifier offered a classification accuracy of >98% MRI with skull, and VGG16 with K-nearest neighbor (KNN) provided an accuracy of >98% without the skull.
Effects of nonperfect thermal sources in turbulent thermal convection

The effects of the plates thermal properties on the heat transfer in turbulent thermal convection are investigated by direct numerical simulations of the Navier–Stokes equations with the Boussinesq approximation. It has been found that the governing parameter is the ratio of the thermal resistances of the fluid layer Rf and the plates Rp; when this ratio is smaller than a threshold value (Rf/Rp≈300 arbitrarily defined by requiring that the actual heat transfer differs by less than 2% from its ideal value), the finite conductivity of the plates limits the heat transfer in the cell. In addition, since Rf decreases for increasing Rayleigh numbers, any experimental apparatus is characterized by a threshold Rayleigh number that cannot be exceeded if the heat transfer in the cell has not to be influenced by the thermal properties of the plates. It has been also shown that the plate effects cannot be totally corrected by subtracting the temperature drop occurring within the plates from the measured total tempera.
Case report: A case of abrupt stroke as the first symptom of neurobrucellosis

Acute cerebral infarction caused by small artery inflammatory disease, which is triggered by neurobrucellosis, is a rare condition that can be easily misdiagnosed. Neurobrucellosis is a rare complication of brucellosis that can present clinically as meningitis, meningoencephalitis, myelitis, neuritis, or psychosis. In this study, we report the case of a patient with neurobrucellosis who was hospitalized in the First People's Hospital of Lianyungang in September 2022; the primary symptom was weakness in the left limb for 14 h. The patient was discharged after receiving symptomatic and anti-Brucella medication.
Predicting and evaluating pain after surgery…Newer methods to the rescue?

© 2023 Indian Journal of Anaesthesia | Published by Wolters Kluwer Medknow Managing post-surgical pain (PSP) is an integral part of anaesthesia practice; however, inspite of significant advancements in peri-operative medicine and the introduction of evidence-based recommendations for PSP management, existing data suggest that it is sub-optimally managed. [1-3] The clinical prevalence of acute PSP is as high as 80%, and one to 2/3 patients suffer moderate to severe pain. This hampers early recovery, lengthens hospital stay, increases opioid consumption, and leads to persistent post-surgical pain (PPSP). [3] PPSP is observed in 5–60% post-surgical patients irrespective of the type of surgery and can be of sufficient severity to affect the quality of life. [4] Also, as mentioned in a previous editorial of the Indian Journal of Anaesthesia (IJA), the pain management practices in our country are diverse. [5] All this leaves one wondering as to whether the current peri-operative pain management practices in our country are optimal. Are we really able to accurately evaluate post-surgical pain? How far have we been successful in predicting post-operative pain? Currently, risk prediction models including biomarkers are in the cyanosure of researchers and clinicians. [6] In this era of big data, events can be predicted. Can the same be performed successfully in pain practice?
Performance of APSIM to Simulate the Dynamics of Winter Wheat Growth, Phenology, and Nitrogen Uptake from Early Growth Stages to Maturity in Northern Europe

Performance of the APSIM (Agricultural Production Systems sIMulator) wheat model was assessed to simulate winter wheat phenology, biomass, grain yield, and nitrogen (N) uptake for its potential to optimize fertilizer applications for optimal crop growth and minimal environmental degradation. The calibration and evaluation dataset had 144 and 72 different field growing conditions (location (~7) × year (~5) × sowing date (2) × N treatment (7–13)), respectively, and included seven cultivars. APSIM simulated phenological stages satisfactorily with both model calibration and evaluation data sets with r2 of 0.97 and RMSE of 3.98–4.15 BBCH (BASF, Bayer, Ciba-Geigy, and Hoechst) scale. Simulations for biomass accumulation and N uptake during early growth stages (BBCH 28–49) were also reasonable with r2 of 0.65 and RMSE of 1510 kg ha−1, and r2 of 0.64–0.66 and RMSE of 28–39 kg N ha−1, respectively, with a higher accuracy during booting (BBCH 45–47). Overestimation of N uptake during stem elongation (BBCH 32–39) was attributed to (1) high inter-annual variability in simulations, and (2) high sensitivity of parameters regulating N uptake from soil. Calibration accuracy of grain yield and grain N was higher than that of biomass and N uptake at the early growth stages. APSIM wheat model showed high potential for optimizing fertilizer management in winter wheat cultivation in Northern Europe.
System reliability using binomial failure rate

