Miracle-dz/UniFAR-FTUs huggingface dataset:
Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

In this article, the event‐triggered‐based adaptive finite‐time secure control problem is considered for nonlinear cyber‐physical systems (CPSs) in the presence of unknown sensor and actuator deception attacks. Due to the existence of unknown deception attacks, the system states are unavailable such that the conventional backstepping cannot be applicable. To solve this problem, a novel coordinate transformation is introduced based on the compromised system states. Then the adaptive controller combined with the triggering mechanism is designed by using adding a power integrator technique. Besides, based on the finite‐time stability theorem, an adaptive switching law is proposed to regulate the dynamic controller parameter such that the unknown deception attacks can be effectively compensated. It is shown that the finite‐time stability can be guaranteed for the nonlinear CPSs and Zeno behavior can be avoided. Finally, a simulation example is provided to show the effectiveness of the proposed control scheme.
Deep learning ring artifact correction in photon-counting spectral CT with perceptual loss

Photon-counting spectral CT is a novel technology with a lot of promise. However, one common issue is detector inhomogeneity which results in streak artifacts in the sinogram domain and ring artifacts in the image domain. These rings are very conspicuous and limit the clinical usefulness of the images. We propose a deep learning based image processing technique for ring artifact correction in the sinogram domain. In particular, we train a UNet using a perceptual loss function with VGG16 as feature extractor to remove streak artifacts in the basis sinograms. Our results show that this method can successfully produce ring-corrected virtual monoenergetic images at a range of energy levels.
Interaction Studies of Chlorpheniramine Maleate in Mono and Dihydric Alcohols by Density, Viscosity, and HPLC Methods

The examination of a drug in water and other aqueous systems gives insight into the chemistry of biological systems. This work aims to study the physico-chemical properties of chlorpheniramine maleate (drug) in water and aq-MeOH/EG (mono/dihydric alcohols) systems at different temperatures by using different techniques. Densities and viscosities of chlorpheniramine maleate in water and also in MeOH/EG aqueous solutions have been measured over a temperature range of 298.15 to 318.15 K. Number of several parameters, i.e., apparent molar volume (ϕv), partial molar volume (ϕvo), Hepler’s constant (∂CΡ/∂Ρ)T, Falkenhagen coefficient (A), and Jones-Dole coefficient (B) have been calculated by using experimentally measured density and viscosity values. The mentioned calculated parameters were found to be valuable in perceiving drug-drug and drug-solvent interactions. Moreover, one of the liquid chromatographic techniques such as RP-HPLC has also been performed, and the outcomes supported the conclusion procured from the volumetric and viscometric studies. Drug interactions help to understand their behavior in different solvent systems during drug development.
Comparative study of the analgesic effects of Bungarus fasciatus snake venom from Vinh Phuc and Tien Giang Provinces of Vietnam

Purpose: To determine the analgesic activity of Bungarus fasciatus venoms and their fractions from two Vietnamese Provinces. Methods: Male Swiss Albino mice were randomly divided into three groups containing 8 to 10 mice each. Control group was injected subcutaneously with normal saline, standard group received aspirin solution (50 mg/kg) perorally, and study group received a solution of crude venom or isolated fractions in physiological saline. To determine analgesic activity, acetic acid writhing and tail immersion tests were used. The venoms were separated by liquid chromatography and the analgesic activity of the fractions was analyzed. Results: Both venoms showed analgesic effect in the acetic acid writhing test, but only the venom from Tien Giang showed analgesic effect in the tail immersion test. The bioactive fractions of Vinh Phuc and Tien Giang venoms were significantly different, with most of Vinh Phuc venom fractions being more active (p < 0.05). Thus, 35 min after the injection, the number of writhings decreased from 15 - 16 in the control to 0.85 ± 0.34 for the BF-4VS (Vinh Phuc) fraction compared to 2.67 ± 1.20 (p < 0.05) for the BF-4DT (Thien Giang) fraction. Two proteins with analgesic activity were isolated from Vinh Phuc venom, and one with greater activity matched the known B. fasciatus phospholipase A2. Conclusion: The analgesic activity of two samples of B. fasciatus venom from two different provinces in Vietnam reveal that their pharmacological profiles differ. The isolates can be explored as leads in the development of new analgesic agents.
Impact of the Implementation of Evaluation Model Centered on a Strong Interdisciplinary Approach in CBA (Competence-Based Approach): Case of Secondary School in the Francophone Sub-section in Cameroon

