Miracle-dz/UniFAR-FTUs huggingface dataset:
The Theoretical Study of Rare Event Weighted Logistic Regression for Classification of Imbalanced Data

One of the problems in data classification is imbalanced data. In two-class classification, imbalance problem occurs where one of the two classes has more samples than another class. In such situation, most of the classifier will be biased towards the major class, while the minor class will be subordinated eventually which leads to inaccurate classification. Therefore, a method to classify the imbalanced data is required. Rare Event Weighted Logistic Regression (RE-WLR) which is developed by Maalouf and Siddiqi is a method of classification applied to large imbalanced data and rare event. This study showed the review of RE-WLR for the classification of imbalanced data. It explicated the steps to obtain the estimator specifically, particularly for IRLS. RE-WLR is a combination of Logistic Regression (LR) rare events corrections and Truncated Regularized Iteratively Re-weighted Least Squares (TR-IRLS). Rare event correction in LR is applied to Weighted Logistic Regression (WLR). Regularization was added to reduce over-fitting. The estimation of (cid:2010) is performed by using the method of maximum likelihood (ML), while WLR maximum likelihood estimates (MLE) were obtained by using IRLS method of Newton-Raphson algorithm. In order to solve large optimization problems, Truncated-Newton method is applied.
Active disturbance rejection controller design for harmonic suppression in MPC optimal control based on harmonic state space modeling

This paper proposes a harmonic suppression strategy for photovoltaic‐voltage source converters (PV‐VSC). The proposed method utilizes a harmonic state space (HSS) model‐combine model predictive control (MPC) algorithm, which provides a comprehensive representation of the global characteristics of AC/DC harmonic coupling impedance in photovoltaic systems. The HSS‐based converter model operates as a linear time‐varying periodic system, which allows for the implementation of MPC to optimize the HSS equation. This optimization yields voltage increments across various harmonic orders, providing feedforward compensation for the current controller. By incorporating feedback signals into the current control, harmonic compensation is achieved, resulting in improved power quality. Furthermore, a decoupled proportional resonance‐linear adaptive disturbance rejection control (PR‐LADRC) is employed to effectively mitigate steady‐state errors and decrease total harmonic distortion in the presence of DC‐side disturbances. This is accomplished by decoupling the disturbance observer from the controller and integrating the increment feedback signal derived from the MPC‐HSS. Finally, the efficacy of the proposed method and the analysis results are corroborated through numerical simulations.
A longitudinal study of strengths, challenges, and inequities in a Spanish-English dual-language program

ABSTRACT In this longitudinal, qualitative case study, critical pedagogical and sociocultural perspectives were employed to analyze the language and literacy strengths, challenges, inequities, and gentrification issues that characterized the first three years of a two-way, 50–50 Spanish-English dual-language (DL) program’s implementation, and how the DL staff addressed the challenges, inequities, and gentrification issues. Examples of strengths were a balanced Spanish-English instructional schedule, literacy materials in Spanish and English, and the presence of translanguaging. Some challenges were the required use of instructional reading materials and English report cards employed with the district’s monolingual English-speaking students, and finding time to teach literacy in both languages. Several initial gentrification issues were allowing more students from English-speaking families to enroll in the DL program than students from Spanish-speaking families and not providing Spanish report cards. Although the DL personnel resolved some of the inequities and gentrification issues, the district’s actions and policies undermined the DL program’s bilingual and biliteracy goals. The English-dominant students were privileged compared to the Spanish-dominant students, and the DL students’ English performance was prioritized over their Spanish performance. The importance of working with district staff to develop political and ideological clarity along with educational and research implications are highlighted.
Social Inclusion Beyond Education and Work: Migrants Meaning‐Making Towards Social Inclusion

