Miracle-dz/UniFAR-FTUs huggingface dataset:
Metabolomics Analysis Reveals Novel Targets of Chemosensitizing Polyphenols and Omega-3 Polyunsaturated Fatty Acids in Triple Negative Breast Cancer Cells

Triple negative breast cancer (TNBC) is a subtype of breast cancer with typically poorer outcomes due to its aggressive clinical behavior and lack of targeted treatment options. Currently, treatment is limited to the administration of high-dose chemotherapeutics, which results in significant toxicities and drug resistance. As such, there is a need to de-escalate chemotherapeutic doses in TNBC while also retaining/improving treatment efficacy. Dietary polyphenols and omega-3 polyunsaturated fatty acids (PUFAs) have been demonstrated to have unique properties in experimental models of TNBC, improving the efficacy of doxorubicin and reversing multi-drug resistance. However, the pleiotropic nature of these compounds has caused their mechanisms to remain elusive, preventing the development of more potent mimetics to take advantage of their properties. Using untargeted metabolomics, we identify a diverse set of metabolites/metabolic pathways that are targeted by these compounds following treatment in MDA-MB-231 cells. Furthermore, we demonstrate that these chemosensitizers do not all target the same metabolic processes, but rather organize into distinct clusters based on similarities among metabolic targets. Common themes in metabolic targets included amino acid metabolism (particularly one-carbon and glutamine metabolism) and alterations in fatty acid oxidation. Moreover, doxorubicin treatment alone generally targeted different metabolites/pathways than chemosensitizers. This information provides novel insights into chemosensitization mechanisms in TNBC.
A Latent Class Analysis of Suicidal Behaviors in Adolescents

Objective The purpose of the present study was to identify adolescents’ suicide subgroups using five indicators (depression, anxiety, suicide ideation, and planned and attempted suicide), and explore the distinctive features of each subgroup. Methods This study included 2,258 teenagers from four schools. Both adolescents and their parents, who voluntarily agreed to participate in the study, completed a series of self-reported questionnaires on depression, anxiety, suicide, self-harm, self-esteem, impulsivity, childhood maltreatment, and deviant behaviors. The data were analyzed using latent class analysis, a person-centered method. Results Four classes were detected: “high risk for suicide without distress,” “high risk for suicide with distress,” “low risk for suicide with distress,” and “healthy. ” The “high risk for suicide with distress” class was the most severe on all evaluated psychosocial risk factors, namely, impulsivity, low self-esteem, self-harming behaviours, deviant behaviour problems, and childhood maltreatment, followed by “high risk for suicide without distress. ” Conclusion This study identified two high risk subgroups for adolescent’ suicidality, “high risk for suicide with or without distress. ” Both high risk subgroups for suicide showed higher scores for all psychosocial risk factors than low risk subgroups for suicide. Our findings suggest that special attention needs to be paid to the latent class “high risk for suicide without distress,” as this group’s “cry for help” might be relatively difficult to detect. Specific interventions for each group (e.g., distress safety plans for “suicidal potential with or without emotional distress”) need to be developed and implemented.
Formal Methods in the Theories of Rings and Domains

In recent years, Hilbert's Programme has been resumed within the framework of constructive mathematics. This undertaking has already shown its feasability for a considerable part of commutative algebra. In particular, point-free methods have been playing a primary role, emerging as the appropriate language for expressing the interplay between real and ideal in mathematics. This dissertation is written within this tradition and has Sambin's notion of formal topology at its core. We start by developing general tools, in order to make this notion more immediate for algebraic application. We revise the Zariski spectrum as an inductively generated basic topology, and we analyse the constructive status of the corresponding principles of spatiality and reducibility. Through a series of examples, we show how the principle of spatiality is recurrent in the mathematical practice. The tools developed before are applied to specific problems in constructive algebra. In particular, we find an elementary characterization of the notion of codimension for ideals of a commutative ring, by means of which a constructive version of Krull's principal ideal theorem can be stated and proved. We prove a formal version of the projective Eisenbud-Evans-Storch theorem. Finally, guided by the algebraic intuition, we present an application in constructive domain theory, by proving a finite version of Kleene-Kreisel density theorem for non-flat information systems.
Spectral Feature Matching Based on Isometric Projection of Matrix

