Miracle-dz/UniFAR-FTUs huggingface dataset:
Sparsely restricted penalized estimators

Abstract Parameters of a linear regression model might be estimated with Ordinary Least Squares (OLS). If there are linear restrictions on model parameters, it is possible to use Restricted Least Squares (RLS). Both OLS and RLS fail when the number of predictors is large and not suitable for model selection in a sparse model. In contrast to OLS and RLS, Least Absolute Shrinkage and Selection Operator (LASSO) and Bridge estimators perform well in sparse models and can be used for model selection and estimation, simultaneously. A Restricted LASSO (RLASSO) estimator is proposed in the literature recently but it doesn’t provide sparse solutions. In this paper, we propose new sparsely restricted penalized estimators called Sparsely Restricted LASSO (SRL) and Sparsely Restricted Bridge (SRB) based on RLASSO and Restricted Bridge (RBridge). We show that SRL and SRB produces sparse solutions while satisfying restrictions of model parameters. We compare aforementioned estimators with Monte Carlo simulations. We also use prostate cancer dataset that is widely used in the literature for a numerical application. Our comparisons show that SRL and SRB outperform the remaining estimators in terms of model selection performance and mean squared error.
PENGARUH KUALITAS PELAYANAN DAN HARGA TERHADAP KEPUASAN KONSUMEN(Survey Pada Konsumen Bebeke Om Aris Dipatiukur Bandung

i ABSTRAK Manajemen pemasaran merupakan seni dan ilmu untuk memilih pasar sasaran dan meraih, mempertahankan, serta menumbuhkan pelanggan dengan mencipatakan, menghantarkan, dan mengkomunikasikan nilai pelanggan yang unggul. Tujuan penelitian ini adalah untuk mengetahui pengaruh kualitas pelayanan dan harga terhadap kepuasan konsumen pada Bebeke Om Aris. Analisis data yang digunakan dalam penilitian ini yaitu data primer dan sekunder. Teknik pengumpulan data yang digunakan yaitu dengan membagikan kuesioner kepada 73 responden dari populasi 1.644 konsumen Bebeke Om Aris. Sedangkan teknik sampling yang digunakan untuk menghitung besarnya pengaruh ukuran sampel adalah non probability sampling dengan metode incidental. Berdasarkan hasil penelitian dengan menggunakan metode analisis regresi linier berganda, uji validitas, uji reliabilitas, analisis korelasi berganda, koefisien determinasi, uji hipotesis simultan dan uji hipotesis parsial. Dan hasil penelitian menunjukan bahwa terdapat pengaruh positif dan signifikan antara kualitas pelayanan dan harga terhadap kepuasan konsumen secara simultan. Sesuai dengan perhitungan statistic kualitas pelayanan dan harga memberikan kontribusi terhadap kepuasan konsumen pada Bebeke Om Aris sebesar 59,9% sedangkan sisanya sebesar 40,1% merupakan pengaruh dari variabel lain yang tidak diteliti. Kata kunci: Kualitas Pelayanan, Harga, dan Kepuasan Konsumen,
Combining ability analysis for yield and its components in bread wheat (Triticum aestivum L.)

Combining ability was analyzed using a line × tester (8 × 4) analysis in bread wheat (Triticum aestivum L.). Combining ability analysis, revealed the importance of both additive as well as non-additive genetic variances for control of various traits. The potence ratio (σ2gca/σ2sca) suggested the preponderance of additive gene actions for number of effective tillers per plant, length of main spike, number of spikelets per main spike, number of grains per main spike and 100-grain weight and non-additive gene actions for rest of the traits. Parent MP 3288 was the best general combiner, whereas crosses MP 3288 × GW 496 and MP 3288 × GW 366 were found to be the best specific combiners for grain yield per plant and some of the yield contributing traits. However, on the basis of per se performance and significant SCA effects for grain yield per plant and some of its important components, hybrids MP 3288 x GW 366, MP 3288 x HI 1544 and GW 173 x GW 451 were considered to be the most promising for further exploitation in breeding programmes.
An adjusted behavior-based safety program with the observation by front-line workers for mitigating construction accident rate