A method is presented for calculating the reliability of a computer system subject to common-cause failures described by the binomial failure rate model. This model takes into account three types of shocks; shocks causing individual components to fail and common-cause shocks of both a nonfatal and a fatal type. The probability that all the components of each subsystem are good is computed. The system reliability is then obtained by simple substitution of these probabilities for the respective counterparts of the system reliability computed under the assumption of statistically independent components. An example demonstrating how to use the method is given. <<ETX>>
OCCURRENCE OF CONGENITAL TROPICAL THEILERIOSIS ASSOCIATED WITH OXIDATIVE STRESS AND ANTIOXIDANT RESPONSE IN CROSSBREED NEW BORN CALVES IN NEW VALLEY GOVERNORATE. EGYPT.

In this study the occurrence of intrauterine transmission pathway of theileria spp from infected cows to its offspring was evaluated and the oxidative stress of theileria infection on new born calves and its body reaction by antioxidant response was determined. Twenty pregnant cows at the last trimester stage of pregnancy and its offspring from some localities in New-Valley Governorate and suffering from theileriosis(different degree of parasitemia) by clinically and laboratory (blood smears and PCR test) examine . Examination of 18 living new born calves where the rest number of newborn calves(two calves) dead during parturition, revealed 7(38.88%) calves only were positive by direct smear and indicated massive parasitemia but by PCR test revealed 14 out of 18(77.77%) new born calves were positive. The mean value of hematological parameters indicated significant decrease in TRBCs count, HB content, PCV (%), MCV (f l), MCH (p g/dl) and MCHC (g/dl) and significant increase in TWBCs count in comparison to control healthy calves, while evaluation of oxidative stress which revealed significantly increased in both parameters (MDA and PCs) by (P < 0.001), and no significant change in catalase enzyme and significant decrease in glutathione enzyme in comparison to healthy control group. Thereby from the results we can see the neonate calf acquired theileria annulata infection from her infected and/or immune carrier mother during gestation period and affected newborn calves develop clinical signs either soon after birth or during neonate life, lipid peroxidation is one of the important consequences of oxidative stress.
Location and Complex Status Update Strategy Optimization in UAV-Assisted IoT

Complex status updates have attracted widespread attention in real-time monitoring services (e.g., real-time fire gas monitoring and wildfire spread prediction). In complex status updates, the status information needs to be obtained by processing the perceived original data. However, as lightweight terminals, temporarily deployed Internet of Things (IoT) devices have no computing modules. Unmanned aerial vehicle (UAV) can act as a edge server to help IoT devices complete computing tasks by mobile-edge computing (MEC). To this end, this article considers a complex status update in UAV-assisted IoT, where an UAV moves in hovering-flight-hovering mode to ensure that it can serve IoT devices in different areas. When the UAV hovers, it obtains the status information based on the original data transmitted by the IoT device and sends it to the control center. During the complex status update, the short packet communication and time-varying channel are considered. To realize the tradeoff optimization of the average Age of Information (AoI) and average power consumption of both IoT device and UAV within a long time, we formulate a location and dynamic status update strategy optimization problem for UAV hovering-flight-hovering mode. In order to solve the problem with Markov properties, we derive the state probability equations and further establish the linear programming problem with fixed UAV location. Then, we propose a probability-based algorithm to obtain UAV location and dynamic status update strategy. To adapt to more urgent scenarios, we propose an AoI threshold-based strategy to reduce the complexity of the problem. State probability equations are derived under the strategy and a linear programming problem with a fixed AoI threshold is established. Next, we propose a low-complexity algorithm to obtain the optimal AoI threshold. Simulation results show that the proposed algorithms can optimize the three performance metrics in a balanced way and we need to select the appropriate transmit power of the IoT device and the computing capacity of the UAV to achieve better performance.
Distribution-Free Confidence Intervals for Quantile Intervals

Abstract Wilks [6] introduced distribution-free confidence intervals based on order statistics for quantile intervals. For the rth and sth order statistics in a sample of size n (1 ≤ r < s ≤ n), upper and lower bounds and an exact expression for the confidence coefficient are derived. Numerical examples comparing the bounds and the exact solution are provided. A connection with distribution-free tolerance intervals is indicated.
A Single DC Source Gradient Driver Circuit With Boosting Output Capability for MRI Applications