In public discourse, the social inclusion of migrants is often regarded as a challenge demanding migrants to increase their engagement in adapting to the new host country. Such imaginaries commonly declare migrants as being unwilling to acquire language skills and specific cultural values. In parallel, formal education is often proposed as the single most important remedy to inclusion, which generally solely implies labor market participation. However, there is a range of other, often neglected, practices that migrants themselves regard as important for their social inclusion in society. This article aims to analyze what practices are assigned meaning by newly arrived migrants in Sweden on their path toward social inclusion in the country. This is a longitudinal interview study with 19 newly arrived adult migrants that were interviewed on two occasions, three years apart. Drawing on a sociocultural perspective, we understand social inclusion as an ongoing process by which individuals become members of different communities. The result shows that important for social inclusion is access to valuable relationships and close social ties. These relations are important in all communities in which the migrants participate. The analysis illustrates three different communities, outside of formal education and employment, that migrants ascribe meaning to concerning language learning and social inclusion. These communities are sports, internships, and civil society engagements. Through its longitudinal design, this study also illustrates how migrants’ narratives and their meanings shift with time and how migrants relate to these communities over time.
Multi-label Learning Based on Kernel Extreme Learning Machine

In recent years, with the increase of data scale, multi-label learning with large scale class labels has turned out to be the research hotspots. Due to the huge solution space, the problem becomes more complex. Therefore, we propose a multi-label algorithm based on kernel learning machine in this paper. Besides, the Cholesky matrix decomposition inverse method is adopted to calculate the network output weight of the kernel extreme learning machine. In particular, in terms of large matrix inverse problem, the large matrix is divided into small matrices for parallel computation through using matrix block method. Compared with several state-of -the-art algorithms on several benchmark data sets, results of the experiments show that the proposed algorithm makes a better performance with large scale class labels.
Smart Window Based on Electric Unfolding of Microwrinkled TiO2 Nanometric Films

Flat glass is clear while frosted glass with a microrough surface appears translucent by light scattering. Motivated by this optical surface scatterer, a transparent soft media with electrically tunable surface roughness could make a low-cost smart window. Recently, a dielectric elastomer actuator with microwrinkled transparent compliant electrodes was proposed to make such a smart window, but its active microwrinkled area occupied only a small fraction of the window device, as it needs room for large-strain unfolding. To solve this issue, this paper first shows transparent-to-translucent switching by a low-strain-induced microwrinkling and the reverse by electric-field-induced unfolding. This is possible by using an electrically tunable optical surface scatterer that consists of a TiO2 nanometric thin film of high modulus and high refractive index that is sandwiched between a nanometric conductive overcoat of transparent conductive polymer, that is, poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate).
Subspace-based Localization Approach for Near-field Source in Impulse Noise Environment

In this paper, we propose a subspace-based matching (SBM) approach based on fractional lower order moment (FLOM) matrix to estimate the location of near-field acoustic signals in additive nonGaussian impulsive noise environment. By matching the subspace in the fingerprint database and the subspace computed from the current received signals, we associate the received signal with its transmission location with high accuracy. The proposed algorithm has two advantages: firstly, it can locate multiple sources without estimating bearing and range of sources. Secondly, it is more robust to multipath, environment changing and noise level. The simulation results show the efficacy of our proposed algorithm.
Optimisation de formes et problèmes spectraux

Nous etudions dans cette these des problemes d'optimisation de formes associes a des fonctionnelles spectrales et geometriques. L’etude porte a la fois sur des points de vue theoriques et numeriques. L’idee generale est ici de proposer des resultats de Gamma-convergence qui permettent de construire des approximations numeriques pour des quantites que l'on cherche a optimiser. En particulier, ces methodes numeriques sont appliquees a l’etude des minimiseurs des valeurs propres de l’operateur Laplacien-Diriclet sous contrainte de perimetre en dimension deux et trois. Une autre classe de problemes traites concerne les problemes multiphasiques et les partitions optimales dans le plan et sur des surfaces tri-dimensionnelles.On presente aussi une analyse du spectre de l’operateur Steklov en rapport avec differentes classes geometriques de domaines. Une partie de cette analyse concerne le probleme de l'existence de domaines extremaux et la stabilite spectrale sous perturbations geometriques. Une deuxieme partie de l’etude est liee au developpement des methodes basees sur des solutions fondamentales qui permettent d’evaluer numeriquement le spectre d'un operateur. Une analyse detaillee de la methode numerique montre qu'on obtient une precision de calcul importante et une economie en temps d’execution significative par rapport aux methodes utilisant des maillages. Cette approche est etendue au calcul du spectre des operateurs de Wentzell et de Laplace-Beltrami.
Pengelolaan Sumberdaya Ikan Kakap Putih (Lates calcarifer, Bloch, 1790) Berdasarkan Karakter DNA Mitokondria di Perairan Pesisir Kabupaten Merauke

