Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of Geometrical Features of Cell Surface Responsible for Cancer Aggressiveness: Machine Learning Analysis of Atomic Force Microscopy Images of Human Colorectal Epithelial Cells

It has been recently demonstrated that atomic force microscopy (AFM) allows for the rather precise identification of malignancy in bladder and cervical cells. Furthermore, an example of human colorectal epithelial cells imaged in AFM Ringing mode has demonstrated the ability to distinguish cells with varying cancer aggressiveness with the help of machine learning (ML). The previously used ML methods analyzed the entire cell image. The problem with such an approach is the lack of information about which features of the cell surface are associated with a high degree of aggressiveness of the cells. Here we suggest a machine-learning approach to overcome this problem. Our approach identifies specific geometrical regions on the cell surface that are critical for classifying cells as highly or lowly aggressive. Such localization gives a path to colocalize the newly identified features with possible clustering of specific molecules identified via standard bio-fluorescence imaging. The biological interpretation of the obtained information is discussed.
A pilot study evaluating strengths-based coaching for primary school students: Enhancing engagement and hope

Objective:This pilot study examines the impact of an evidence-based strengths coaching programme on male primary school students’ levels of engagement and hope.Design:In a within-subject design study, 38 Year Five male students (mean age 10.7 years) participated in a strengths-based coaching programme as part of their Personal Development/Health programme at an independent, private primary school in Sydney, Australia.Method:Participants were randomly allocated to groups of four or five with each group receiving eight coaching sessions over two school terms. The Youth Values in Action survey was used to highlight participant’s character strengths, and the participants were coached in identifying personally meaningful goals, and in being persistent in their goal-striving, as well as finding novel ways to use their signature strengths. They also completed a ‘Letter from the future’ that involved writing about themselves at their best.Results:The strengths-based coaching pilot programme was associated with significant increases in the students’ self-reported levels of engagement and hope.Conclusions:Strengths-based coaching programmes may be considered as potential mental health prevention and promotion intervention in a primary school setting to increase students’ wellbeing and may also form an important part of an overall Positive Education Programme.
Inside Facebook’s semiosphere. How social media influence digital hate and fuel cyber-polarization

ABSTRACT The journey inside Facebook’s semiosphere revolves around the present-day controversy on how algorithms foster polarization and discord in one of the biggest and most popular social media platforms, namely, Facebook. The present work focuses on the so-called Facebook Files as a specific case study. By drawing on these investigations, the present study discusses what are the principles used by the Facebook algorithms in order to select a certain type of content and to direct attention to it, whilst generally discarding other types of content considered not enough engaging. By drawing on the perspective of the semiotics of culture, this paper makes an analogy between Ju. Lotman’s model of the “semiosphere” and the Facebook’s digital semiosphere with the goal of unpacking how the selection, diffusion, and suppression of online content is geared towards the polarization of ideas.
The phase curve of cometary dust: Observations of comet 96P/Machholz 1 at large phase angle with the SOHO LASCO C3 coronagraph

We have analyzed brightness and polarization data of comet 96P/Machholz, obtained with the SOHO-LASCO C3 coronagraph at phase angles up to 167° and 157°, respectively. The polarization data are characteristic of a typical dusty comet. Within error limits the corresponding trigonometric fit describes the new data measured at larger phase angles as well as those of the previously known range. In the phase angle range from 110° to 167° the brightness increases almost linearly by about two orders of magnitude. The gradient is independent of wavelength. From the absence of a diffraction spike we conclude that the grains contributing significantly to the scattered light must have a size parameter $x = 2\pi r/\lambda \ge 20$, i.e. have a radius larger than 1 μ m. Fits of the data with Mie calculations of particles having a power law distribution of power index ≈ 2.5 provide a best fit refractive index $\emph{m}$ = 1.2 + $\emph{i}$0.004. In the framework of effective medium theory and on the assumption of a particle porosity $P= 0.5$ this leads to a complex refractive index of the porous medium $\emph{m}$ = 1.43 + $\emph{i}$0.009. A higher refractive index is possible for more porous grains with very low absorption. The large particle sizes are in qualitative agreement with findings derived from the analysis of the motion of cometary dust under solar radiation pressure (Fulle and coworkers, see [CITE]; [CITE] 1997) and with the in-situ measurements of the dust of Halley's comet.
Bidimensional instability in antiferroelectric liquid crystals

