Miracle-dz/UniFAR-FTUs huggingface dataset:
Factors Affecting Parents' Satisfaction with the Quality of Preschool Educational Services

For many researchers, satisfaction is a perennially popular research topic, with satisfaction in education being one of the most prevalent aspects. There are a few previous studies that have looked into the satisfaction of parents and students with their high school and college experiences. However, research on parental satisfaction with preschool education is limited, particularly in Vietnam. The purpose of this study was to determine the factors that influenced parents' satisfaction with their children's preschool education. A total of 511 parents in Danang agreed to take part in the study. In this study, multi-regression analysis was carried out to find out relations between response to information, teachers, and educational programs; financial costs; facilities, equipment, and supplies; care and support; and parents' satisfaction. It was found that a majority of participants expressed satisfaction with the quality of preschool education and showed their willingness to pay for it. The most influential factor affecting parents' satisfaction was identified as facilities, including other factors such as response to information, teachers, and educational programs; financial costs; care and support discussed in detail. Future research may build on the findings of this study and investigate additional factors such as practical and convenience factors or a measure of average classroom learning gains that may have an impact on the satisfaction of parents.
Diversity in Studies Developing Kidney Function Estimating Equations: Improving Representation, Interpretation, and Utility of Clinical Research.

Efforts to reassess the inclusion of race in kidney function estimating equations led to momentous action that included a National Kidney Foundation and American Society of Nephrology Task Force recommendation for a unifying approach to the estimation of glomerular filtration rate (GFR) through the implementation of the CKD-EPI creatinine and creatinine–cystatin C equations refit without the race variable in a population with 30%-40% Black persons. Compared to the Cockcroft-Gault formula, a major strength of modern estimating equations, including the Modification of Diet and Renal Disease (MDRD) Study and 2009 CKD-EPI creatinine (herein CKD-EPI2009) equations, is improved diversity of the study populations. Still, it is unclear what drove the non-GFR determinants of higher serum creatinine levels in US Black versus White persons observed during CKD-EPI2009 development and whether the dataset assembled for equation creation (which was also used to develop the new refit CKD-EPI creatinine equation) achieved ideal representation of the US population.
Affine-Projection-Like Maximum Correntropy Criteria Algorithm for Robust Active Noise Control

Impulse noise (IN) can seriously degrade the performance of conventional active noise control (ANC) algorithms. Here, we present a novel feedforward ANC algorithm based on an information-theoretic learning framework with the data-reuse scheme of affine-projection-based algorithms. Inspired by the maximum correntropy criterion (MCC), the proposed algorithm is referred to as the modified filtered-x affine-projection-like MCC (MFxAPLMCC). Furthermore, we developed an objective function to maximize the correntropy between the system's desired vectors and the secondary path's output vectors to enhance robustness. Moreover, linear approximation reduces computational complexity, and the optimal step size is derived mathematically to accelerate convergence and increase the noise reduction ratio. The MFxAPLMCC algorithm was thoroughly evaluated in terms of stability and computational complexity; numerical simulations were used to confirm the effectiveness in terms of average noise reduction. The efficiency of our method was verified using three types of input: (1) symmetric alpha-stable (S $\alpha$ S) IN, (2) a mixture of sinusoidal and IN, and (3) in-vehicle engine acceleration noise. We also verified the tracking capability of the adaptive algorithm for a case in which the primary path changes abruptly. Furthermore, the real measured acoustic path for ANC in-ear headphone development was used to validate the proposed method in real environments. The proposed algorithm significantly outperformed comparative ANC algorithms in convergence rate and noise reduction ratio. We also confirmed that the theoretical bound for stable step size coincides with the numerical results. The parameter sensitivity of the MFxAPLMCC was analyzed as well.
Electron Beam Surface Hardening

The surface hardening of steel components makes it possible to achieve high abrasive wear resistance without the necessity of hardening the entire cross-section of a given element. As a result, lower stress are introduced and the cost of the process can be reduced. Because of very high heating rates (of up to 10⁹ K/s) as well as the ease of dynamic deflection and focusing, the use of the electron beam to harden component surfaces enables the obtainment of surface layers characterised by required properties. This article constitutes an overview of publications concerning electron beam-based surface hardening.
Employees’ and Students’ Attitudes of Business Process Orientation Usefulness in Croatia

Considering the growing competition in the market, each com­pany strives to operate in accordance with the time in which it exists and following modern techniques of business system management. One of such techniques is manifested in designing and managing business processes in organizations. The authors investigated two groups of respondents. The first group consists of employees of different organizations in Croatia. The second group of respondents are students of higher years of economic fac­ulties in Croatia. The perception of these two groups on the importance of the company’s business process orientation was examined. The two groups were examined for an overview of the current situation with the help of em­ployees and the future through the prism of future employees – current stu­dents. This paper aims to assume future trends of BPO use in organizations taking into account the perception of the participants surveyed.
A physical model of tropical cyclone central pressure filling at landfall

