Miracle-dz/UniFAR-FTUs huggingface dataset:
RELOAD+REFRESH: Abusing Cache Replacement Policies to Perform Stealthy Cache Attacks

Caches have become the prime method for unintended information extraction across logical isolation boundaries. Even Spectre and Meltdown rely on the cache side channel, as it provides great resolution and is widely available on all major CPU platforms. As a consequence, several methods to stop cache attacks by detecting them have been proposed. Detection is strongly aided by the fact that observing cache activity of co-resident processes is not possible without altering the cache state and thereby forcing evictions on the observed processes. In this work, we show that this widely held assumption is incorrect. Through clever usage of the cache replacement policy it is possible to track a victims process cache accesses without forcing evictions on the victim's data. Hence, online detection mechanisms that rely on these evictions can be circumvented as they do not detect be the introduced RELOAD+REFRESH attack. The attack requires a profound understanding of the cache replacement policy. We present a methodology to recover the replacement policy and apply it to the last five generations of Intel processors. We further show empirically that the performance of RELOAD+REFRESH on cryptographic implementations is comparable to that of other widely used cache attacks, while its detectability becomes extremely difficult, due to the negligible effect on the victims cache access pattern.
Increased Neural Activity in Hazardous Drinkers During High Workload in a Visual Working Memory Task: A Preliminary Assessment Through Event-Related Potentials

Despite equated behavioral performance levels, hazardous drinkers generally exhibited increased neural activity while performing simple cognitive tasks compared to light drinkers. Here, 49 participants (25 hazardous and 24 light drinkers) participated in an event-related potentials (ERPs) study while performing an n-back working memory task. In the control zero-back (N0) condition, the subjects were required to press a button when the number “2” or “6” was displayed. In the two-back and three-back (N2; N3) conditions, the subjects had to press a button when the displayed number was identical to the number shown two/three trials earlier. To assess for the impact of alcohol consumption on the updating of working memory processes under various cognitive loads, difference waveforms of “N2 minus N0” and “N3 minus N0” were computed by subtracting waveforms in the N0 condition from waveforms in the N2 and N3 conditions, for the light and the hazardous drinkers. Three main ERP components were noted for both groups: a P200/N200 complex, a P300 component, and an N400/P600 activity. The results show that, to perform the task at the same level as the light drinkers, the hazardous drinkers exhibited larger amplitude differences, mainly around the P300 and P600 components. These data may be considered, at the preventive level, as vulnerability factors for developing adult substance use disorders, and they stress the importance, at a clinical level, to consider such working memory processes in the management of alcohol dependence.
Antiproton constraints on the GeV gamma-ray excess: a comprehensive analysis

A GeV gamma-ray excess has possibly been individuated in Fermi-LAT data from the Galactic Center and interpreted in terms of Dark Matter (DM) annihilations, either in hadronic (essentially bb̄) or leptonic channels. In order to test this tantalizing interpretation, we address two issues: (i) we improve the computation of secondary emission from DM (Inverse Compton and Bremsstrahlung) with respect to previous works, confirming it to be very relevant for determining the DM spectrum in the leptonic channels, so that any conclusion on the DM nature of the signal critically depends on this contribution; (ii) we consider the constraints from antiprotons on the DM hadronic channel, finding that the uncertainties on the propagation model, and in particular on the halo height, play a major role. Moreover, we discuss the role of solar modulation, taking into account possible charge dependent effects whose importance is estimated exploiting detailed numerical tools. The limits that we obtain severely constrain the DM interpretation of the excess in the hadronic channel, for standard assumptions on the Galactic propagation parameters and solar modulation. However, they considerably relax if more conservative choices are adopted.
THE TORSION FLOW ON A CLOSED PSEUDOHERMITIAN 3-MANIFOLD

In this paper we dene the torsion ow, a CR analogue of the Ricci ow. For homogeneous CR manifolds we give explicit solutions to the torsion ow illustrating various kinds of behavior. We also derive monotonicity formulas for CR entropy functionals. As an application, we classify torsion breathers.
ACM bundles on cubic threefolds