The aim of the present study was to highlight the impact of the interdisciplinary evaluation approach on the different actors around the ten schools selected all over the country for the experimentation of the concept. For that purpose, field and laboratory works were carried out. Many results were then collected. For all the 200 heads of Pedagogical Departments interviewed, this approach is the key that opens the way to permanent collaboration between the Pedagogical Departments of the same academic institution. All the 500 students interviewed up have noticed through this approach that all subjects are important despite some nuances noted within the comments of some. The heads of the ten establishments targeted across the country for this work have unanimously expressed positive judgments about this way of proceeding in an evaluation situation. In all ten Regions, seventy out of the hundred target families showed their enthusiasm directly after discovering the new configuration of evaluations in the institutions attended by their children. For the future, after two years, the approach should be applicable to the entire lower secondary cycle.
Prevalence of Osteoporosis Assessed by DXA and/or CT in Severe Obese Patients

The primary objective was to evaluate bone fragility prevalence on dual X-ray absorptiometry (DXA) and computed tomography (CT) in patients with severe obesity. The secondary objective was to evaluate the risk factors for bone fragility. This monocentric study was conducted in patients with grade 2 and 3 obesity. Bone mineral density (BMD) and T-score were studied on DXA, and the scanographic bone attenuation coefficient of L1 (SBAC-L1) was measured on CT. Among the 1386 patients included, 1013 had undergone both DXA and CT within less than 2 years. The mean age was 48.4 (±11.4) years, 77.6% were women, and the mean BMI was 45.6 (±6.7) kg/m². Eight patients (0.8%) had osteoporosis in at least one site. The mean SBAC-L1 was 192.3 (±52.4) HU; 163 patients (16.1%) were under the threshold of 145 HU. Older age (OR[CI95] = 1.1 [1.08–1.16]), lower BMD on the femoral neck and spine (OR[CI95] = 0.04[0.005–0.33] and OR[CI95] = 0.001[0.0001–0.008], respectively), and higher lean mass (OR[CI95] = 1.1 [1.03–1.13]) were significantly associated with an SBAC-L1 ≤ 145 HU in multivariate analysis. Approximately 16% of patients with severe obesity were under the SBAC-L1 threshold, while less than 1% were classified as osteoporotic on DXA.
The differential rotation of G dwarfs

A series of stellar models of spectral type G is computed to study the rotation laws resulting from mean-field equations. The rotation laws of the slowly rotating Sun, the rapidly rotating MOST starsEri and κ 1 Cet, and the rapid rotators R58 and LQ Lup can be easily reproduced. We also find that differences in the depth of the convection zone cause large differences in the surface rotation law and that the extreme surface shear of HD 171488 can only be explained with an artificially shallow convection layer. We verify the thermal wind equilibrium in rapidly rotating G dwarfs and find that the polar subrotation (dΩ/dz 0) is caused by the Reynolds stresses. In the bulk of the convection zones where the meridional flow is slow and smooth, the thermal wind equilibrium holds between the centrifugal and the pressure forces. It does not hold, however, in the bounding shear layers including the equatorial region where the Reynolds stresses dominate.
Correction of the Mitochondrial NADH Oxidase Activity, Peroxidation and Phospholipid Metabolism by Haplogenin-7-Glucoside in Hypoxia and Ischemia

In this study, it was used haplogenin-7-glucoside flavonol (C16H12O8) isolated from the plant Haplophyllum perforatum. It was studied the effect of haplogenin-7-glycoside on NADH oxidase activity, peroxidation, and phospholipid metabolism in rat liver mitochondria under in vitro conditions. Incubation of mitochondria at 37 ℃ leads to disruption of the integrity of mitochondrial membranes, as a result, in cytochrome с desorption from the inner membrane into the intermembrane space, which leads to a decrease in the activity of rotenone-sensitive NADH oxidase and an increase in the activity of rotenone-insensitive NADH oxidase. Haplogenin-7-glucoside exhibits membrane stabilization by reducing these alterations. Under ischemia conditions, the effect of haplogenin-7-glucoside on the LPO process in mitochondria decreases LPO in mitochondria. Quantitative changes in phosphatidylserine in mitochondrial membranes under LPO conditions during incubation of mitochondria at 37 ℃ were observed to accelerate controlled (auto-oxidation) LPO over time (0 - 90 min). Peroxidation of phosphatidylserine in mitochondria when the addition of haplogenin-7-glucoside to the incubation medium at 30, 60 and 90 min, LPO was found to be reduced. The increasing amount of phosphatidylinositol has not happened depend on time. However, a slight increase was found under the influence of haplogenin-7-glucoside. HIGHLIGHTS Cytochrome c desorption from the inner membrane into the interstitial space leads to a decrease in the activity of rotenone-sensitive NADH-oxidase and an increase in the activity of non-rotenone-sensitive NADH-oxidase Haplogenin-7-glycoside showed membrane-stabilizing properties by significantly reducing these changes; the addition of haplogenin-7-glucoside to mitochondria leads to a decrease for MDA, a decrease in the LPO process At incubation of mitochondria at 37℃, the amount of phosphatidic acid and lysophosphatidic acid in mitochondria under LPO conditions was also found to be less than control under the influence of haplogenin-7-glucoside. Thus, haplogenin-7-glucoside reduces the rate of peroxidation of phospholipids in liver mitochondria and has a corrective effect GRAPHICAL ABSTRACT
A note on the multimodel superensemble technique for reducing forecast errors

