Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Capabilities and Innovative Orientation Towards Business Success in Turbulent Business Environments: The Experience of a Successful Woman Entrepreneur in Sri Lanka

Dynamic capabilities and innovative orientation are crucial for entrepreneurs achieving success in turbulent environments. Increasing number of women entrepreneurs and numerous obstacles face by them enhance the necessity of studying how women entrepreneurs utilize dynamic capabilities and innovative orientation for achieving success in turbulent business environments. This study is a qualitative inquiry of a successful woman entrepreneur in Western Province of Sri Lanka and utilized the narrative analysis by allowing the entrepreneur to share the experiences through the story telling. Business success was captured with her explanations on initial and present level of the business in terms of number of employees, physical facility improvement, market share, foreign markets, product developments and diversification. Environmental sensing & seizing, learning, integration & reconfiguration, and knowledge sharing are the dynamic capabilities that she possessed. Entrepreneurial characteristics including risk taking, need for achievement, tolerance of ambiguity, creativity & innovation, self-confidence & determination, passion, and optimism work as a strong drive for fostering the dynamic capabilities and innovative orientation throughout the success journey of her business. “Knowledge sharing” is recognized as a new dimension of dynamic capability and it affects to enhance business image, open avenue for creating networks with diverse groups in the society and fulfill the CSR requirement that is essential for business survival.
Highly efficient photocatalytic overall water splitting in two-dimensional van der Waals MoS2/Hf2CO2 heterostructure

Two-dimensional (2D) van der Waals (vdW) heterostructures have attracted much attention due to their unique properties in photocatalysis, electronics, and energy storage. This work comprehensively analyzed the electronic properties and photocatalytic efficiency properties of 2D vdW MoS2/Hf2CO2 heterostructure by first-principles calculations and molecular dynamics simulation. An ideal band gap of 1.44 eV was found for visible light absorption. Meanwhile, a high solar-to-hydrogen efficiency of 17.14% is obtained from the calculated band-edge positions, and a high power conversion efficiency of 13.84% is also confirmed by spectroscopy limited maximum efficiency simulation. We estimate the time scale for electron–hole transfer and recombination times using a combination of non-adiabatic molecular dynamics and time-dependent density functional theory. A suitable e-h recombination time of 1.86 ns and electron (hole) transfer time of 331 (978) fs are obtained in the 2D MoS2/Hf2CO2 heterostructure, which is expected to ensure high photocatalytic efficiency. Therefore, the constructed MoS2/Hf2CO2 heterostructures provide a new example for the prediction of high-performance nano optoelectronic devices.
The VLA Nascent Disk and Multiplicity Survey of Perseus Protostars (VANDAM). V. 18 Candidate Disks around Class 0 and I Protostars in the Perseus Molecular Cloud

We present the full disk-fit results VANDAM survey of all Class 0 and I protostars in the Perseus molecular cloud. We have 18 new protostellar disk candidates around Class 0 and I sources, which are well described by a simple, parametrized disk model fit to the 8 mm VLA dust continuum observations. 33% of Class 0 protostars and just 11% of Class I protostars have candidate disks, while 78% of Class 0 and I protostars do not have signs of disks within our 12 au disk diameter resolution limit, indicating that at 8 mm most disks in the Class 0 and I phases are <10 au in radius. These small radii may be a result of surface brightness sensitivity limits. Modeled 8 mm radii are similar to the radii of known Class 0 disks with detected Keplerian rotation. Since our 8 mm data trace a population of larger dust grains that radially drift toward the protostar and are lower limits on true disk sizes, large disks at early times do not seem to be particularly rare. We find statistical evidence that Class 0 and I disks are likely drawn from the same distribution, meaning disk properties may be defined early in the Class 0 phase and do not undergo large changes through the Class I phase. By combining our candidate disk properties with previous polarization observations, we find a qualitative indication that misalignment between inferred envelope-scale magnetic fields and outflows may indicate disks on smaller scales in Class 0 sources.
New Substellar Discoveries from Kepler and K2: Is There a Brown Dwarf Desert?