ABSTRACT Behavior-Based Safety (BBS) has been considered as a useful tool for safety management. In prior applications, workers’ behaviors have been observed by third-party consultants or senior safety personnel. Under their observations, workers will perform safe behaviors to avoid punishment; but once they are without supervision, they will quickly return to bad habits. Hence, this paper aims to introduce an adjusted BBS observation program in which the observation is made by the front-line workers. By this strategy, observation could be less conspicuous and continually deepen observers’ safety awareness meanwhile. Also, this paper presents regression analyses based on the data from 18 projects which have accumulated a total of 199,296 observations. The results show the higher the Amount of Recorded Unsafe Behaviors (ARUB) on a project, the lower the Total Recordable Case Rate (TRCR) of the project. According to this result, for projects with remarkably low ARUB, the company should conduct random safety audits to verify the implementation of this adjusted BBS observation program to ensure this program works effectively. In conclusion, the authors propose that the adjusted BBS observation program could be an additional leading indicator to reduce occupational construction accidents.
PERFIL DOS PACIENTES COM NECESSIDADES ESPECIAIS DE UMA CLÍNICA DE ODONTOPEDIATRIA Profile of special needs patients at a pediatric dentistry clinic

RESUMO Objetivo: Avaliar o perfil dos Pacientes com Necessidades Especiais atendidos na Clinica de Odontopediatria da Faculdade de Odontologia da Universidade Federal do Para. Metodos: Estudo observacional descritivo, realizado no periodo de marco de 2007 a dezembro de 2009, analisando 137 prontuarios, dos quais se extrairam os seguintes dados: genero, idade, procedencia, historia medica atual e pregressa, tipo de necessidades especiais e principais doencas bucais. Aplicou-se a estatistica descritiva, tabela unidimensional de frequencia e elaboraram-se graficos dos resultados. Resultados: Encontraram-se 77 (56,2%) pacientes do genero masculino, com media de idade de 8,1 anos; 118 (86,2%) residentes na capital do Estado do Para; 21 (15,3%) com problemas respiratorios; 37 (27,3%) com alguma alergia a medicamentos e 54 (39,4%) fazendo uso de medicamento controlado. Quanto ao tipo de necessidade especial, verificou-se que 29 (28,3%) apresentaram atraso no desenvolvimento neuropsicomotor, e a principal doenca bucal encontrada foi a carie, atingindo 84 (61,3%) individuos. Conclusao: O perfil avaliado dos pacientes com necessidades especiais caracteriza-se por pacientes residentes na capital do Estado do Para, predominância de criancas do sexo masculino, portadores de atraso de desenvolvimento neuropsicomotor, com idade media de 8,1 anos, apresentando, principalmente, carie. Descritores: Perfil Epidemiologico; Odontopediatria; Pessoas com Necessidades Especiais.
“GRAND MULTI PARITY STILL AND OBSTETRIC CHALLENGE”- A CLINICAL STUDY OF GRAND MULTI PARA IN A TERTIARY CARE CENTER

AIMS: This study aimed to find out prevalence of grand multipara, reasons for current pregnancy, knowledge and use of family planning methods, maternal and perinatal outcome in grand multipara. MATERIALS AND METHODS: The study was conducted in Department of Obstetrics and gynecology, Tertiary care centre, Bhopal during 1 year period from 1st March 2011 to 28th February 2012. It is a hospital based clinical prospective study. RESULTS: In study period 327 grand multiparous women admitted out of total obstetric admission of 13202 at Tertiary care centre, Bhopal. The prevalence of grand multiparity was 2.47%. Most of grand multipara cases belong to age group between 26-30 years mean age in the study was 30.9 year. Maximum numbers of cases were fourth para 58.4%; ninth para constitutes only 0.6%. Maximum number of cases 61% belonged to rural areas. Booked cases were only 25% and referred cases were 65%. Most of the grand multipara i.e. 91% belonged to low socioeconomic class. About 37.3% of grand multipara were illiterate. Anaemia is the most common maternal complication i.e. 36.1%. Hypertensive disorder of pregnancy is the 2nd most common (22.9%) complication. Other complications includes IUFD (14.2%), Abruptio placentae (12.6%), malpresentation (11.1%), post partum haemorrhage (10%) preterm labour (5.9%), Placenta previa (5.1%) In this study rate of caesarean section is 21% and most common indications found were foetal distress (33.3%). Rupture uterus (1.9%) was an outstanding hazard is grand multipara. Perinatal mortality was more in grand multiparous women than in lesser parity group. CONCLUSION: Grand multipara constitutes one category of high risk pregnancies Maternal and fetal mortality and morbidity increases with parity. The Grand multiparity a high risk pregnancy and its complication can be prevented by strengthening of referral services, by providing Logistic solution to communication and transport problems, Health Education to mothers and implementing compulsory family planning programme.
Laminar–turbulent transition in channel flow with superhydrophobic surfaces modelled as a partial slip wall