Barramundi (Lates calcarifer, Bloch, 1790) also known as barramundi has high commercially important. Its utilization is not limited to meat, but also the swim bladder it produces. Knowledge of the genetic aspects of barramundi (Lates calcarifer, Bloch, 1790) is very important in designing genetic improvement and conservation activities for this fish. The purpose of this study was to identify the species of barramundi collected from Pesisir Pantai Payum, Merauke Regency using the Cytochrome Oxidase I gene. DNA extraction used the Blood & Tissue Kit (Qiagen Kit), while the primers used for molecular identificationthe primers were FISH-F1 (5’- TCA ACC AAC CAC AAA GAC ATT GGC AC -3’) and FISH-R1 (5’- TAG ACT TCT GGG TGG CCA AAG AAT CA -3’). The results of this study indicated that the samples collected were barramundi species (Lates calcarifer, Bloch, 1790) with a similarity of 99.61-100% with 9 point mutations. Genetic distance and the level of similarity of DNA sequences greatly determine the formation of a phylogenetic tree. Molecular approaches can be used in the management and conservation of economically important fish species, especially barramundi (Lates calcarifer, Bloch, 1790).
Tonal Noise Prediction of a Modern Turbofan Engine With Large Upstream and Downstream Distortion

Ultra-high bypass ratio (UHBR) engines are designed as compact as possible and are characterized by a short asymmetric air inlet and heterogeneous outlet guide vanes (OGVs). The flow close to the fan is therefore circumferentially nonuniform (or distorted) and the resulting noise might be impacted. This is studied here at take-off conditions by means of a simulation of the unsteady Reynolds-averaged Navier–Stokes (URANS) equations of a full-annulus fan stage. The model includes an asymmetric air inlet, a fan, heterogeneous OGVs, and homogeneous inlet guide vanes (IGVs). Direct acoustic predictions are given for both inlet and aft noises. A novel hydrodynamic/acoustic splitting method based on a modal decomposition is developed and is applied for the aft noise analysis. The noise mechanisms that are generally considered (i.e., interaction of fan-blade wakes with OGVs and fan self-noise) are shown to be impacted by the distortion. In addition, new sources caused by the interaction between the stationary distortion and the fan blades appear and contribute to the inlet noise.
Modélisation microscopique pour l'astrophysique Microscopic modeling for astrophysics