In the last decade it has been experimentally found a periodic domain pattern arising in smectic C* liquid crystals in surface stabilized bookshelf geometry. Such a periodic texture appears after switching-off an external electric field, even in strong anchoring conditions. It has a static character and can be bidimensional, being dependent on both directions normal to the smectic planes and normal to the cell plates. In the present work an explanation to this phenomenon is proposed. According to our model in the antiferroelectric phase the biperiodic texture is a threshold phenomenon, appearing for values of the spontaneous polarization greater than a critical value, whereas in the ferroelectric phase this type of bidimensional instability is hindered.
Effect of Small Irregularities on Electromagnetic Scattering from an Interface of Arbitrary Shape

A perturbation analysis is used to determine the effect of small irregularities on electromagnetic scattering from an interface between two media. The interface irregularities are replaced by approximate equivalent surface currents, and the field in space can then be found using the dyadic Green's function of the unperturbed problem. The approach is valid when the irregularity has small slope and amplitude small compared to the wavelengths and local radii of curvature. To facilitate applications, the theory of dyadic Green's functions is developed, and the necessary functions are given for some important geometries.
Some Limit Theorems in the Theory of Mass Service

In the paper limit theorems describing the work of a queuing system with one server are considered in the general case. In § 1 the probabilities of large values of the waiting time are studied. The absence of the explicit form of the distributions does not prevent here the detailed study of the asymptotic expressions for the required probabilities. § 2 contains the refinement of the limit theorems obtained earlier in [2]–[5] and describes the work of the system under the condition of heavy traffic.
Permanent-magnet longitudinal fields for magnetostrictive devices

This paper discusses a technique for improving the homogeneity of the magnetic field of tube-like permanent magnets designed for magnetostrictive devices. The high homogeneity of the magnetic field along the tube is achieved by gradually changing shape or remanence of combined short rings. The analysis of the field in the magnet is performed using the magnetic charge principle and axial magnetic field equations are deduced. An example of design of a longitudinal uniform field for a magnetostrictive rod with large length to diameter ratio is presented.
Thermo-physical and fire properties of sustainable bio composites: Experimental and computational analysis

ABSTRACT Bio-composites were prepared by incorporating broom grass, fishtail palm, sansevieria fibers as reinforcement in unsaturated polyester resin using hand lay-up method. The thermo physical and fire properties of bio-composites has been examined by varying the fiber content (0 to 39 wt. %) and temperature (30–120°C). The thermal insulation and heat storage capability of samples was assessed using guarded heat flow meter and differential scanning calorimeter. The experimental results reveal that, as the weight fraction of fiber increased, the insulation capability of composites increased, whereas it decreased with the temperature. The response of specific heat and thermal diffusivity of composites with temperature was analyzed. Temperature distribution and heat transfer through the composite materials was computed using ANSYS fluent solver. The rate of heat transfer through the fishtail palm fiber composite is 14.02% lesser than glass fiber composite. Cone calorimeter was used to measure fire behavior of the samples and the results reveal that the broom grass fiber composite material possesses better fire resistance characteristics against fire hazard. Morphological study of composites was performed with the help of Scanning Electron Microscopy (SEM) for the visualization of homogeneity of surfaces. Developed bio-composites are the potential materials to replace petrochemical-based products.
Extinction of Visible and Infrared Radiation in Rain: Comparison of Theory and Experiment

Abstract A critical review is given of the experimental and theoretical results concerning the measurement of rainfall using optical extinction, i.e., the attenuation of radiation with wavelength less than or equal to that of the infrared band. It is shown that rainfall rates found from an empirical relation involving optical extinction generally display average deviations without regard for sign of only 25% when compared with those measured by raingages directly beneath the optical beam. It is also shown that the differences between experimental and theoretical results can be explained in terms of variations of the shape of the raindrop size distribution, i.e., deviations from exponentiality.
Modeling RMB Exchange Rate Volatility – Application of GARCH Family Models