We study ACM bundles on cubic threefolds by using derived category techniques. We prove that the moduli space of stable Ulrich bundles of any rank is always non-empty by showing that it is birational to a moduli space of semistable torsion sheaves on the projective plane endowed with the action of a Clifford algebra. We describe this birational isomorphism via wall-crossing in the space of Bridgeland stability conditions, in the example of instanton sheaves of minimal charge.
Saudi English as a Foreign Language University Students’ Readiness for Autonomous Language Learning Preparación de estudiantes universitarios saudíes de inglés como lengua extranjera para el aprendizaje autónomo de idiomas

Autonomous language learning is considered to be a step to prepare students for their future. It is one aspect of the learner-centered approach. Therefore, investigating students’ readiness for ALL could be of paramount importance. This study aimed at revealing Saudi English major students’ readiness for ALL. More precisely, the study sought to identify the students’ perspectives on their personal responsibility and that of their professors towards English learning, their ability to act autonomously, and their real application of ALL outside the classroom. A questionnaire was adopted for data collection. The participants were 105 students majoring in English language at a public university in Saudi Arabia. The results showed a relationship between the participants’ responsibility towards the process and that of their professors. However, the students assigned more responsibility to their teachers. It was also found that the participants were not confident in their capability to act autonomously in the process of learning English. Finally, the results showed that the participants do not autonomously practice several extracurricular activities mentioned in the questionnaire. Generally, the participants were not ready for ALL, and the study recommended that students’ awareness of the advantages of ALL be raised.
ISOLATION AND CHARACTERIZATION OF 13-CYCLOPENTANE TRIDEANOIC ACID FROM CYANTHILLIUM CINERIUM (L.) H. ROB. AND IT’S IN– SILICO BASED ANTIDIABETIC EFFECT

Naturally available medicinal plants are found to possess enormous biological properties based on their bioactive constituents present in that plant. Cyanthillium cinereum (L.) H. Rob belongs to Asteraceae family has been reported as anti-microbial, antioxidant, anti- inflammatory properties. This study was aimed to explore the isolation and characterization of bioactive components present in the extracts of Cyanthillium cinereum and its anti-diabetic activities based on in-silico approaches. The methanolic extract of Cyanthillium cinereum was further proceeded to gel chromatography to isolate the active compound and its structure of obtained compound was elucidated by UV-VIS spectrometry, FT-IR spectrum, LC-MS, GC-MS and H1 & C13 NMR studies were carried. Based on these studies, the isolated compound was identified as “13- Cyclopentane Trideanoic acid” for the first time from this plant. The molecular formula for 13- Cyclopentane Trideanoic acid is C18H34O2 and molecular weight is 282.46 g/mol. Further, the ADMET and PASS analysis was carried out for 13-Cyclopentane Trideanoic acid, the results further reveals that this compound showed promising Drug likeliness properties and anti-diabetic activity scores. Thereby, based on these in-silico analysis, we intent to dock this compound with GLUT1, the binding affinity -165.71 showed that 13- Cyclopentane Trideanoic acid was interacting with GLUT1 at their active sites. Taken together, the isolated compound 13-Cyclopentane Trideanoic acid from Cyanthillium cinereum possess antidiabetic effects. In future, the anti-diabetic property of this compound may be explored in other models.
Interaction between the Gut Microbiota and Intestinal Motility

The gut microbiota is the largest symbiotic ecosystem with the host and has been proven to play an important role in maintaining the stability of the intestinal environment. The imbalance of the gut microbiota is caused by the imbalance between the symbiotic microbiota and the pathogenic microbiota. The commensal microbiome regulates intestinal motility, while the pathogenic microbiome causes intestinal motility disorder, resulting in disease development. Intestinal motility is a relatively general term, and its meaning may include intestinal muscle contraction, intestinal wall biomechanics, intestinal compliance, and transmission. The role of intestinal microecology and intestinal motility are interrelated, intestinal flora disorder mediates intestinal motility, and abnormal intestinal motility affects colonization of the intestinal flora. In this review, we briefly outlined the interaction between gut microbiota and intestinal motility and provided a reference for future studies.
The Marshall Lerner Condition and Money Demand: A Note