In this manuscript, some relations between theoretical nuclear physics and compact stars, which are known to be excellent tools to test matter under extreme conditions, are studied. Most of these links are performed within theoretical modelling which are used to describe both nuclei and nuclear systems in astrophysics. Self-consistent approaches unifying the description of isolated nuclei, dilute nuclei in a gas of light particles, and uniform matter, are presented in this manuscript and employed to understand the physics of compact stars. The manuscript is organized as follow: The first chapter is a general introduction to impact stars and supernovae physics, as well as to nuclear physics. In the second chapter, various aspects of the modeling of the in-medium nucleon-nucleon interaction are presented, such as, extension of the Skyrme interaction in the spin and spin-isospin channels, the properties of the V(low k) interaction and the low-density properties of nuclear matter. In the third chapter, the superfluid properties of dense matter are investigated, either through an iso-vector pairing interaction design to reproduce microscopic calculations in nuclear matter, or through the impact of superfluidity on derivatives of the EOS, such as the incompressibility and the symmetry energy, and finally, is presented the use of pairing vibration to study the properties of pairing. The questions of the in-medium effective mass and its impact for the dynamics of core-collapse supernovae, and the level density in nuclei are presented in the chapter 4. The microscopic modelling of the crust of neutron stars, as derived from band theory, and including superfluidity, is shown in chapter 5. In chapter 6, some links between the properties of nuclei, and neutron stars are presented: the properties of overflowing nuclei at the neutron drip, the correlation between the curst-core properties and nuclear empirical quantities, and the stiffness of the nuclear EOS, are shown. Finally, conclusions are presented in chapter 7.
Questionnaire-based analysis of autism spectrum disorders and gastrointestinal symptoms in children and adolescents: a systematic review and meta-analysis

Background Gastrointestinal (GI) symptoms are frequently experienced by children with autism spectrum disorder (ASD), and these symptoms cause difficulties for these children and their families. However, studies of GI symptom prevalence differ significantly. This meta-analysis aimed to analyze the prevalence of GI symptoms in children with ASD. Methods and findings PubMed, Scopus, Web of Science, EMBASE were electronically searched to collect all literature on gastrointestinal symptoms of children with ASD collected through questionnaires or scales from January 2012 to May 2021. Four researchers independently scanned the literature and extracted information on general characteristics. First author name, year of publication, geographical location, type of study, sample sizes of ASD and control (if any) children, sex and average age, number of GI cases, number of GI symptoms, GI assessment tools (gastrointestinal symptoms scale), autism diagnosis methods, and other necessary data were collected and analyzed using Stata V16. The questionnaires included the Rome, 6-GSI, GIQ, GSRS, GSIQ, ADI-R, PedsQL-GI, parent-report, GI-related, and self-administered questionnaires. Compared with typically developing (TD) children, the odds ratio for In children with ASD with at least one GI symptom was 3.64, and the total prevalence was 55%. The cumulative prevalence rates of various symptoms were summarized, showing that 37% of children with ASD had constipation, 21% had abdominal pain, 19% had diarrhea, 8% had vomiting, and 23% had abdominal distension. Conclusions The results of this meta-analysis on GI symptoms in ASD show that patients with ASD are more likely to develop symptoms than TD children. The prevalence of GI symptoms in In children with ASD was 55%. Systematic Review Registration www.crd. york.ac. uk/PROSPERO, identifier, #CRD42017080579.
Three‐way recommendation integrating global and local information

The matrix factorisation approach computes a low-rank approximation of the incomplete user-item rating matrix. Existing approaches suffer from under-fitting due to the use of global information for all users and items. In this study, the authors propose a three-way recommendation model that integrates global and local information. This new model has a number of main aspects. The first is rating prediction with global and local information. A clustering and two matrix factorisation algorithms are employed for this purpose. The second is the computation of recommendation thresholds based on the decision-theoretic rough set model. Misclassification and promotion costs are considered simultaneously to build the cost matrix. The last is the determination of the recommender actions based on the prediction and thresholds. Experimental results on the well-known datasets show that authors’ proposed model improves recommendation quality in terms of average cost.
Color shading, color fastness, antibacterial and ultraviolet protection properties of silk fabric colored by silver nanoparticles