The exchange rate risk caused by the two-way fluctuation of the RMB exchange rate will bring many effects. The volatility of the foreign exchange market is the most common feature of the financial market. Therefore, the research on the volatility of the RMB exchange rate is of great significance in economic and financial aspects. Through statistical analysis of the RMB exchange rate data, an ARMA model was established to eliminate the auto-correlation of the sequence, and the GARCH family model was combined to fit the data. Comparing different distribution hypotheses, the EGARCH model under the GED distribution determined by the information criterion can match well the financial time series peak and thick tail characteristics. That the RMB exchange rate has agglomeration volatility and leverage effect is also shown, and provides relevant suggestions for preventing RMB exchange rate risks.
Autonomous Manipulation of an Underwater Vehicle-Manipulator System by a Composite Control Scheme With Disturbance Estimation

This article addresses an autonomous manipulation problem for an underwater vehicle-manipulator system (UVMS) operating in a free-floating way while subjecting to unknown continuous disturbance. More specifically, a composite control scheme composed of disturbance observer (DOB), predictor model network (PM-Net), and nonlinear model predictive control (NMPC), is devised to improve the control performance of UVMS (i.e., unicycle-like UVMS actuated only in the surge, heave, and yaw for vehicle body) in the case of disturbance, model mismatch, and input saturation. A RBF-DOB is formulated by combining a DOB and a Radial Basis Function (RBF) neural network to estimate disturbance at the current step. Then, the PM-Network, composed of a disturbance predictor network and state predictor network, is developed based on long short-term memory (LSTM) network that predicts UVMS state sequences considering model mismatch and disturbance. The NMPC is deployed as a feedback control law to endow the input saturation of the UVMS and produce optimal control action. Compared with conventional DOB control methods using feed-forward compensation of disturbance, the primary merit of the proposed approach is that the disturbance estimated by RBF-DOB is utilized in the PM-Net to predict future UVMS state sequences, which are exploited on the NMPC’s receding optimization. Finally, realistic simulation and relevant experiment are conducted to demonstrate the effectiveness of the proposed method. Note to Practitioners—The motivation behind this article is the autonomous manipulation of an underwater vehicle-manipulator system subjected to unknown disturbance. However, it is not always feasible or straightforward to obtain the external disturbance and unmodeled dynamics for designing robust controllers. On the one hand, how to manipulate the disturbance into the designed controller to generate optimal control action rather than by using feed-forward compensation. On the other hand, the control input saturation often occurs in the UVMS control, especially under the disturbance rejection conditions, where it should be considered in the controller design. Currently, the predominant methods for UVMS control lack a control scheme that provides a complete and credible control strategy that takes the aforementioned issues into consideration. Motivated by the above analysis, this study provides a composite control scheme to deal with the dynamic uncertainties, unknown disturbance, and input saturation. The results of realistic simulation and relevant experiments demonstrate the effectiveness of the proposed method. Hopefully, our control method can provide valuable theoretical and technical guidance to practicing marine engineers for controller design.
VLA snapshot continuum survey of the first quadrant of the Galactic plane at 1. 5 GHz

A continuum VLA survey of the Galactic plane has been performed at 1.5 GHz, with most fields complete to about 30 mJy peak flux density. Measurements of position, peak, and total flux density have been obtained for 471 compact sources. An excess of sources above that predicted from extragalactic source counts is found for longitudes less than 40 deg at all flux-density intervals. With the exception of 86 compact sources that lie within 2.4 arcsec of a source in the radio recombination-line survey of Lockman (1988), source counts are shown to agree with extragalactic source counts for all flux-density and longitude intervals. 21 references.
A stable recursion for the steady state vector in markov chains of m/g/1 type

For the matrix analogues of Markov chains of the M/G/1 type, we derive a stable recursive scheme to compute the steady state probability vector. This scheme, which is the natural generalization of a clever device attributed to P.J. Burke in the M/G/1 case, is substantially superior to the Gauss-Seidel iterative scheme.
Familiarity Constraints on Weak Definite DPS