The multimodel superensemble (SE) technique has been used with considerable success to improve meteorological forecasts and is now being applied to ocean models. Although the technique has been shown to produce deterministic forecasts that can be superior to the individual models in the ensemble or a simple multimodel ensemble forecast, there is a clear need to understand its strengths and limitations. This paper is an attempt to do so in simple, easily understood contexts. The results demonstrate that the SE forecast is almost always better than the simple ensemble forecast, the degree of improvement depending on the properties of the models in the ensemble. However, the skill of the SE forecast with respect to the true forecast depends on a number of factors, principal among which is the skill of the models in the ensemble. As can be expected, if the ensemble consists of models with poor skill, the SE forecast will also be poor, although better than the ensemble forecast. On the other hand, the inclusion of even a single skillful model in the ensemble increases the forecast skill significantly.
A Study on the Teaching Method of the Fire Extinguishment Education Based on the NCS

Purpose: This study aims to examine the development direction of fire extinguishing education based on NCS on the teaching method of fire extinguishing education in the Navy. Fire extinguishment education is composed of basic education from basic remuneration to advanced education. Especially, since the Navy is mainly formed inside the ship composed of sealed compartments, fire extinguishing education is very important because there are such phenomena as Flameover, Backdraft, Flashover, Rollover, etc. except for special cases. And also, this study is focused on the fire extinguishing education for NCS-based education on beginner courses in the navy. Method: As a research method, the contents is developed focusing on literature review. At the same time, I work as a petty officer for 16 years and also consider the part that I actually experience as a field expert in the navy. Especially, I would like to propose an NCS-based education method that is used in most of the society in order to introduce the current fire extinguishment department in education and training. Results: In conclusion, the lecture-oriented education is still the most frequently conducted in our military. However, in order to promote the participation of learners through systematic education and training system based on NCS and job-specific education, which can be one of the field and lecture halls, and to apply it to the elementary fire-extinguishing education in the military, it is necessary to develop the NCS-based learning module together with the teaching and learning design and the teaching and learning process plan. Conclusion: Finally, the NCS learning module is designed to cultivate the ability to solve the job in case of exhibition or emergency. Therefore, it is effective for the students to diagnose the learning by preparing the result table and self-assessment checklist after the training and to perform grouping and individual practice according to the practice guide after the teacher provides the explanation and demonstration of the practice guide at the introduction of the class. In order to utilize the learning module effectively, teachers should thoroughly analyze the NCS to understand the contents and level of job ability required in the field work, and to have practical skills and expertise that can be used for performance evaluation. Especially, the new instructors should thoroughly analyze the contents of NCS related to the practical curriculum and prepare for the following matters in designing the teaching and learning process. The following research is to compare the satisfaction of NCS subject and NCS subject.
First record of Theloderma khoii Ninh, Nguyen, Nguyen, Hoang, Siliyavong, Nguyen, Le, Le & Ziegler, 2022 from China, with confirmation of Rhacophorus orlovi Ziegler & Köhler, 2001 in China (Anura, Rhacophoridae)

We report the first country record of Theloderma khoii Ninh, Nguyen, Nguyen, Hoang, Siliyavong, Nguyen, Le, Le & Ziegler, 2022 from China based on a specimen collected from Wenshan Prefecture, southeastern Yunnan, China. Morphologically, the specimen from Wenshan Prefecture agrees well with the type specimens of T. khoii from Vietnam except for having a smaller body size, and phylogenetically clustered with the type specimens of T. khoii from Vietnam. In addition, we confirm the distribution of Rhacophorus orlovi Ziegler & Köhler, 2001 in China based on three specimens collected from Honghe Prefecture, southern Yunnan, China. Morphologically, the specimens from Honghe Prefecture agree well with the type specimens of R. orlovi from Vietnam except for having a slightly larger body size in adult females, and phylogenetically clustered with the specimens of R. orlovi from Vietnam (including the type locality of R. orlovi).
Cardiac Troponin T in Neonates from Normal and Gestational Diabetes Mellitus Pregnancy