This paper presents a spectral method to matching a pair of feature sets based on isometric projection of matrix. In the proposed method, a graph is constructed to model the structure relationships between features. Then the correspondence is found by minimizing the inner product between two isometric projections of the weighted adjacency matrix of graph. Finally, transformation between the two feature sets is estimated according to correct correspondences. The performance of the proposed approach is better than the state-of-the-art method in terms of correct ratio under position perturbation and computation time. Experiments on a number of simulated data, synthetic and real-world images show the validity of the proposed algorithm.
Sarcopenia, obesity, and their association with selected behavioral factors in active older adults

Introduction: The number of obese people in the world is increasing, as is the number of sarcopenic people among the older adults. Although both states are concerning, they can be positively influenced by selected behavioral factors such as adequate nutrition and physical activity. We were interested in the prevalence of sarcopenic obesity in active older people and the influence of behavioral factors on this phenomenon. Methods: The study included 38 older adults (21 women) with a mean age of 75.3 ± 5.0 years. Sarcopenic parameters were determined with different tests: Handgrip Test, Chair Stand Test, Gait Speed, Timed Up and Go Test, and Short Physical Performance Battery. Body composition was measured by dual-energy x-ray absorptiometry. Physical activity level was measured using accelerometers, and nutritional status was assessed using the Mini-Nutritional Assessment and MEDLIFE Index questionnaire. Results: Of all included active participants (the average number of steps per day was 8,916 ± 3,543), 47.4% of them were obese. Of all included women, 52.4% were obese. Sarcopenic obesity was found in three (7.9%) participants. Nutritional status correlated with strength of lower extremities and physical performance tests (gait speed, Timed Up and Go Test and Short Physical performance battery). Higher number of steps per day positively correlates with physical performance. Discussion: Interestingly, we did not find any correlation between the main obesity parameter such as percent body fat or body mass index (and thus sarcopenic obesity) and any of the selected behavioral factors (physical activity, sedentary behavior, or dietary habits). In conclusion, reaching the recommended levels of physical activity in older adults may not be sufficient to prevent the occurrence of obesity and sarcopenic obesity.
Graph optimized Laplacian eigenmaps for face recognition

In recent years, a variety of nonlinear dimensionality reduction techniques (NLDR) have been proposed in the literature. They aim to address the limitations of traditional techniques such as PCA and classical scaling. Most of these techniques assume that the data of interest lie on an embedded non-linear manifold within the higher-dimensional space. They provide a mapping from the high-dimensional space to the low-dimensional embedding and may be viewed, in the context of machine learning, as a preliminary feature extraction step, after which pattern recognition algorithms are applied. Laplacian Eigenmaps (LE) is a nonlinear graph-based dimensionality reduction method. It has been successfully applied in many practical problems such as face recognition. However the construction of LE graph suffers, similarly to other graph-based DR techniques from the following issues: (1) the neighborhood graph is artificially defined in advance, and thus does not necessary benefit the desired DR task; (2) the graph is built using the nearest neighbor criterion which tends to work poorly due to the high-dimensionality of original space; and (3) its computation depends on two parameters whose values are generally uneasy to assign, the neighborhood size and the heat kernel parameter. To address the above-mentioned problems, for the particular case of the LPP method (a linear version of LE), L. Zhang et al.1 have developed a novel DR algorithm whose idea is to integrate graph construction with specific DR process into a unified framework. This algorithm results in an optimized graph rather than a predefined one.
Work-fluctuation theorem for a charged harmonic oscillator