Weak definite DPs have been characterized as definite DPs lacking the uniqueness presupposition usually associated with the definite determiner and suffering distributional restrictions that depend on the lexical information conveyed by the NP and on the prototypicality of the activity denoted by the VP. This paper tackles the latter issue. We propose a unified analysis of the definite determiner, by which the determiner conveys a presupposition of uniqueness and of familiarity also in weak DPs. Appealing to the notion of weak familiarity (Roberts 2003), we can thus account for prototypicality restrictions, which turn out to depend on the accessibility of familiar situations in a conversational or conventional background.
van der Waals - Zeeman transitions of metastable neon atoms passing through a micro-slit copper grating

Surface-induced transitions between Zeeman sub-levels of metastable neon atoms traversing a micro-slit copper grating are investigated. The quadrupolar part of the surface van der Waals interaction suddenly perturbs the evolution of the Zeeman sub-levels in a magnetic field B, giving rise to van der Waals - Zeeman transitions. Exothermal inelastic transitions are identified by the related deflection γ . I n a diagram (γ, B 1/2 ) the location of the inelastic peaks is fitted by straight lines of slopes proportional to |∆m| −1/2 ,w here ∆m is the magnetic number change.
Eating Behaviors, Lifestyle, and Ischemic Stroke: A Lebanese Case-Control Study

Background: Stroke is the second leading cause of death and the third leading cause of disability on a global scale. Most clinicians tend to underestimate the importance of diet and inadequate or dysfunctional eating attitudes in patients with a complicated relationship with food. Concerned about the potential of an independent Lebanese approach, and also because prior international research has revealed a link between eating intake or choice and ischemic stroke risk, it was considered vital to broaden the scope of the literature and evaluate further the association of disordered eating attitudes and focus on the distinct relationship with food in the case of orthorexia nervosa (ON) in the Lebanese community. Consequently, the purpose of the present study is to investigate the potential association between pre-existing disordered eating attitudes, specifically ON, and ischemic stroke risk, with an emphasis on the evidence supporting a Mediterranean-style diet. Methods: This research is a case-control survey study involving 113 Lebanese individuals with ischemic stroke and 451 age-(within 5 years) and sex-matched controls recruited from several hospitals in Lebanon (April 2020–April 2021). Results: According to the findings of our first regression model, living 100 m from a crowded road (adjusted odds ratio [aOR]: 3.421, 95% confidence interval [CI]: 1.585–7.387), living 100 m from an electricity generator (aOR: 3.686, 95% CI: 1.681–8.085), higher waterpipe dependence (aOR: 1.204, 95% CI: 1.117–1.297), higher exposure to passive smoking (aOR: 2.651, 95% CI: 2.051–3.426), being married (aOR: 3.545, 95% CI: 1.297–9.689), having a low educational attainment (aOR: 0.239, 95% CI: 0.084–0.679), vigorous physical activity (aOR: 1.003, 95% CI: 1.001–1.006), and having more inappropriate eating (aOR: 1.040, 95% CI: 1.006–1.074) were all associated with higher odds of having ischemic stroke. Furthermore, atrial fibrillation (aOR: 2.945, 95% CI: 1.010–8.585), diabetes (aOR: 2.550, 95% CI: 1.169–5.561), heart diseases (aOR: 6.193, 95% CI: 2.196–17.463), and hypertension (aOR: 2.744, 95% CI: 1.049–7.180) were also linked to an increased risk of stroke. Moreover, having more orthorexia nervosa tendencies (aOR: 1.123, 95% CI: 1.021–1.235) was related to a higher odds of having an ischemic stroke, whereas better adherence to the MeD was significantly linked (aOR: 0.691, 95% CI: 0.583–0.819) to lower odds of ischemic stroke. Conclusions: Ischemic stroke patients were more likely to have disordered eating attitudes and orthorexic behaviors. Furthermore, the MeD has been found to be beneficial in reducing ischemic stroke risk. Despite the study’s focus, outdoor pollution, waterpipe dependence, and passive smoking were linked to ischemic stroke. In summary, this review suggests that improving one’s nutritional status and making a few lifestyle changes are key stroke prevention and treatment methods.
On recurrence of a random walk in the plane

