Miracle-dz/UniFAR-FTUs huggingface dataset:
An Accelerometer-based Privacy Attack on Smartphones

Most smartphones are equipped with an accelerometer sensor . There are numerous scenarios in which this sensor can be very useful. However it can also represent a privacy threat. Indeed, the measurement of the device vibrations can be exploited to detect private information. The attack can be favored by the fact that this specific sensor is normally not considered a “dangerous” one and also by the fact that the measurements of today’s sensors are quite accurate. Recently many research studies have focused on the task of inferring information from the accelerometer measurements. There are several settings that can be considered and several final goals; in this paper we consider the specific case of recognizing words that the device itself is reproducing through its loudspeakers. A recent paper has considered this scenario and has proposed a recognizer, based on Convolutional Neural Networks, for single digits, single letters and a small set of “hot words”. Following such a research direction, in this paper, we provide an improved recognizer for single letters and digits. We performed an evaluation study to assess the effectiveness of the proposed attack. Results show that the system outperforms the previous approach. We also propose a generalization whose goal is that of recognizing entire words, or even sentences, not by means of a dictionary, but by first recognizing syllables and then locate sequences of syllables that correspond to words. We provide preliminary results in this direction.
The correlation between vitamin D 3 and Cathelicidin as a marker of innate immune system in the covid19 patients

Background: Pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection emerged in Wuhan City, Hubei Province, China in December 2019. By Feb. 11, 2020, the World Health Organization (WHO) officially named the disease resulting from infection with SARS-CoV-2 as coronavirus disease 2019 (COVID-19). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) responsible for COVID19 infection. Vitamin D3 is a fat-soluble vitamin and has immune function, particularly in modulating the inflammatory response to viral infection. vitaminD3 modulates both the adaptive and innate immun at cellular level. Cathelicidin is Antimicrobial peptides and main components of innate immunity. Aims: To study the association between Cathelicidin and vitamin D3 levels to prove the importance of their role in treatment of Iraqi patients with COVID 19. Materials and methods This case–control study consisted of 90 samples, 60 of them have COVID-19. Patient divided into three group (20 mild, 20moderate, 20 sever cases of COVID-19). 30 were control individuals and age range of individuals (patient and control) was (20-70). Detection of cathelicidin levels were carried out by Enzyme-Linked Immunosorbent Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 27915 Assay (ELISA). vitamin D3 levels were carried out by fully automated chemiluminescence immunoassay analyser . Conclusion: Vitamin D3 deficiency is more susceptible to development of COVID-19 diseases by affecting on innate immunity.
Knowledge for tomorrow

In this short notice we give some ideas how to compute isolated sublattices which can be used to derive a recursive algorithm for the computation of the number of closure operators on a finite lattice. We give an asymptoticaly optimal algorithm for deciding the existence and in the case of existence the computation of useful nontrivial isolated summit sublattices. The general case (i.e., an optimal algorithm for the computation of general nontrivial useful isolated sublattices) remains unsolved, however, we try to give some ideas and hints for future research. 1 Motivation, Basic Definitions and Notation Isolated Sublattices are used in [1] to derive a recursive algorithm for computing thee number of closure operators by means of a quotient lattice. A crucial point in this algorithm is the computation of an isolated sublattice. This can be done in polynomial time as sketched at the end of [1], however, it would be desirable to obtain a linear time algorithm. We will see in Subsection 2.1 that we can achieve this for a special class of isolated sublattices. For the general case, we sketch some ideas in Subsection 2.2. Let us start with some definition and notational conventions. For a lattice (S,≤), we denote its least and greatest element by ⊥ and⊤, resp. We often use S as notation for a lattice instead of (S,≤). In a lattice, we define an isolated sublattice as follows: Definition 1.1. Let (S,≤) be a lattice. A subset S ⊆ S is called an isolated sublattice if it fulfills the following properties: 1. S is a sublattice with greatest element ⊤S′ and least element ⊥S′ . 2. ∀x < S∀y ∈ S : y ≤ x⇒ ⊤S′ ≤ x 3. ∀x < S∀y ∈ S : x ≤ y ⇒ x ≤ ⊥S′ Clearly S is an isolated sublattice which we call trivial. Also, every singleton subset of S is also an isolated sublattice, even though of little interest and use. So we call an isolated sublattice with more than one element useful. In [1] it is shown that an isolated sublattice always has the form [⊥S′ ,⊤S′ ], i.e., it is an interval in S. If⊤S′ = ⊤ holds we speak of a summit isolated sublattice. In particular, every summit isolated sublattice is of the form [z,⊤]. Moreover, it is easy to check that both [⊥,⊤] and [⊤,⊤] are summit isolated sublattices.
New High Power CW Test Facilities For ITER ICRH Components Testing