The solution of the Langevin equation including the inertia term is used to prove the transient work-fluctuation theorem for an electrically charged Brownian harmonic oscillator in an electromagnetic field. The theorem is proved for the physical situation in which the system is driven out of equilibrium by an arbitrary time-dependent dragging of the trap potential minimum. The proof is first given for a harmonic oscillator in the absence of an electromagnetic field, and then is extended to include the case of a charged harmonic oscillator under the action of crossed electric and magnetic fields. The case of a linear motion for the potential minimum is explicitly addressed.
On the normal bundle of curves on nodal quartic surfaces

Let k be an algebraically closed field, char k = 0. Let C be an irreducible nonsingular curve such that 2C = S ⋂ F, where S and F are two surfaces and all the singularities of F are rational double points (if any). We prove that C can never pass through rational singularities of types A 2n n∈N, E6 and E8. We give conditions for C to pass through rational singularities of types. A 2k+1 k∈Z+ Dn n≥4 and E7, (0.8).
DYNAMICAL PHENOMENA IN LIQUID-CRYSTALLINE MATERIALS

▪ Abstract Recent progress in modeling and simulation of the flow of nematic liquid crystals is presented. The Leslie-Ericksen (LE) theory has been successful in elucidating the flow of low molar-mass nematics. The theoretical framework for the flow of polymeric nematic liquid crystals is still evolving; extensions of the Doi theory capture qualitative features of the flow of polymeric nematics in simple geometries, but these theories have not been shown to predict texture development in flow. Mesoscopic theories for textured materials based on spatial averaging capture only some qualitative features of nonrectilinear liquid-crystalline polymer flow. Interfacial effects in liquid-crystalline systems have begun to receive attention in the context of interfacial viscoelasticity and the dynamics of dispersed liquid-crystalline polymers in immiscible blends.
Instabilities of the upstream meniscus in directional viscous fingering

New instabilities affecting the meniscus of a viscous fluid are presented. They occur in an experimental set-up introduced previously by Rabaud et al. (1990) in which a small quantity of a viscous fluid is placed in the narrow gap between two rotating cylinders. In this geometry the downstream meniscus located in the region where the two solid surfaces move away from each other is known to be unstable and to exhibit directional viscous fingering. In the present article it is shown that the upstream meniscus can also be unstable. Two types of instabilities are observed. In the first supercritical transition the front becomes time-dependent with either standing or propagating waves. In a second transition, which is subcritical, parallel fingers of finite amplitude are formed. The various types of spatio-temporal dynamical behaviour are discussed.
Lifetime of ring current particles due to coulomb collisions in the plasmasphere

Ring current ions and electrons in the trapped belt are scattered and slowed down to Coulomb interactions with the thermal plasma in the plasmasphere and are eventually removed from trapped orbits. An expression for bounce-averged Coulomb lifetimes is derived using methods developed by Wentworth et al. (1959) but with the improvements of considering a more realistic representation of the thermal plasma distribution, as a Maxwellian rather than a delta function, and considering heavy ions in the ring current and thermal plasmas. Bounce-average Coulomb lifetimes for the major ring current ions are presented and are compared to Coulomb lifetimes in the literature. Coulomb lifetimes for ring current ions with energies less than {approximately} 10 keV are longer than those predicted using previously derived expressions; however, they are comparable to, or shorter than, charge exchange lifetimes at these energies. For realistic thermal plasma densities in the outer plasmasphere, Coulomb lifetimes for ring current heavy ions can be comparable to charge exchange lifetimes at energies near the peak of the ring current differential number density. These results suggest that Coulomb decay is an important ring current loss process for tens of keV ions and might explain the discrepancy noted by Kistler et al.more » (1989) between model ring current distributions and the ring current fluxes measured by AMPTE/CCE during magnetically active conditions. « less
Which rural settlements have lost the most population? An analysis of a case study of north-east Spain (Aragón) (1900–2001)