We present the discoveries of a brown dwarf (BD) and a low-mass star from the Kepler and K2 missions. The newly discovered BD is EPIC 212036875b and the low-mass star is KOI-607b. EPIC 212036875b has a mass of Mb = 52.3 ± 1.9 MJ, a radius of Rb = 0.874 ± 0.017 RJ, and orbits its host star in P = 5.169885 ± 0.000027 days. Its host star is a late F-type star with M⋆ = 1.288 ± 0.065 M⊙, R⋆ = 1.498 ± 0.025 R⊙, and Teff = 6238 ±60 K. KOI-607b has a mass of Mb = 95.1 ± 3.4 MJ, a radius of Rb = 1.089 ± 0.089 RJ, and an orbital period of P = 5.89399148 ± 0.00000060 days. The primary star in the KOI-607 system is a G dwarf with M⋆ =0.993 ± 0.052 M⊙, R⋆ = 0.915 ± 0.031 R⊙, and Teff = 5418 ± 87 K. We also revisit a BD, CWW 89Ab, that was previously published by Nowak et al. (under the designation EPIC 219388192b). CWW 89Ab is one of two known transiting BDs associated with a star cluster, which illustrates the need for more BDs with accurate masses, radii, and reliable age determinations to test theoretical models. We find that the newly discovered BD, EPIC 212036875b, falls in the middle of the so-called BD desert, indicating that EPIC 212036875b is either a particularly rare object, or the BD desert may not be so dry after all.
Sacralization Religion, Power Elite And Leadership: Female Regents In East Java

The involvement of the local Islamic boarding school (Pesantren) elite in a regional head election in East Java becomes the winning determiner. In a direct local election, elite religious roles significantly influence the constituent's vote. The elite utilizes religious hegemony in increasing society's political participation during an election. The era of new religious movement changes the tendencies of the thinking paradigm that, for the first time, women emerge as regional heads. This paper was aimed to analyze the hegemony of the religious elite based on Pesantren in the postmodernism era in regional head elections, especially in East Java. This research used qualitative research with a descriptive perspective and content analysis of qualitative data, which revealed that there is hegemony and patron-client movement of Islamic boarding school (Pesantren) among kyai, students, alumni, sympathizers, and Pesantren communities as a strategy to win regional head. The researcher used the elite theory approach and political participation theory—research data obtained from the library and document analysis from the affiliated institution. The formulation of this problem is how the religious elite hegemony the societies by increasing public participation and convincing voters to vote for women's candidates as governor. The analysis result remarks the hegemony of the religious elite becomes a tool to obtain power in a regional head election because there are significant influences of religious elite functioning giving dogmatize to society through religious routines ritual such as religion speech
A Suite of Incremental Image Degradation Operators for Testing Image Classification Algorithms

: Convolutional Neural Networks (CNN) are extremely popular for modelling sound and images, but they suffer from a lack of robustness that could threaten their usefulness in applications where reliability is important. Recent studies have shown how it is possible to maliciously create adversarial images—those that appear to the human observer as perfect examples of one class but that fool a CNN into assigning them to a different, incorrect class. It takes some effort to make these images as they need to be designed speciﬁcally to fool a given network. In this paper we show that images can be degraded in a number of simple ways that do not need careful design and that would not affect the ability of a human observer, but which cause severe deterioration in the performance of three different CNN models. We call the speed of the deterioration in performance due to incremental degradations in image quality the degradation proﬁle of a model and argue that reporting the degradation proﬁle is as important as reporting performance on clean images.
Structure formation in the Lemaître-Tolman model