First CW test bed, devoted for Ion Cyclotron Resonance Heating (ICRH), has been built at CEA Cadarache. It has been designed for testing the ICRH antenna sub assemblies under ITER relevant conditions (vacuum, cooling and RF). This paper presents a technical overview of these facilities and discusses their future operations in the framework of the ITER ICRH European R&D program.
Enabling continuous improvement: a case study of implementation

Widespread recognition of the strategic imperative posed by a turbulent external environment has brought into focus a key challenge for firms – that of increasing involvement in innovation by the staff in the organisation. Much research has suggested that organisations that mobilise a large proportion of their staff to participate in innovation can make significant gains. Achieving this depends on a systematic process of organisational development in which the facilitative patterns of behavioural routines are extended and reinforced, so that they become a major culture change. This paper reports on progress with this organisational development methodology using a detailed case study of its use within a major mining company in South Africa. It makes use of a reference model framework to help structure and direct the change process towards enabling higher involvement in innovation. In particular it explores practical issues involved in moving a large organisation along a path of high involvement innovation.
USING SIMULATION TO EVALUATE THE PERFORMANCE OF TRANSSHIPMENT POLICIES WITHIN TWO ECHELONS

ABSTRACT Transshipments refer to a variety of actions that can result in the sharing of inventory among locations, possibly at different levels of the supply chain. The implementation of transshipment can minimize the cost while maintaining a certain service. It is common for a distributor to use several retailers of different locations to transship its products throughout a region. Therefore, the selection of effective transshipment rules in multi-location inventory systems is important for a successful retail sector. Our research is motivated by observations from various industries such as apparel, fashion goods, and toys, particularly by those retailers with brick and click outlets. The objective of this study is to evaluate a variety of transshipment policies via simulation. A simulation model is used to evaluate the performance of various transshipment policies in corporation with two inventory control policies. According to the numerical experiment results, some managerial implications are suggested. The main findings of this study is that using lateral transshipment in corporation with (Q,R) and (R,s,S) policies inventory policies can result in lower cost and high service level. Furthermore, the (R,s,S)policy is more effective than (Q,R) policy when transshipment policy is applied for the set of circumstances under investigation. The same methodology and modeling approach used in this study could be applied to various supply chains of products with the similar characteristics.
Cytotoxic, Antibacterial, and Leishmanicidal Activities of Paullinia pinnata (Linn.) Leaves

Background: Paullinia pinnata leaves are employed traditionally for the treatment of various ailments which are of biological origin. Objectives: The aim of this study was to explore cytotoxic, antibacterial, and antileishmanial properties of the leaves of Paullinia pinnata using in vitro models. Methods: Brine shrimp lethality bioassay was used to determine the cytotoxic activity of the methanol leaf extract of Paullinia pinnata. The activity of the extract against the growth of cultured Leishmania major (DESTO) promastigotes was used to investigate the leishmanicidal activities. The agar well diffusion method was used to investigate the antibacterial activity against Salmonella typhi, Pseudomonas aeruginosa, Shigella flexneri, Escherichia coli, Staphylococcus aureus, and Bacillus subtilis. Results: The methanol leaf extract of P. pinnata had no activity against Artemia salina (brine shrimp) and L. major. It showed a non-significant activity against E. coli and B. subtilis and no activity against P. aeruginosa, S. flexneri, S. typhi, and S. aureus. Conclusion: The methanol leaf extract of P. pinnata did not exhibit any cytotoxic and anti-leishmanial properties. Moreover, the activity against various species of bacteria was not significant.
Efficient analysis of periodic structures

An algorithm which allows the analysis of optical periodic structures with a very large number of periods with minimum numerical problems is presented, For this purpose the stable impedance transfer is combined with Floquet's theorem. Numerical results for a Bragg grating with up to 20000 periods are presented featuring the very moderate numerical effort.
GENEVA USING LATENT CLASS ANALYSIS

In hospitalized populations, there is significant heterogeneity in patient characteristics, disease severity, and treatment responses, which generally translates into very different related outcomes and costs. A better understanding of this heterogeneity can lead to better management, more effective and efficient treatments by personalizing care to better meet patients’ profiles. Thus, identifying distinct clinical profiles among patients can lead to more homogenous subgroups of patients. Super-utilizers (SUs) are such a group, who contribute a substantial proportion of health care costs and utilize a disproportionately high share of health care resources. This study uses cost, utilization metrics and clinical information to segment the population of patients (N=32,759) admitted to the University Hospital of Geneva in 2019 and thus identifies the characteristics of its SUs group using Latent Class Analysis. This study shows how cluster analysis might be valuable to hospitals for identifying super-utilizers within their patient population and understanding their characteristics.
Breaking the MAR Paradigm: Estimation, Bounding, and Sensitivity When Data Are Missing Not at Random