Superhydrophobic surfaces are capable of trapping gas pockets within the micro-roughnesses on their surfaces when submerged in a liquid, with the overall effect of lubricating the flow on top of them. These bio-inspired surfaces have proven to be capable of dramatically reducing skin friction of the overlying flow in both laminar and turbulent regimes. However, their effect in transitional conditions, in which the flow evolution strongly depends on the initial conditions, has still not been deeply investigated. In this work the influence of superhydrophobic surfaces on several scenarios of laminar–turbulent transition in channel flow is studied by means of direct numerical simulations. A single phase incompressible flow has been considered and the effect of the micro-structured superhydrophobic surfaces has been modelled imposing a slip condition with given slip length at both walls. The evolution from laminar, to transitional, to fully developed turbulent flow has been followed starting from several different initial conditions. When modal disturbances issued from linear stability analyses are used for perturbing the laminar flow, as in supercritical conditions or in the classical K-type transition scenario, superhydrophobic surfaces are able to delay or even avoid the onset of turbulence, leading to a considerable drag reduction. Whereas, when transition is triggered by non-modal mechanisms, as in the optimal or uncontrolled transition scenarios, which are currently observed in noisy environments, these surfaces are totally ineffective for controlling transition. Superhydrophobic surfaces can thus be considered effective for delaying transition only in low-noise environments, where transition is triggered mostly by modal mechanisms.
On Discrete Cosmology, Gravitation and Mechanics

In this paper we will discretely reformulate the main fundamental magnitudes of mechanics and thermodynamics due to a new dynamic, discrete and irreversible nature for Time. The existence of a fundamental minimum time, implies that any physical system can only evolve discreetly according to this minimum time instead of a continuous evolution. Thus, the passage of Time must be considered a fundamental physical process and incorporated into Physics where the laws of Nature depend on a clear distinction between past, present and future. A time interval equals a loss of energy. The introduction of “dark matter”, “dark energy”, “ad hoc modifications of the laws of mechanics” or “fundamental constants varying” will prove to be unnecessary inasmuch as the view here to be developed will not require of a Universe provided with special properties. By considering that Universe can be expressed as the ensemble of N typical particles in motion of mass m, we will find possible solutions to some of the main problems of the current Physics, all from an existing deep connection between gravity, thermodynamics and quantum cosmology.
Connectivity keeping trees in 2‐connected graphs

Mader [J Graph Theory 65 (2010), 61‐69] conjectured that for any tree T of order m , every k ‐connected graph G with minimum degree at least ⌊ 3 k / 2 ⌋ + m − 1 contains a subtree T ′ ≅ T such that G − V ( T ′ ) is k ‐connected. In this paper, we show that for any tree T of order m , every 2‐connected graph G with minimum degree at least max { m + n ( T ) − 3 , m + 2 } contains a subtree T ′ ≅ T such that G − V ( T ′ ) is 2‐connected, where n ( T ) denotes the number of internal vertices of T . Besides, the lower bound on the minimum degree can be improved to max { m + n ( T ) / 4 + 1 / 2 , m + 2 } and m + 2 if T is a caterpillar and a quasi‐monotone caterpillar, respectively. From our results, it follows that Mader's conjecture for 2‐connected graphs is true for any tree T with n ( T ) ≤ 5 , any caterpillar T c with n ( T c ) = 6 , or any quasi‐monotone caterpillar.
A 21st Century View of the March 1989 Magnetic Storm