Structure formation within the Lema\^{\i}tre-Tolman model is investigated in a general manner. We seek models such that the initial density perturbation within a homogeneous background has a smaller mass than the structure into which it will develop, and the perturbation then accretes more mass during evolution. This is a generalization of the approach taken by Bonnor in 1956. It is proved that any two spherically symmetric density profiles specified on any two constant time slices can be joined by a Lema\^{\i}tre-Tolman evolution, and exact implicit formulas for the arbitrary functions that determine the resulting LT model are obtained. Examples of the process are investigated numerically.
An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data

Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. Even if there exist many algorithms considered as performing, they can suffer in some cases for one or many of the following criteria: global convergence (capacity of an algorithm to converge to the true unknown solution from all starting guesses), numerical stability (ascent property), implementation feasibility (for example, algorithms requiring matrix inversion cannot be implemented when the involved matrices are not invertible), low computation time, low computational complexity, and capacity to handle high dimensional problems. The reality is that, in practice, no algorithm is perfect, and for each problem, it is necessary to find the most performing of all existing algorithms or even develop new ones. In this paper, we consider the computing of the maximum likelihood estimate of the vector parameter of a statistical model of crash frequencies. We split the parameter vector, and we develop a new estimation algorithm using the profile likelihood principle. We provide an automatic starting guess for which convergence and numerical stability are guaranteed. We study the performance of our new algorithm on simulated data by comparing it to some of the most famous and modern optimization algorithms. The results suggest that our proposed algorithm outperforms these algorithms.
Detecting Sunyaev–Zel'dovich clusters with Planck – II. Foreground components and optimized filtering schemes

The Planck mission is the most sensitive all-sky CMB experiment currently planned. The High Frequency Instrument (HFI) will be especially suited to observe clusters of galaxies b y their thermal Sunyaev-Zel’dovich (SZ) effect. In order to assess Planck’s SZ-capabilities in the presence of spurious signals, a simulation is presented that combines maps of the thermal and kinetic SZ-effects with a realisation of the cosmic microwave background (CMB), in addition to Galactic foregrounds (synchrotron emission, f ree-free emission, thermal emission from dust, CO-line radiation) as well as the sub-millimetri c emission from celestial bodies of our Solar system. Additionally, observational issues such as the finite angular resolution and spatially non-uniform instrumental noise of Planck’s sky maps are taken into account, yielding a set of all-sky flux maps, the auto-correlation and cross-co rrelation properties of which are examined in detail. In the second part of the paper, filtering schemes based on scale-adaptive and matched filtering are extended to spherical data sets, th at enable the amplification of the weak SZ-signal in the presence of all contaminations stated above. The theory of scaleadaptive and matched filtering in the framework of spherical maps is developed, the resulting filter kernel shapes are discussed and their functionality i s verified.
Characterization of Rotavirus Infection in Hospitalized Children under 5 with Acute Gastroenteritis 5 Years after Introducing the Rotavirus Vaccines in South Korea

We herein characterized rotavirus infection in hospitalized children under 5 years of age with gastroenteritis after introducing rotavirus vaccines in South Korea from 20 February 2012, to 31 March 2013. Enzyme-linked fluorescent immunoassay was performed to detect rotavirus antigens. G and P genotyping was performed using nested multiplex PCR. For the failed PCR samples, sequencing was conducted. We performed a test-negative case-control study to estimate vaccine effectiveness. Vaccine effectiveness was measured using a multivariate logistic regression model. Rotavirus was detected in 16 (13.2%) of the 121 patients, with a seasonal peak in April 2012. The dominant genotypes detected were G3P[8] (33.3%) and G4P[6] (26.7%), and vaccine effectiveness against rotavirus hospitalization was 84.9% [95% CI: 23.2–97.0] in the complete vaccinated group. A higher prevalence of rotavirus infection was observed among children with siblings than those without siblings (p < 0.001). Also, the presence of siblings was significantly associated with a history of nonvaccination (p < 0.001). In conclusion, the prevalence of rotavirus followed a decreasing trend, and there was no evidence of emergences of nonvaccine-type strains. Vaccine effectiveness against rotavirus hospitalization was 84.9%. Although children with siblings were more susceptible to rotavirus infection, they were less likely to receive vaccination against rotavirus.
Period Domains over Finite and p-adic Fields