This research studied the effects of different factors used in an in-situ method for forming colored silver nanoparticles (AgNP) on the properties of silk fabric; namely color shading, color strength, relative unlevelness index, color fastness to washing, antibacterial and UV shielding properties. In addition, improvement with an acrylic binder on color fastness to washing and antibacterial property after 20 cycles of washing of AgNP-treated silk fabric were also investigated. It was found that the optimum condition for treatment by the in-situ method was 2.0% owf of silver nitrate (AgNO3) solution, AgNO3 to trisodium citrate ratio at 1:3 (%w/w), exhaustion temperature at 90°C and treatment time at 90 or 120 min at pH 4.0. The higher concentration of those two factors, the higher the dark brown shade on the AgNP-treated silk fabrics. AgNP-treated silk fabric had a better UV protection than that of the pristine silk fabric. After 20 washes, the color fastness to washing of AgNP-treated silk fabric either with or without acrylic binder coating was rated low. Antibacterial activity against S. aureus of AgNP-treated silk fabric without coating acrylic binder decreased to 40% of bacterial reduction, but AgNP-treated silk fabric coated with acrylic binder still had 100% antibacterial property.
Surface Heterogeneity Affects Adsorption Selectivity for CO2 Over CH4 in Bare Mesostructured Silica with 2D Hexagonal Symmetry and Different Pore Size

Mesoporous silica‐based materials are used as sorbents and supports in many fields. The ordered pore architecture of MCM‐41, and the absence of interconnections, make it suitable as a model system. The surface is natively functionalized by many silanol groups, endowing the material with a polar surface to directly interact with the target species or to mount additional functional groups. Either bare or functionalized, surface silanol arrangement is crucial to material performance. In the case of CO2 capture with amine‐functionalized silica, silanol groups are responsible for fundamental H‐bonds during chemisorption, but they also modulate the effect and weight of humidity on the material performance. In addition, the silanol groups can also tune the weight of physisorption over chemisorption. The relationship between these aspects and the textural features of mesostructured silica has not been addressed in detail. In this study, computer models are employed to investigate the adsorption capacity and selectivity of bare mesostructured silica with three different pore sizes. Results are rationalized in terms of silanol surface density and pore curvature. The importance of the energetic inequivalence between Q3 and Q2 sites on the silica surface is emphasized, as this causes adsorption behavior to deviate from ideality.
Large Magnetoresistance and Magnetic Field Induced Strain in Ni42.8Co7.7Mn38.8Al10.7 Heusler Alloy at Room Temperature

Large magnetoresistance and large magnetic field induced strain are observed in polycrystalline Ni42.8Co7. 7Mn38.8Al10. 7 Heusler alloy. The martensitic transformation from ferromagnetic austenite to weak‐magnetic martensite is realized in the alloy around the room temperature. A magentoresistance of −45% and magnetic field induced strain up to −500 ppm are observed under the magnetic field of 90 kOe. The evolution of the topography and magnetic domain is measured by magnetic force microscopy under different magnetic fields. Dramatic changes in magnetic domain structures are observed and discussed in the martensitic transformation process. The magnetic field induced reverse martensitic transformation should account for the large magnetoresistance and magnetic field induced strain. The results indicate the potential application of Ni42.8Co7. 7Mn38.8Al10. 7 alloy in magnetic multifunctional materials.
Monitoring water level changes from retracked Jason-2 altimetry data: a case study in the Yangtze River, China

ABSTRACT Although initially designed and developed for studying large-scale open ocean dynamics, radar altimetry has proven to have the potential for monitoring coastal and inland water-level changes. However, for rough and heterogeneously reflecting surface, the shape of a waveform contains multiple peaks and traditional retracking methods do not perform well. In this study, we proposed a novel Multi-subwaveform Multi-weight Threshold Retracker (MSMWTR) method, which was applied to Jason-2 waveforms over the Yangtze River (about 1.70 km wide) during 2008–2015. Several traditional waveform retracking algorithms, including Ice-1, offset centre of gravity (OCOG) and 50% Threshold algorithms, were also used to compute water levels. By comparing retracked water levels with nearby Hankou daily gauge records, the results show that the proposed MSMWTR method can significantly improve the accuracy of the estimated water levels compared with other retrackers, especially in the dry season. After applying the MSMWTR algorithm, the root mean square of the errors decreased significantly from 9.06 to 0.34 m. The new method can significantly broaden the application of radar altimeter over relatively wide rivers.