On 13 March 1989, the largest magnetic storm of the last century caused widespread effects on power systems including a blackout of the Hydro‐Québec system. Since then this event has become the archetypal disturbance for examining the geomagnetic hazard to power systems. However, even 30 years on from 1989, the story of exactly what happened in March 1989 is far from complete. This paper reexamines the information available about the March 1989 event and uses this to construct a timeline and description of the space weather phenomena and how they caused the power system effects. The evidence shows that the disturbance was caused by two coronal mass ejections (CMEs): the first associated with a X4.5 flare on 10 March and the second linked to a M7.3 flare on 12 March. The arrival of the interplanetary CME shock fronts caused storm sudden commencements at 01.27 and 07.43 UT on 13 March. The transit time and speed of the first (second) interplanetary CME shock are 54.5 hr (31.5 hr) and 760 km/s (1,320 km/s). Empirical relations are used to estimate solar wind speed and southward interplanetary magnetic field, Bs, and give values of v = 980 km/s, Bs = 40 to 60 nT at the peak of the storm. Key findings are that the second storm sudden commencement occurred at the same time as the substorm that impacted the Hydro‐Québec system and indicates that external triggering of the substorm may have contributed to a faster substorm onset than might otherwise have occurred. This caused the production of larger geomagnetically induced currents that caused the Hydro‐Québec blackout. The March 1989 storm had the largest recorded value of the Dst index representing the size of the magnetic storm main phase, but the Hydro‐Québec blackout occurred early in the storm when the Dst value was less disturbed. Only later in the storm did Dst reach its peak value. At this time an expansion of the auroral oval brought disturbances to lower latitudes where they caused power system problems in the United States, United Kingdom, and Sweden.
Paraplegia, Quadriplegia and Employment in Australia

The educational and vocational achievements of a sample of Australians with spinal cord injuries are described in this study. Of the 180 working-age people surveyed, 36% were holding full-time or part-time employment at the time of the survey and one-third had gone on to obtain further qualifications post-injury. The most frequent methods of finding a job post-injury were informal rather than formal, with only 5% of jobs gained through advertisements or employment services. Of those who gained work, 49% did so within 12 months of discharge, but another 14% obtained their job more than five years after initial hospital discharge. The results indicate that there is considerable scope for employment and education achievements following spinal cord injury.
Policy Extraction via Online Q-Value Distillation

Recently, deep neural networks have been capable of solving complex control tasks in certain challenging environments. However, these deep learning policies continue to be hard to interpret, explain and verify which limits their practical applicability. Decision Trees lend themselves well to explanation and verification tools but are not easy to train especially in an online fashion. The aim of this thesis is to explore online tree construction algorithms and demonstrate the technique and effectiveness of distilling reinforcement learning policies into a Bayesian tree structure. We introduce Q-BSP Trees and an Ordered Sequential Monte Carlo training algorithm that helps condense the Q-function from fully trained Deep Q-Networks into the tree structure. QBSP Forests generate partitioning rules that transparently reconstruct the Value function for all possible states. It convincingly beats performance benchmarks provided by earlier policy distillation methods resulting in performance closest to the original Deep Learning policy.
Coping in mexican adolescents with metabolic syndrome: a qualitative study

This paper describes the daily coping strategies among Mexican adolescents diagnosed with metabolic syndrome (MS). Data were collected through a semi-structured interview, using a phenomenology perspective. Nine adolescents diagnosed with MS aged 12-17 years were recruited from a public hospital in northeastern Mexico. Three thematic categories were obtained in the interview analysis: experiencing an MS diagnosis, adapting to health care and treatment, and decision-making to cope with the disease. Adolescents receiving an MS diagnosis were able to overcome their initial -often negative- experiences, they were motivated to adhere to management and treatment plans with support from health professionals, and they were able to develop adaptive coping strategies. Results indicate that, with support, adolescents could adapt to new prevention, management, and treatment strategies.
I-V characteristics of a piezoelectric semiconductor nanofiber under local tensile/compressive stress