Preface Introduction Part I. Period Domains for GLn Over a Finite Field: 1. Filtered vector spaces 2. Period domains for GLn 3. Cohomology of period domains for GLn Part II. Period Domains for Reductive Groups over Finite Fields: 4. Interlude on the Tannakian formalism 5. Filtrations on repk(G) 6. Period domains for reductive groups 7. Cohomology of period domains for reductive groups Part III. Period Domains over p-adic Fields: 8. Period domains over p-adic fields 9. Period domains for p-adic reductive groups 10. Cohomology of period domains over p-adic fields Part IV. Complements: 11. Further aspects of period domains References Index.
Calculating the hadronic vacuum polarization and leading hadronic contribution to the muon anomalous magnetic moment with improved staggered quarks

We present a lattice calculation of the hadronic vacuum polarization and the lowest order hadronic contribution (HLO) to the muon anomalous magnetic moment, a{sub {mu}}=(g-2)/2, using 2+1 flavors of improved staggered fermions. A precise fit to the low-q{sup 2} region of the vacuum polarization is necessary to accurately extract the muon g-2. To obtain this fit, we use staggered chiral perturbation theory, including a model to incorporate the vector particles as resonances, and compare these to polynomial fits to the lattice data. We discuss the fit results and associated systematic uncertainties, paying particular attention to the relative contributions of the pions and vector mesons. Using a single lattice spacing ensemble generated by the MILC Collaboration (a=0.086 fm), light quark masses as small as roughly one-tenth the strange quark mass, and volumes as large as (3.4 fm){sup 3}, we find a{sub {mu}}{sup HLO}=(713{+-}15)x10{sup -10} and (748{+-}21)x10{sup -10} where the error is statistical only and the two values correspond to linear and quadratic extrapolations in the light quark mass, respectively. Considering various systematic uncertainties not eliminated in this study (including a model of vector resonances used to fit the lattice data and the omission of disconnected quark contractions in the vector-vector correlationmore » function), we view this as agreement with the current best calculations using the experimental cross section for e{sup +}e{sup -} annihilation to hadrons (692.4{+-}5.9{+-}2.4)x10{sup -10}, and including the experimental decay rate of the tau lepton to hadrons (711.0{+-}5.0{+-}0.8{+-}2.8)x10{sup -10}. We discuss several ways to improve the current lattice calculation. « less
The Determinants of the Efficiency of Ivorian Commercial Banks: A Study Using the Non-Parametric Approach

The objective of this study is to analyze the determinants of banking efficiency in Côte d'Ivoire. To achieve this objective, we used annual data covering the period from 2004 to 2017, for fifteen Ivorian banks. Methodologically, we first used the non-parametric data envelopment analysis (DEA) method to determine the efficiency scores. The results show that Ivorian banks are technically inefficient. Second, we used a Tobit model to identify the determinants of bank efficiency. The Tobit regression identifies return on equity, regulatory capital, size, and credit as the main determinants of the technical efficiency of Ivorian banks. In addition, bank liquidity and ownership, GDP growth rate, and inflation are sources of inefficiency in Ivorian banks. The study recommends that banks manage their resources rationally to finance the economy efficiently. At the level of the monetary authorities, they should ensure that banks apply regulatory standards.
Production of Cocoa Pulp Syrup by Utilizing Local Sugar Sources