What are the respective effects of a unit increase in money demand on the real exchange rate and on the current account, all else equal? The real exchange rate is known to appreciate, but the current account need not deteriorate, as the canonical Marshall Lerner condition instead seems to suggest. As this work presents, the current account deteriorates by virtue of a real exchange appreciation due to a fall in the real money supply, all else equal, and vice versa; it further specifies that the current account improves by virtue of a real exchange rate appreciation due to a rise in money demand, all else equal, and vice versa.
HYBRID FIREFLY META OPTIMIZATION FOR BIO MEDICAL IMAGE PROCESSING USING DEEP LEARNING

Signal and image processing is a part of biomedical science. In that, Biomedical image processing have a great value such as recognition, segmentation and classification for disease diagnosis. In one part of biomedical science, brain tumor classification is considered with Magnetic Resonance Images (MRI) images using state of art models. Initially, the Convolutional Neural Network (CNN), Fast Convolutional Neural Network (FCNN), U-Net and M-Net model was considered for classification. Further, the Hybrid Firefly Meta Optimization (HFMO) is proposed for the better prediction purpose. The proposed work has three phases like normalization with augmentation, deep attention segmentation and classification. In the first phase, data augmentation is applied to increase the scope of the dataset. In the second phase, a deep attention technique is applied to concentrate on hotspot in the image during segmentation. Finally, a hybrid firefly optimization is applied to enhance the performance of the model in convolution neural network by backtracking the process. The measuring parameters like Dice coefficient, Jaccard index, Positive Projected Value (PPV), True Positive Rate and False Positive Rate were evaluated. The comparative analysis of various state of art models with proposed classifier were demonstrated. Thus the proposed technique produces the training accuracy as 98.62%, testing accuracy as 95.31 % and 1 % of loss.
LO-Net: Deep Real-Time Lidar Odometry

We present a novel deep convolutional network pipeline, LO-Net, for real-time lidar odometry estimation. Unlike most existing lidar odometry (LO) estimations that go through individually designed feature selection, feature matching, and pose estimation pipeline, LO-Net can be trained in an end-to-end manner. With a new mask-weighted geometric constraint loss, LO-Net can effectively learn feature representation for LO estimation, and can implicitly exploit the sequential dependencies and dynamics in the data. We also design a scan-to-map module, which uses the geometric and semantic information learned in LO-Net, to improve the estimation accuracy. Experiments on benchmark datasets demonstrate that LO-Net outperforms existing learning based approaches and has similar accuracy with the state-of-the-art geometry-based approach, LOAM.
Knowledge of Physicians about Pharmacokinetics Services in Saudi Arabia

Objective: In this study, we aimed to assess the knowledge of pharmacokinetics in the Kingdom of Saudi Arabia.Methods: This is a cross-sectional survey conducted to assess the knowledge of physicians about the pharmacokinetics services in Saudi Arabia. It is a self-reported questionnaire distributed in an electronic format to various physicians, including from interns to consultants and specialists in the Kingdom of Saudi Arabia. The survey collected demographic information of the responders and their knowledge of selected pharmacokinetics elements in medical care such as resources of knowledge of pharmacokinetics elements in medical practice. We used 5-point Likert response scale system with close-ended questions to obtain responses. The data were collected through the Survey Monkey system and analyzed using various software such as Statistical Package of Social Sciences (SPSS), Jeffery’s Amazing Statistics Program (JASP), and Microsoft Excel (version 16). Results: A total of 259 physicians responded to the questionnaire. Of them, 107 (44.96%) were male and 131 (55.04%) were female responders, with non-statistically significant difference between them (p=0.120). Most of the responders were in the age group of 36–45 years (91 (37.30%)) and 46–55 years (85 (34.84%)), with statistically significant differences between all age groups (p=0.000). Most of the physicians were residents (74 (29.48%)), followed by specialists (69 (27.49%)) and interns (68 (27.09%)), with statistically significant differences between them (p=0.010). The average score was 3.50 for physician’s knowledge of pharmacokinetics services, with high scores obtained for the element knowledge of the concept of pharmacokinetics (4.12), the concept of therapeutic drug monitoring (3.67), and official standardized form for requesting pharmacokinetics services or drug levels (3.61), with non-statistically significant differences between the responses (p=0.313). The majority of the resources used for pharmacokinetic services by physicians were drug information resources (e.g., Micromedex, Lexicomp, and Epocrates; 128 (52.24%), and medical association literature/guidelines/recommendations (63 (25.71%)). We performed single test of reliability analysis using McDonald’s ω (0.897) and Cronbach’s (0.8878). Conclusion: The knowledge of physicians about pharmacokinetics services was found to be inadequate in the Kingdom of Saudi Arabia. Therefore, targeting undergraduate and postgraduates training and education of physicians about pharmacokinetics is highly recommended in order to improve clinical outcome of patients and to avoid unnecessary economic burden on the healthcare system in the Kingdom of Saudi Arabia.
Construction, Extension and Coupling of Frames on Finite Dimensional Pontryagin Space