Patients often discontinue treatment in a clinical trial because their health condition is not improving. Consequently, the patients still in the study at the end of the trial have better health outcomes on average than the initial patient population would have had if every patient had completed the trial. If we only analyze the patients who complete the trial, then this missing data problem biases the estimator of a medication’s efficacy because study outcomes are missing not at random (MNAR). One way to overcome this problem the trimmed means approach for missing data sets missing values as the worst observed outcome and then trims away a fraction of the distribution from each treatment arm before calculating differences in treatment efficacy (Permutt 2017, Pharmaceutical statistics 16.1: 20-28). In this paper we derive sufficient and necessary conditions for when this approach can identify the average population treatment effect. Numerical studies show the trimmed means approach’s ability to effectively estimate treatment efficacy when data are MNAR and missingness is strongly associated with an unfavorable outcome, but trimmed means fail when data are missing at random (MAR). If the reasons for discontinuation in a clinical trial are known, analysts can improve estimates with a combination of multiple imputation (MI) and the trimmed means approach when the assumptions of each hold. We compare the methodology to existing approaches using data from a clinical trial for chronic pain. When the assumptions are justifiable, using trimmed means can help identify treatment effects notwithstanding MNAR data.
Splenectomy as an Alternative Way to Ameliorate some biomarker in β- Thalassemia patients

β-thalassemia is a spectrum of hemoglobinopathies with clinical manifestation of mild to severe anemia and need of serious therapy treatment. The present study was to evaluate the effect of splenectomy on some parameters in male patient with blood transfusion dependent β-thalassemia . In this study 100 individuals was used and divided as follow: A seventy male patients (35 without splenectomy and 35 with splenectomy) with blood transfusion dependent β-thalassemia against 30 healthy subjects with mean ages (21.46±4.22) were enrolled. The present result found significant decrease(P≤0.05) for leptin, LH, FSH and testosterone in thalassemic patients groups as compared to control group, while there was significant increase (P≤0.05) in serum Ghrelin concentration in thalassemic patients group as compared to control group. The present study conclude that Leptin and ghrelin have a considerable role in sexual maturity and fertility observed in thalassemia male patients.Splenectomy has the ability to reflect the negative changes caused by thalassemia. This effect is not only on metabolic hormones, but it’s highly effective for fertility and normalization if reproductive problems in adult male patients.
Supercritical Flow Flumes for Measuring Sediment-Laden Flow

A general type of supercritical flow flume has been developed over many years of experience and testing in discharge measurements at the Walnut Gulch experimental watershed, Tombstone, Ariz. The design and experience with . the original type flume, called the Walnut Gulch . flume, is discussed and its features and . application difficulties are described. Methods have been developed to analyze flows that exhibited lateral asymmetry in cross sectional profile, and porous dikes have been developed to considerably reduce asymmetry in the alluvial approach section to these flumes. Rating relations have been developed by both experimental and theoretical means. The experience with the Walnut Gulch flumes has led to an improved design of supercritical flume, called the Santa Rita flume. The Santa Rita . flume design is presented in several sizes, along with a discussion of design requirements for stilling well intakes to minimize sediment inundation, record lag interpretation, and construction methods.
Vocational education and training for indigenous women in India: toward a participatory planning app

Indigenous women in India struggle to maintain their traditional knowledge, education and livelihoods in the face of colonization, neoliberalism and development. The paper analyzes the vocational education and skills training programmes implemented for indigenous women in India by the national government and local agencies. It considers the experiences of indigenous women from two different geographical locations and two distinct communities. The qualitative findings from the study indicate a mismatch between the requirements and desires of indigenous women and the policy objectives. By integrating self-determination into a subaltern framework, the paper suggests taking a participatory planning approach to VET for indigenous women. It brings attention to and draws practical suggestions for representation and inclusion of indigenous women in skills development. ARTICLE HISTORY Received 27 April 2021 Accepted 20 July 2021
Model factor for the bearing capacity of piles from pressuremeter test results – Eurocode 7 approach

This paper focuses on the establishment of a model factor for the calculation of the ultimate limit state (ULS) bearing capacity of piles in compression from Menard pressuremeter tests results. First, the requirements of Eurocode 7 are presented: calculation methods used for pile foundations must be validated against the results of static load tests and a model factor can be introduced to reach a target safety. This model factor is meant to take into account the scatter of the calculation model, whereas the spatial variability of the ground properties is dealt with by means of statistical methods. Then an analysis of a database of 174 full-scale static pile load tests carried out by the Laboratoire Central des Ponts et Chausees (LCPC, now called IFSTTAR), over the last 40 years, mainly in France, is performed and a new calculation model is established based on pressuremeter test results. Finally, the calibration procedure for deriving the model factor used in the recent French standard for pile design fol.
Wide band bunny-ear radiating element