The pulp of the cocoa fruit still has not economically viable yet. Its potency to be processed into fruit syrup is expected to increase its value added. Local sugar from palm and canes is still traditionally utilized to produce brown sugar. This study aimed to make fruit syrup by utilizing cocoa pulp and local sugar sources in West Sumatra with several variants (palm sugar, sugarcane, and market white sugar). The effects of sugar concentration on the quality of the syrup were also studied. Sensory evaluation by the hedonic method was performed and statistical analysis data were carried out using SPSS. Microbiological analysis and shelf-life testing also have been done. The results of this study showed that respondents preferred syrup with palm sugar to sugarcane because of its light brown color and distinctive sweetness. The microbiological test reported that the syrup could only be consumed for less than the 5th day in a sealed glass bottle if it was placed at room temperature. Meanwhile, the syrup placed in the refrigerator (5 0C) could keep until the 5th day
Pengaruh Kegiatan Menganyam terhadap Kemampuan Motorik Halus Anak Usia Dini

This study aims to determine the effect of weaving activities on the fine motor skills of children in group B at Barokah Gading Early Childhood Education. This type of research is a Pre-Experimental research with the type of One-Group Pretest-Posttest Design by providing treatment using weaving activities in children, then comparing fine motor skills in children before and after being given weaving activities. The method used in collecting research data is through a checklist observation sheet. The research data analysis method is t-test. The study population was all 15 children in group B and 15 children in group B as samples. The results showed that there was an effect of weaving activities on the fine motor skills of children in group B in PAUD Barokah Gading. This is evident from the results of the calculation of the hypothesis, based on the calculations obtained from the posttest test results of the normality of the data, these variances are homogeneous. Then the normality test of the homogeneity data was carried out and it was stated that the data was normally distributed and the variance of this study was homogeneous, then hypothesis testing was carried out from the results of the t-test calculation above, the value of tcount > ttable or 19.659 > 2.145 was rejected. the effect of weaving activities on the fine motor skills of group B children in PAUD Barokah Gading.
Implementation of Ethnomathematics in Mathematics Learning Videos for First Grade of Elementary School

Learning media used to support the learning process during the Covid-19 pandemic for grade I elementary school students is still unavailable, resulting in the learning process and students' understanding of learning, especially the content of mathematics material, is not optimal. The better the learning media, the better the student's competence. This study aims to create and determine the feasibility of ethnomathematics-based mathematics learning video media on the content of the solid geometry material. This study used the ADDIE development model using data collection methods: questionnaire, observation, and unstructured interviews. The method of data analysis used is descriptive qualitative and descriptive quantitative. The subjects of this research are material experts, design experts, and learning media experts, and the test subjects are first-grade elementary school students. Development research results are product design for ethnomathematics-based mathematics learning media and the feasibility of instructional video media. Mathematics based on the results of the assessment of learning material expert (93.75%), learning design expert (100%), learning media expert (95%), individual trial (92.36%), and a small group trial (93.05%). So, the ethnomathematics-based mathematics learning video introducing geometry material for first-grade elementary school students is feasible to use and can improve student competence. This research implies that students can learn mathematics using learning videos independently, meaningfully, and fun, and motivate teachers to develop various learning media.
Learning From COVID-19

People’s lives have been severely disrupted by COVID-19, with high numbers in hospitals and many deaths after the initial outbreak in China. If the efforts of many statistics educators were fulfilled to increase the number of statistically literate citizens who can make evidence-based decisions based on accurate data, we may have had lower infection and death rates. Unfortunately, the data is rather unreliable, especially with the use of self-testing and reporting. In this paper, we assert that statistics requires context to quantify risk. We present data and a summary of developments in Australia and England with the hope that case studies can be developed for students to understand risk better.
A new method with integration of matching and decoupling for MIMO antenna applications

A novel design concept of multiple‐input and multiple‐output (MIMO) antenna with aiming to improve matching and port isolation at the same time is proposed. As the only additional component, a cross resonator is connected between the two patch antennas. The equivalent circuit model and calculation formula of resonant frequency of cross resonator in differential mode (DM) and common mode (CM) state are given, respectively. The same resonant frequency in the two states is the goal to want, and which is proved to be achievable by the relevant expression. Then, the two port antenna system can obtain good matching and high isolation. The coincidence between simulation and measured results brings the possibility of practical implementation.