The aim of this article is to investigate how the characteristics of the different types of human settlements explain their demographic dynamics and, therefore, which of these have been affected to a greater extent by depopulation processes. For this purpose, we analyse the evolution of the population of Aragón (north-east Spain) in the period 1900–2001, according to the different types of population settlements that exist. Our results show that access to public services has played an essential role, especially when the construction of the welfare state made the rural population feel that there was a penalty for residing in settlements with problems to access them. The main settlements, headquarters of the municipal administration, have had advantages over the secondary settlements. Finally, the scattered population was the most affected and, therefore, emigrated to a greater extent, until this form of residence practically disappeared.
On Some Characteristics of Anisotropic Fibre Processes

This paper derives properties of various estimators of length intensity of stationary random fibre processes in Rd. The projections of the process onto R1 and intersections with a system of parallel (d - 1)-dimensional hyperplanes are studied. The estimation variances are expressed by means of pair correlation functions of appropriate random measures. The results are formulated for the anisotropic models in arbitrary dimension. Explicit formulas are obtained for the anistropic Boolean segment process.
Selected papers of Hirotugu Akaike

Foreword. - A Conversation with Hirotugu Akaike. - List of Publications of Hirotugu Akaike. - Papers. - 1. Precursors. - 1. On a zero-one process and some of its applications. - 2. On a successive transformation of probability distribution and its application to the analysis of the optimum gradient method. - 2. Frequency Domain Time Series Analysis. - 1. Effect of timing-error on the power spectrum of sampled-data. - 2. On a limiting process which asymptotically produces f-2 spectral density. - 3. On the statistical estimation of frequency response function. - 3. Time Domain Time Series Analysis. - 1. On the use of a linear model for the identification of feedback systems. - 2. Fitting autoregressive models for prediction. - 3. Statistical predictor identification. - 4. Autoregressive model fitting for control. - 5. Statistical approach to computer control of cement rotary kilns. - 6. Statistical identification for optimal control of supercritical thermal power plants. - 4. AIC and Parametrization. - 1. Information theory and an extension of the maximum likelihood princilple. - 2. A new look at the statistical model identification. - 3. Markovian representation of stochastic processes and its application to the analysis of autoregressive moving average processes. - 4. Covariance matrix computation of the state variable of a stationary Gaussian process. - 5. Analysis of cross classified data by AIC. - 6. On linear intensity models for mixed doubly stochastic Poisson and self-exciting point processes. - 5. Bayesian Approach. - 1. A Baysian analysis of the minimum AIC procedure. - 2. A new look at the Bayes procedure. - 3. On the likelihood of a time series model. - 4. Likelihood and the Bayes procedure. - 5. Seasonal adjustment by a Bayesian modeling. - 6. A quasi Bayesian approach to outlier detection. - 7. On the fallacy of the likelihood principle. - 8. A Bayesian apporach to the analysis of earth tides. - 9. Factor analysis and AIC. - 6. General Views on Statistics. - 1. Prediction and entropy. - 2. Experiences on the development of time series models. - 3. Implications of informational point of view on the development of statistical science.
Microfluidic Chip with Fiber-Tip Sensors for Synchronously Monitoring Concentration and Temperature of Glucose Solutions

Monitoring the properties of fluids in microfluidic chips often requires complex open-space optics technology and expensive equipment. In this work, we introduce dual-parameter optical sensors with fiber tips into the microfluidic chip. Multiple sensors were distributed in each channel of the chip, which enabled the real-time monitoring of the concentration and temperature of the microfluidics. The temperature sensitivity and glucose concentration sensitivity could reach 314 pm/°C and −0.678 dB/(g/L), respectively. The hemispherical probe hardly affected the microfluidic flow field. The integrated technology combined the optical fiber sensor with the microfluidic chip and was low cost with high performance. Therefore, we believe that the proposed microfluidic chip integrated with the optical sensor is beneficial for drug discovery, pathological research and material science investigation. The integrated technology has great application potential for micro total analysis systems (μ-TAS).
Characteristic analysis of the Qingdao-Huangdao bus network system