In this paper we extend to finite-dimensional Pontryagin spaces the methods used in \cite{CasazzaLeon,Deguang} to build frames from an adjoint and positive operator. It is proved that any frame in finite dimensional Pontryagin space $\mathcal{K}$ is $J$-orthogonal projection of a frame for a space $\mathcal{H}$ such that $\mathcal{K}\subset\mathcal{H}$. Furthermore, given $\{k_{n}\}_{n=1}^{m}$ and $\{x_{n}\}_{n=1}^{k}$ frames for $\mathcal{K}$ and $\mathcal{H}$ respectively, we build a finite-dimensional Pontryagin space $\mathfrak{K}$ and a frame $\{y_{n}\}_{n=1}^{N}$ for $\mathfrak{K}$ such that $\mathcal{K},\mathcal{H}\subset\mathfrak{K}$ and $\{k_{n}\}_{n=1}^{m},\{x_{n}\}_{n=1}^{k}\subset \{y_{n}\}_{n=1}^{N}$.
A dynamical characterization of universally tight lens spaces

We give necessary and sufficient conditions for a closed connected co‐orientable contact 3 ‐manifold (M,ξ) to be a standard lens space based on assumptions on the Reeb flow associated to a defining contact form. Our methods also provide rational global surfaces of section for non‐degenerate Reeb flows on (L(p,q),ξstd) with prescribed binding orbits.
On the minimal length of extremal rays for Fano 4-folds

The minimum of intersection numbers of the anti-canonical divisor with rational curves on a Fano manifold is called pseudo-index. It is expected that the intersection number of anti-canonical divisor attains to the minimum on an extremal ray, i.e. there exists an extremal rational curve whose intersection number with the anti-canonical divisor equals the pseudo-index. In this note, we prove this for smooth Fano 4-folds having birational contractions.
A Remark on the modified Zakharov-Kuznetsov equation in three space dimensions

The Cauchy Problem for the modified Zakharov-Kuznetsov equation in three space dimensions is shown to be locally well-posed in H(R) for s > 1 2 . Combined with the conservation of mass and energy this result implies global well-posedness for small data in H(R).
A Training Configuration of Pilot Study

Knowledge distillation [1] is widely used in BNN training, with the real-valued model as a teacher and the 1-bit network as a student. For example, Real-toBinary [5] employs a multilevel distillation loss to learn from the middle stage of a teacher model. ReActNet [2] simplifies distillation and only applies KL divergence in the last layer. In this work, we train BCDNets with both distillation and label-supervision losses. In training, we attach two fully-connected layers at last to learn from the teacher and real labels based on the KL divergence and cross-entropy loss respectively. Given results yt from a teacher network and global-average-pooled features ys from a student network, the overall objective is formulated as:
Hadronic production of a Higgs boson and two jets at next-to-leading order

We perform an update of the next-to-leading order calculation of the rate for Higgs boson production in association with two jets. Our new calculation incorporates the full analytic result for the one-loop virtual amplitude. This new theoretical information allows us to construct a code including the decay of the Higgs boson without incurring a prohibitive penalty in computer running time. Results are presented for the Tevatron, where implications for the Higgs search are sketched, and also for a range of scenarios at the LHC.
A Laboratory-Scale Experiment and a Numerical Simulation of Unusual Spiral Plumes in a High-Prandtl-number Fluid