Magnetic resonance imaging (MRI) systems gradient driver (GD) circuits, which drive current through gradient coils, have essential roles in imaging quality and speed. They drive large current values, higher than 1000 A, with high fidelity to the commands, low current ripples, and fast transient responses, which lead to high voltage values, larger than 2 kV, to properly drive the coils. Till now, some solutions with parallel and stacked structures have been reported to fulfill such requirements, which need several independent isolated voltages to deliver the necessary output current. Thus, other parts are generally needed to generate these voltages, separately. In this article, a new GD circuit with only a single independent voltage source and output voltage boosting capability is proposed to drive such gradient coils. It reduces the semiconductor and magnetic element counts, in the MRI gradient driver power chain. It also reduces the pulsed power demand from the facility, by storing energy. The proposed circuit has been mathematically analyzed, here. A 2.34 MVA,1300 A/1800 V GD circuit has been designed and simulated based on the proposed topology to verify its performance. Finally, a laboratory 700 V, 10 A scaled-down prototype converter has been implemented, based on the proposed topology to verify the given analyses and simulation results.
Evidence for an inner scale to the density turbulence in the interstellar medium

The form of the density power spectrum is studied. The relationship between the visibility and the properties of density turbulence is discussed. Observational determinations of the power-law index of the interstellar density power spectrum are presented. An inner scale is derived, and the effect of an inner scale in the interstellar plasma turbulence is examined. It is concluded that the host plasma for the density irregularities must be similar to the warm ionized medium in the Mckee-Ostriker model (1979) of the interstellar medium or the low-density envelopes of H II regions. 32 refs.
Gender Differences in Creative Perceptions of Undergraduate Students

This study investigated the difference between gender-role identity and creativity of students at Malaysian Universities. The respondents were 153 undergraduate Iranian students (48 females, 105 males; aged 19 to 27 years) in Malaysia Universities. All students were given a Khatena-Torrance Creative Perception Inventory Test (KTCPI). The instrument comprised two subscales, namely, Something About Myself (SAM) and What Kind of Person Are You (WKOPAY)? Each subscale had fifty items. The results revealed no significant difference between female and male students` overall creative perception. Further examination revealed that male students score higher in the WKOPAY subscale (t = 2.578, p = 0.011), while females scored higher than males in the initiative factor (t = 3.566, p = 0.000) and males scored higher than females in the environmental sensitivity factor (t = -2.216, p = 0.028) in the SAM subscale. Further replications on similar samples are needed.
Pregnancy Outcomes of Freeze-All versus Fresh Embryo Transfer in Women with Adenomyosis: A Retrospective Study

Adenomyosis has been associated with adverse fertility and pregnancy outcomes, and its impact on the outcomes of in vitro fertilization (IVF) has received much attention. It is controversial whether the freeze-all strategy is better than fresh embryo transfer (ET) in women with adenomyosis. Women with adenomyosis were enrolled in this retrospective study from January 2018 to December 2021 and were divided into two groups: freeze-all (n = 98) and fresh ET (n = 91). Data analysis showed that freeze-all ET was associated with a lower rate of premature rupture of membranes (PROM) compared with fresh ET (1.0% vs. 6.6%, p = 0.042; adjusted OR 0.17 (0.01–2.50), p = 0.194). Freeze-all ET also had a lower risk of low birth weight compared with fresh ET (1.1% vs. 7.0%, p = 0.049; adjusted OR 0.54 (0.04–7.47), p = 0.642). There was a nonsignificant trend toward a lower miscarriage rate in freeze-all ET (8.9% vs. 11.6%; p = 0.549). The live birth rate was comparable in the two groups (19.1% vs. 27.1%; p = 0.212). The freeze-all ET strategy does not improve pregnancy outcomes for all patients with adenomyosis and may be more appropriate for certain patients. Further large-scale prospective studies are needed to confirm this result.
Fatty Acid Indices and the Nutritional Properties of Karakul Sheep Meat