A low-cost wideband radiating element for EW (electronic warfare) and radar array antenna applications is reported. This printed end-fire bunny-ear element is fed by a balanced slot line, and it can operate over 0.5 to 18 GHz with very low loss in an isolated environment. The input transition, the feed line, and the launching section of this element are essentially TEM (transverse electromagnetic) structures. The element was scaled and used in an L-band array with 50% instantaneous bandwidth. <<ETX>>
A Comparison of Function Bases For Polarization Coherence Tomog- raphy in Forest Scenarios

Polarization Coherence Tomography (PCT) addresses the TomoSAR inversion by approximating the unknown vertical reflectivity profile by a weighted series of functions constituting a basis. The individual weights can be estimated from the available interferometric coherences. This concept becomes particularly suitable for space borne TomoSAR implementations over forest volumes in which the reflectivity profiles have to be estimated relying on a small number of acquisitions (or interferometric coherences) and/or non-uniform baseline distributions. However, the choice of an adequate (orthogonal) basis suitable for forest scenarios is still an open point. In this work, we compare different alternatives on a real data set acquired in an airborne campaign over a temperate forest.
Energy Efficiency Maximization with Optimal Beamforming in Secure MISO CRNs with SWIPT

In this paper, the optimal beamforming problem of multi-input single-output (MISO) cognitive radio (CR) downlink networks with simultaneous wireless information and power transfer is studied. Due to the nonconvexity of the objective function, the considered nonconvex optimization problem is firstly transformed to an equivalent subtraction problem and then an approximated convex optimization problem is obtained by using the successive convex approximation (SCA). When the instantaneous channel state information (CSI) of the eavesdropping link is unknown to the legitimate transmitter, another interruption-constrained energy efficiency optimization problem is proposed and the Bernstein-type inequality (BTI) is used to conservatively approximate the probability constraint. The paper proposes a two-level iterative algorithm based on Dinkelbach to find the optimal solution of the EE maximization problem. Numerical results validate the effectiveness and convergence of the proposed algorithm.
The underestimation of high pressure in DFT+$U$ simulation for the wide range cold-pressure of lanthanide metals

Density functional theory plus U (DFT+ U ) is one of the most eﬃcient ﬁrst-principles methods to simulate the cold pressure properties of strongly-correlated materials. However, the applicability of DFT+ U at ultra-high pressure is not suﬃciently studied, especially in the widely-used augmented schemes [such as projector augmented wave (PAW) and linearized augmented plane wave (LAPW)]. This work has systematically investigated the performance of DFT+ U in PAW and LAPW at the pressure up to several hundred GPa for the lanthanide metals, which is a typical strongly-correlated series. We found DFT+ U simulation in PAW exhibits an unphysical underestimation of pressure in high-pressure region, which was not observed in conventional DFT simulation. By delicate analysis and comparison with local-orbital-independent hybrid functional results, we have demonstrated that this unphysical behavior is related to a normalization problem on the local density matrix caused by the overlap of local orbitals in PAW under high pressure. Additionally, we observed a slight underestimating of pressure in correlation correction methods in heavy lanthanides (Tm, Yb and Lu) in high-pressure region comparing with the DFT results without the inﬂuence of local orbital overlap, and it might be related to the enhancement of binding between atoms in correlation correction methods at high pressure. Our work reveals the underestimation of high pressure in DFT+ U simulation, analyses two sources of this unusual behavior and proposes their mechanism. Most importantly, our investigation highlights the breakdown of DFT+ U for high pressure simulation in VASP package based on PAW framework.
Analysis of Mixed Finite Elements for Elasticity. I. Exact stress symmetry

We consider mixed finite element methods with exact symmetric stress tensors. We derive a new quasi-optimal a priori error estimate uniformly valid with respect to the compressibility. For the a posteriori error analysis we consider the Prager-Synge hypercircle principle and introduce a new estimate uniformly valid in the incompressible limit. All estimates are validated by numerical examples.
Bandit problems with fidelity rewards

The fidelity bandits problem is a variant of the $K$-armed bandit problem in which the reward of each arm is augmented by a fidelity reward that provides the player with an additional payoff depending on how 'loyal' the player has been to that arm in the past. We propose two models for fidelity. In the loyalty-points model the amount of extra reward depends on the number of times the arm has previously been played. In the subscription model the additional reward depends on the current number of consecutive draws of the arm. We consider both stochastic and adversarial problems. Since single-arm strategies are not always optimal in stochastic problems, the notion of regret in the adversarial setting needs careful adjustment. We introduce three possible notions of regret and investigate which can be bounded sublinearly. We study in detail the special cases of increasing, decreasing and coupon (where the player gets an additional reward after every $m$ plays of an arm) fidelity rewards. For the models which do not necessarily enjoy sublinear regret, we provide a worst case lower bound. For those models which exhibit sublinear regret, we provide algorithms and bound their regret.