The purpose of this note is to establish a sufficient condition for recurrence of a random walk (Se) in R2. It follows from it that if SI/nn/2 is asymptotically normal then we have recurrence. Let X1, X2,. be independent, identically distributed random variables in R k, k > 1, with common distribution F, and let for n> 1, Sn = E7 Xi, S0 = 0. The random walk S = (Sn)' has a point of recurrence at x if, for every e > 0, P(ISn XI 0, see the references above, and (2) holds if and only if 1 fRe 1 t=o (3) rAz l IA I rf(t) for all neighborhoods A of 0, where f is the characteristic function of F: the criterion (3) is Theorem 3 in [1]. The study of recurrence has been carried out, to a large extent, by using (3) and related criteria. For example, in one dimension E[Xi] = 0 implies recurrence, which is rather easily deduced from (3). In [2] a probabilistic (combinatorial) proof P is given that the weaker assumption Sn/n -O 0 is sufficient for recurrence. In that paper it is also claimed that if, in R2 S"/n /2 is asymptotically normal, which is the case when E[Xi] = 0 (zero vector) and E[XiX12] 2, we let IYI = maxl 0 on some interval [0, c] such that f (h(u)/u)du oo and lim P(jSnj oo for each x E [0, c], then S is recurrent. PROOF. Since x2* h(x) is uniformly continuous on [0, c], and since the functions infnf>kP(I Snj 0 there exist n(e) such that inf P(ISnI X2 h(x) (5) for all x E [0, c]. Furthermore, for integers m > 1 we have
Convergence Analysis of Value Iteration Adaptive Dynamic Programming for Continuous-Time Nonlinear Systems

This article is concerned with the convergence property and error bounds analysis of value iteration (VI) adaptive dynamic programming for continuous-time (CT) nonlinear systems. The size relationship between the total value function and the single integral step cost is described by assuming a contraction assumption. Then, the convergence property of VI is proved while the initial condition is an arbitrary positive semidefinite function. Moreover, the accumulated effects of approximation errors generated in each iteration are taken into consideration while using approximators to implement the algorithm. Based on the contraction assumption, the error bounds condition is proposed, which ensures the approximated iterative results converge to a neighborhood of the optimum, and the relation between the optimal solution and approximated iterative results is also derived. To make the contraction assumption more concrete, an estimation way is proposed to derive a conservative value of the assumption. Finally, three simulation cases are given to validate the theoretical results.
Decomposable statistics in the scheme of allocating distinguishable and indistinguishable particles to distinguishable cells

We consider the problem of allocating a set of distinguishable and indistinguishable particles to distinguishable cells and discuss its connection with decomposable statistics. Applications of this scheme to combinatorial problems are given. The research was supported by the Russian Foundation for Basic Research, grant 94-01-01273. 1. RANDOM ALLOCATIONS OF PARTICLES TO CELLS AND CONDITIONAL DISTRIBUTIONS A set of particles consisting of n} > 1 distinguishable and n2 > I indistinguishable particles is allocated to N > 2 cells in such a way that each particle hits one cell. We number the cells from 1 to N and the distinguishable particles from 1 to n\ . We treat the result of allocating as an ordered set of ordered pairs (m*(l),m*(2)), fc=l,. ,yV, (1) where the non-negative integers m}(i),. ,mN(i), i= 1,2, are called the contents of cells and satisfy the equalities ml(i)+. + mN(i) = ni, ι =1,2. (2) Thus, mk(\) and mk(2) are the numbers of distinguishable and indistinguishable particles, respectively, which occupy the cell with number fc, k = 1, . ,N. We introduce the following probability space. Let ω' = (αι,.,αηι), ω" = [b},. ,bn2], ahbj = l,. ,N, i = l,. ,n}9j= I,. ,n2} where [cb . ,c„] means (see, for example [1]) the non-ordered tuple consisting of the numbers c\, . ,cn. We interpret ak as the number of the cell hit by the Mi particle *UDC 519.2. Originally published in Diskretnaya Matematika (1997) 9, No. 4 (in Russian). Received December 25, 1995. Translated by V. F. Kolchin.