This study is aimed at testing the hypothesis that serum analysis of high-sensitivity troponin T in neonates may serve as a diagnostic tool to predict the risk of gestational diabetes mellitus (GDM). 86 newborns were studied and stratified into two groups: healthy group; newborns with body weight ≥ 10th percentile, born in good condition (APG 8-10pts) of pregnancy not complicated by diabetes, and the GDM group; neonates born to mothers with type 1 or type 2 diabetes. Results. The study revealed minimal troponin levels in GDM, and healthy groups equal to 0.02 ng/mL and 0.028 ng/mL, respectively. The GDM group is defined by an interquartile range of hs-TnT higher than the healthy group. This study confirms previously reported upper levels of troponin in healthy children. There are possible health problems that can appear during infancy and influence the further development of a child affected by GDM.
Neural Synthesis of Sound Effects Using Flow-Based Deep Generative Models

Creating variations of sound effects for video games is a time-consuming task that grows with the size and complexity of the games themselves. The process usually comprises recording source material and mixing different layers of sound to create sound effects that are perceived as diverse during gameplay. In this work, we present a method to generate controllable variations of sound effects that can be used in the creative process of sound designers. We adopt WaveFlow, a generative flow model that works directly on raw audio and has proven to perform well for speech synthesis. Using a lower-dimensional mel spectrogram as the conditioner allows both user controllability and a way for the network to generate more diversity. Additionally, it gives the model style transfer capabilities. We evaluate several models in terms of the quality and variability of the generated sounds using both quantitative and subjective evaluations. The results suggest that there is a trade-off between quality and diversity. Nevertheless, our method achieves a quality level similar to that of the training set while generating perceivable variations according to a perceptual study that includes game audio experts.
A Four-Dimensional Variational Data Assimilation Approach with Analysis at the End of Assimilation W

In this paper, we propose a new approach to four-dimensional variational data assimilation (4DVar) with analysis of the initial condition (IC) at the end of assimilation window. The new approach is referred to as “backward 4DVar (B-4DVar). ” The minimization of its cost function is fulfilled through an ensemble of historical prediction samples. B-4DVar is computationally efficient because it does not use tangent linear or adjoint models. To prepare it for numerical weather prediction, a B-4DVar assimilation system is developed based on an operational regional prediction model, the Advanced Regional Eta Model (AREM). Two single observation experiments (SOEs) and an observing system simulation experiment (OSSE) are conducted to evaluate the system. The SOEs reveal a characteristic of flow dependence in B-4DVar, which is consistent with statistical estimation of the background error covariance matrix (simply B-matrix) using a group of IC-reliant historical prediction samples. The OSSE suggests that the B-4DVar approach improves the analytic quality of IC by effectively incorporating conventional observations, thereby outperforming the 3DVar. The time-saving feature, flow dependence in B-matrix, and good performance in assimilating conventional observations indicate the potential and feasibility of B-4DVar in operational use.
Alternative Simulation-Based Estimators of Logit Models with Random Effects

Logit models with random effects are now widely used in applied Statistics and Econometrics. They usually lead to intractable likelihood functions, as they involve integrals without closed form solution. Numerical integration can be used to compute the likelihood and software is available (Hedeker and Gibbons, 1996). Difficulties can be encountered when the number of random effect parameters is not very small. With a detailed Monte Carlo experimentation, we show in this paper that the simulation-based estimators are almost as efficient as maximum likelihood. They are Simulated Maximum Likelihood (Gouri´eroux and Monfort, 1991), Indirect Inference (Gouri´eroux, Monfort and Renault, 1993) using an auxiliary approximated likelihood estimator, and Indirect Inference using an auxiliary linear probability model. The advantage of the latter is its great simplicity and computational speed.
Unsupervised Entity Linking with Guided Summarization and Multiple-Choice Selection

Entity linking, the task of linking potentially ambiguous mentions in texts to corresponding knowledge-base entities, is an important component for language understanding. We address two challenge in entity linking: how to leverage wider contexts surrounding a mention, and how to deal with limited training data. We propose a fully unsupervised model called SumMC that first generates a guided summary of the contexts conditioning on the mention, and then casts the task to a multiple-choice problem where the model chooses an entity from a list of candidates. In addition to evaluating our model on existing datasets that focus on named entities, we create a new dataset that links noun phrases from WikiHow to Wikidata. We show that our SumMC model achieves state-of-the-art unsupervised performance on our new dataset and on exiting datasets.
Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches

Computational Intelligence and Feature Selection provides a high level audience with both the background and fundamental ideas behind feature selection with an emphasis on those techniques based on rough and fuzzy sets, including their hybridizations. It introduces set theory, fuzzy set theory, rough set theory, and fuzzy-rough set theory, and illustrates the power and efficacy of the feature selection described through the use of real-world applications and worked examples. Program files implementing major algorithms covered, together with the necessary instructions and datasets, are available on the Web.