This study aimed to evaluate the fatty acid profile and health lipid indices of sheep meat (from 52 Karakul sheep from NE Romania). The effect of age at slaughter and the influence of muscle region were studied for nutritional parameters, especially the fatty acids from lipid fractions. Based on the fatty acid profiles and lipid contents, the sanogenic indices were determined for two sheep muscle groups. Thus, two different muscle regions from lamb and adult sheep were analysed from both genders, the Longissimus dorsi and Triceps brachii, to argue the advantages of each category and the rationalization, in terms of meat consumption, regarding their impact on human health. Sheep meat has many components with beneficial effects on human health. Apart from the fact that it is an important source of nutrients due to its high content of proteins, lipids, and minerals, it is also a product that can provide fundamental bioactive compounds for maintaining metabolic functions. The qualitative indices assessment revealed that lambs have meat with high PUFA content on Longissimus dorsi muscles (approx. 25% of total fatty acids), 0.68 for PUFA/SFA, with highest values for n-3 (approx. 8%) and n-6 (approx. 14%). Appropriate values can also be observed in Triceps brachii muscles from adult sheep. The sanogenic indices also presented good values for Longissimus dorsi from lambs and Triceps brachii from adult sheep (polyunsaturation index = 7.2–10.2; atherogenic index = 0.56–0.67; thrombogenic index = 0.78–0.96; hypocholesterolemic/hypercholesterolemic index = 2.4–2.7 (for Longissimus dorsi)).
Construction of Two Independent RAB Family-Based Scoring Systems Based on Machine Learning Algorithms and Definition of RAB13 as a Novel Therapeutic Target for Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) remains a global health challenge with a low early diagnosis rate and high mortality. The Rab GTPase (RAB) family plays an essential role in the occurrence and progression of HCC. Nonetheless, a comprehensive and systematic investigation of the RAB family has yet to be performed in HCC. We comprehensively assessed the expression landscape and prognostic significance of the RAB family in HCC and systematically correlated these RAB family genes with tumor microenvironment (TME) characteristics. Then, three RAB subtypes with distinct TME characteristics were determined. Using a machine learning algorithm, we further established a RAB score to quantify TME features and immune responses of individual tumors. Moreover, to better evaluate patient prognosis, we established a RAB risk score as an independent prognostic factor for patients with HCC. The risk models were validated in independent HCC cohorts and distinct HCC subgroups, and their complementary advantages guided clinical practice. Furthermore, we further confirmed that the knockdown of RAB13, a pivotal gene in risk models, suppressed HCC cell proliferation and metastasis by inhibiting the PI3K/AKT signaling pathway, CDK1/CDK4 expression, and epithelial-mesenchymal transition. In addition, RAB13 inhibited the activation of JAK2/STAT3 signaling and the expression of IRF1/IRF4. More importantly, we confirmed that RAB13 knockdown enhanced GPX4-dependent ferroptosis vulnerability, highlighting RAB13 as a potential therapeutic target. Overall, this work revealed that the RAB family played an integral role in forming HCC heterogeneity and complexity. RAB family-based integrative analysis contributed to enhancing our understanding of the TME and guided more effective immunotherapy and prognostic evaluation.
Performance Evaluation of Modern Time-Series Database Technologies for the ATLAS Operational Monitoring Data Archiving Service

The trigger and data acquisition (TDQA) system of a toroidal large hadron collider (LHC) apparatus (ATLAS) experiment at the LHC at CERN is composed of a large number of distributed hardware and software components, which provide the data-taking functionality of the overall system. During data-taking, huge amounts of operational data are created in order to constantly monitor the system. The persistent back end for the ATLAS information system of TDAQ (P-BEAST) is a system based on a custom-built time-series database. It archives any operational monitoring data published online, resulting in about 18 terabyte (TB) of highly compacted and compressed raw data per year. P-BEAST provides command line and programming interfaces for data insertion and retrieval, including integration with the Grafana platform. Since P-BEAST was developed, several promising database technologies for efficiently working with time-series data have been made available. A study to evaluate the possible use of these recent database technologies in the P-BEAST system was performed. First, the most promising technologies were selected. Then, their performance was evaluated. The evaluation strategy was based on both synthetic read and write tests and on realistic read patterns (e.g., providing data to a set of Grafana dashboards currently used to monitor ATLAS). All the tests were executed using a subset of ATLAS operational monitoring data, archived during the LHC Run II. The details of the testing procedure and of the testing results, including a comparison with the current P-BEAST service, are presented.