We study the electrical behavior of a piezoelectric semiconductor fiber under local extensional or compressive stress and an applied voltage. A numerical analysis based on a one-dimensional phenomenological model is performed. The current-voltage relation is obtained. It is found that when the applied voltage is below a stress-dependent critical value, no current can flow through the fiber in either direction. When the voltage is above the critical voltage, currents can flow in one direction but not the other. When the voltage is above a second critical value, currents can flow in both directions. Thus, the local stress acts like a switch, which can turn the currents on and off in one or both directions. This provides a basic means for mechanically manipulating the electrical behavior of piezoelectric semiconductor fibers and thus serves as a fundamental element of piezotronics.We study the electrical behavior of a piezoelectric semiconductor fiber under local extensional or compressive stress and an applied voltage. A numerical analysis based on a one-dimensional phenomenological model is performed. The current-voltage relation is obtained. It is found that when the applied voltage is below a stress-dependent critical value, no current can flow through the fiber in either direction. When the voltage is above the critical voltage, currents can flow in one direction but not the other. When the voltage is above a second critical value, currents can flow in both directions. Thus, the local stress acts like a switch, which can turn the currents on and off in one or both directions. This provides a basic means for mechanically manipulating the electrical behavior of piezoelectric semiconductor fibers and thus serves as a fundamental element of piezotronics.
PersLay: A Neural Network Layer for Persistence Diagrams and New Graph Topological Signatures

Persistence diagrams, the most common descriptors of Topological Data Analysis, encode topological properties of data and have already proved pivotal in many different applications of data science. However, since the (metric) space of persistence diagrams is not Hilbert, they end up being difficult inputs for most Machine Learning techniques. To address this concern, several vectorization methods have been put forward that embed persistence diagrams into either finite-dimensional Euclidean space or (implicit) infinite dimensional Hilbert space with kernels. In this work, we focus on persistence diagrams built on top of graphs. Relying on extended persistence theory and the so-called heat kernel signature, we show how graphs can be encoded by (extended) persistence diagrams in a provably stable way. We then propose a general and versatile framework for learning vectorizations of persistence diagrams, which encompasses most of the vectorization techniques used in the literature. We finally showcase the experimental strength of our setup by achieving competitive scores on classification tasks on real-life graph datasets.
Local unstable entropy and local unstable pressure for random partially hyperbolic dynamical systems

Let \begin{document}$ \mathcal{F} $\end{document} be a random partially hyperbolic dynamical system generated by random compositions of a set of \begin{document}$ C^2 $\end{document} -diffeomorphisms. For the unstable foliation, the corresponding local unstable measure-theoretic entropy, local unstable topological entropy and local unstable pressure via the dynamics of \begin{document}$ \mathcal{F} $\end{document} along the unstable foliation are introduced and investigated. And variational principles for local unstable entropy and local unstable pressure are obtained respectively.
Range and Velocity Estimation Using Kernel Maximum Correntropy Based Nonlinear Estimators in Non-Gaussian Clutter

In this article, we propose kernel maximum correntropy based nonlinear estimators for range and velocity estimation in non-Gaussian clutter and system nonlinearity. The proposed estimators are analyzed for linear frequency modulated and stepped frequency radar systems. Additionally, an adaptive update equation is derived for optimization of the kernel width, which further lowers the dictionary size and the variance of the proposed estimators. For performance evaluation of the proposed estimators, an expression is derived for the Cramer–Rao lower bound using a modified Fisher information matrix.
Equivariant Gorenstein Duality

This thesis concerns the study of two flavours of duality that appear in stable homotopy theory and their equivariant reformulations. Concretely, we look at the Gorenstein duality framework introduced by Dwyer, Greenlees and Iyengar and the more classical notion of Anderson duality. We study examples of ring spectra that exhibit these duality phenomena, both non-equivariantly and equivariantly, coming from the ring spectra of topological modular forms. Along the way, connecting the work of Greenlees, Meier and Stojanoska we make contact with Serre duality phenomena that arise in derived algebraic geometry and record an unexpected interlace of Anderson, Gorenstein and Serre duality.