We experimentally and numerically investigated the generation of plumes from a local heat source (LHS) and studied the interaction of these plumes with cellular convective motion (CCM) in a rectangular cavity filled with silicon oil at a Prandtl number (Pr) of approximately two thousand. The LHS is generated using a 0.2-W green laser beam. A roll-type CCM is generated by vertically heating one side of the cavity. The CCM may lead to the formation of an unusual spiral convective plume that resembles a vertical Archimedes spiral. A similar plume is obtained in a direct numerical simulation. We discuss the physical mechanism for the formation of a spiral plume and the application of the results to mantle convection problems. We also estimate the Reynolds (Re) and Rayleigh (Ra) numbers and apply self-similarity theory to convection in the Earth's mantle. Spiral plumes can be used to interpret mantle tomography results over the last decade.
Research on wireless Powered Communication Networks Sum Rate Maximization based on time Reversal OFDM

This paper studies a wireless power communication network(WPCN) based on orthogonal frequency division multiplexing (OFDM) with time reversal(TR). In this paper, the " Harvest Then Transmit " protocol is adopted, and the transmission time block is divided into three stages, the first stage is for power transmission, the second stage is for TR detection, and the third stage is for information transmission. The energy limited access point (AP) and the terminal node obtain energy from the radiofrequency signal sent by the power beacon (PB) to assist the terminal data transmission. The energy limited AP and the terminal node obtain energy from the radio frequency signal sent by the PB to assist the terminal data transmission. In the TR phase and the wireless information transmission (WIT) phase, the terminal transmits the TR detection signal to the AP using the collected energy, and the AP uses the collected energy to transmit independent signals to a plurality of terminals through OFDM. In order to maximize the sum rate of WPCN, the energy collection time and AP power allocation are jointly optimized. Under the energy causal constraint, the subcarrier allocation, power allocation and time allocation of the whole process are studied, and because of the binary variables involved in the subcarrier allocation, the problem belongs to the mixed integer non-convex programming problem. the problem is transformed into a quasiconvex problem, and then binary search is used to obtain the optimal solution. The simulation results verify the effectiveness of this scheme. The results show that the proposed scheme significantly improves the sum rate of the terminal compared to the reference scheme.
Open Research Online The acquisition and development of academic vocabulary: Learners’ perspectives

Academic vocabulary is widely recognised as a key aspect of academic writing style and there is a well-established link between the knowledge of academic vocabulary and academic achievement. Considering the role that academic vocabulary plays in academic settings, the acquisition and usage of this type of vocabulary is crucial for university students. However, few studies have examined academic vocabulary from the perspective of novice student writers. Consequently, this study investigated academic vocabulary as perceived by multilingual foundation-level students at a UK university ( N = 17). In particular, the sources of acquisition of academic words and the contributing factors impacting the development of productive academic vocabulary were explored through semi-structured interviews. The findings have potentially important pedagogical implications not only for foundation-level provi-sions but also wider English for Academic Purposes (EAP) contexts as they highlight the role of appropriate sources, instructed environment, peer support and the importance of opportunities for writing practice together with receiving feedback on written production.
Magnetic reconnection with radiative cooling. I. Optically thin regime

Magnetic reconnection processes in many high-energy-density astrophysical and laboratory plasma systems are significantly affected by radiation; hence traditional, nonradiative reconnection models are not applicable to these systems. Motivated by this observation, the present paper develops a Sweet–Parker-like theory of resistive magnetic reconnection with strong radiative cooling. It is found that, in the case with zero guide field, intense radiative cooling leads to a strong plasma compression, resulting in a higher reconnection rate. The compression ratio and the reconnection layer temperature are determined by the balance between ohmic heating and radiative cooling. The lower temperature in a radiatively cooled layer leads to a higher Spitzer resistivity and, hence, a higher reconnection rate. Several specific radiative processes (bremsstrahlung, cyclotron, and inverse Compton) in the optically thin regime are considered for both the zero- and strong-guide-field cases, and concrete expressions for the.