Since the successful opening of the first subsea tunnel in Qingdao city, the situation of "lack of communication between Qingdao and Huangdao" has been effectively resolved. The research proposes a multi-perspective analysis method based on the micro level (ML_MPA), which analyzes the characteristics of the Qingdao-Huangdao bus network system using complex networks. Based on the bus data, we construct the bus station network model and bus line network model between the urban area (Shibei District and Shinan District) and Huangdao District, and comprehensively analyze the overall characteristics of the bus system. The results show that the bus station network has a scale-free characteristic and the bus line network has a small-world characteristic. Combined with the analysis results, it is found that the station distribution of the Qingdao-Huangdao bus system is loose, but the line planning is reasonable. However, there is still the inconvenience of residents taking the bus. The research can provide a theoretical basis for the management of the Qingdao-Huangdao bus network system.
Recursive Distributed Filtering for Time-Varying Systems Over Sensor Network via Rayleigh Fading Channels: Tackling Binary Measurements

This paper is concerned with the distributed filtering problem for a class of discrete time-varying stochastic systems over binary sensor networks with the Rayleigh fading channels. Both the system state and measurement are subject to random noises with known statistical information, where the distribution function of measurement noise is employed to extract the functional information for state estimation purposes. The communication between a sensor node and its neighboring ones is implemented over a Rayleigh fading channel. For each binary sensor, a distributed filter is constructed by virtue of the available information from itself and its neighboring nodes, and the overall filtering error dynamics is guaranteed to be exponentially ultimately bounded in the mean square sense. By resorting to a local performance analysis method, sufficient criteria are established for ensuring the existence of the desired distributed filter in terms of a set of recursive linear matrix inequalities. The desired filter parameters are recursively calculated on every node by solving an optimization problem at each time instant with the aim of improving the estimation accuracy. Finally, some comparative results are presented to demonstrate the applicability and effectiveness of the developed distributed filtering scheme.
Error estimation in a stochastic finite element method in electrokinetics

Input data to a numerical model are not necessarily well known. Uncertainties may exist both in material properties and in the geometry of the device. They can be due, for instance, to ageing or imperfections in the manufacturing process. Input data can be modelled as random variables leading to a stochastic model. In electromagnetism, this leads to solution of a stochastic partial differential equation system. The solution can be approximated by a linear combination of basis functions rising from the tensorial product of the basis functions used to discretize the space (nodal shape function for example) and basis functions used to discretize the random dimension (a polynomial chaos expansion for example). Some methods (SSFEM, collocation) have been proposed in the literature to calculate such approximation. The issue is then how to compare the different approaches in an objective way. One solution is to use an appropriate a posteriori numerical error estimator. In this paper, we present an error estimator based on the constitutive relation error in electrokinetics, which allows the calculation of the distance between an average solution and the unknown exact solution. The method of calculation of the error is detailed in this paper from two solutions that satisfy the two equilibrium equations. In an example, we compare two different approximations (Legendre and Hermite polynomial chaos expansions) for the random dimension using the proposed error estimator. In addition, we show how to choose the appropriate order for the polynomial chaos expansion for the proposed error estimator. Copyright © 2009 John Wiley & Sons, Ltd.
Insights into the Scenario of SARS-CoV-2 Infection in Male Reproductive Toxicity

COVID-19 has become a significant public health concern that has catastrophic consequences for society. Some preliminary evidence suggests that the male reproductive system may be an infection target for SARS-CoV-2. SARS-CoV-2 may be transmitted sexually, according to preliminary research. Testicular cells exhibit a high level of the angiotensin-converting enzyme 2 (ACE2) receptor, which enhances the entry of the SARS-CoV-2 into host cells. Some instances of COVID-19 have been documented to exhibit hypogonadism during the acute stage. Furthermore, systemic inflammatory reactions triggered by SARS-CoV-2 infection may cause oxidative stress (OS), which has been shown to have profoundly deleterious consequences on testicular functioning. This work gives a clear picture of how COVID-19 may affect male reproductive systems and calls attention to the many unanswered questions about the mechanisms by which this virus can be linked to men’s health and fertility.