We derive a simple physically based analytic model which describes the pressure filling of a tropical cyclone (TC) over land. Starting from the axisymmetric mass continuity equation in cylindrical coordinates we derive that the half-life decay of the pressure deficit between the environment and TC centre is proportional to the initial radius of maximum surface wind speed. The initial pressure deficit and column-mean radial inflow speed into the core are the other key variables. The assumptions made in deriving the model are validated against idealised numerical simulations of TC decay over land. Decay half-lives predicted from a range of initial TC states are tested against the idealized simulations and are in good agreement. Dry idealised TC decay simulations show that without latent convective heating, the boundary layer decouples from the vortex above leading to a fast decay of surface winds while a mid-level vortex persists.
The Effect of the COVID-19 Pandemic on Stock Market Returns in Emerging Economies: Empirical Evidence from Panel Data

From several socioeconomic perspectives, the present health crisis can be connected to the 2008 financial and economic catastrophe. Governments worldwide are working hard to keep the markets in check, as evidence suggests that the health crisis may soon become an economic crisis. This paper aims to analyze the effect of COVID-19 on the selected stock market. Using a panel of daily COVID-19 confirmed cases and deaths and the stock market from 22 developing countries, we exploit an oil price as a shock to the stock market and examine the effect of COVII-19 on the slowdown of the stock market. We fmd a negative and significant impact of COVID-19 on the stock market in the first stage till April. However, there is no net influence on the stock market downturn when we extend the period. However, further study suggests that the outbreak's negative influence on the selected stock market has diminished and has begun to decline as of mid-April. As a result of the COVID-19 effect on the chosen stock, our findings imply that the government in the chosen market should consider a regulatory mechanism to reduce the stock market slowdown induced by the pandemic COVID-19.
Measurement and Control of Radially Polarized THz Radiation from DC-Biased Laser Plasma Filaments in Air

Detection and manipulation of radially polarized terahertz (THz) radiation is essential for many applications. A new measurement scheme is proposed for the diagnosis of radially polarized THz radiation from a longitudinal dc-biased plasma filament, by introducing a movable metal mask. The amplitude and spectrum of the radially polarized THz beam was measured with a <110>-cut ZnTe crystal, where the THz beam pattern was modulated by the mask. Based on this measurement scheme, it was demonstrated that the amplitude and spectrum of the radially polarized THz radiation from the longitudinal dc-biased filament could be manipulated by controlling the strength and the location of the dc-biased field.
Platoon Tracking Control With Road-Friction Based Spacing Policy for Nonlinear Vehicles

This paper investigates the platoon control problems for a group of nonlinear vehicles, in which the road-friction coefficient between the vehicle and road is taken into consideration. When the road-friction coefficient is small, the platoon safety may be affected with small inter-vehicle spacing headway. Hence, to improve the vehicle platoon safety with various road frictions, a novel spacing policy is developed for the vehicle platoon. This spacing policy is obtained by optimizing a certain safety cost function, which contains both the vehicle positions and the road-friction coefficients. Accordingly, the vehicle platoon would automatically adjust the inter-vehicle spaces to match the road friction. On this basis, a nonlinear vehicle platoon control scheme is proposed such that the vehicles can asymptotically converge to the proposed spacing policy. Particularly, a state observer is developed to approximate the vehicle states, such that only the position measurements can be applied to the control scheme. Moreover, the stability of proposed platoon tracking system is strictly analyzed. In final, numerical simulations are provided to verify the effectiveness and feasibility of proposed approaches.
Cryptococcosis: Identification of Risk Areas in the Brazilian Amazon

The Brazilian Amazon has a specific epidemiological profile for cryptococcosis, considering its social and economic inequality, health reality, and low access to health services. Furthermore, Brazil and Colombia have the highest cryptococcosis incidence rates in Latin America. In this study, we identified the areas of risk for cryptococcosis in the state of Pará in the Brazilian Amazon. This was an ecological study of patients admitted to a referral hospital from 2008 to 2018, aged 13 years or older, and of both sexes. The spatial distribution was determined using ArcGis 10.3. 1 software. Cryptococcosis was confirmed in 272 cases. The incidence rate was 3.41 cases/100,000 inhabitants. Spatial distribution was concentrated in the Metropolitana de Belém, Nordeste Paraense, and Marajó mesoregions. The sociodemographic profile consisted of 62% men, aged between 24 and 34 years (36%), without completed secondary education (64.7%), and with occupations varying between agricultural activities (13.8%) and household activities (22%). The mean hospitalization time was 39 days; the prevalent clinical form was neurological (89.7%). The mortality rate among patients with cryptococcosis was up to 40%. Knowledge of the real magnitude of the disease in the Brazilian Amazon makes it possible to identify areas with the greatest risks and to propose control and epidemiological surveillance programs.
Advanced Neuroimaging Approaches to Pediatric Brain Tumors

Simple Summary After leukemias, brain tumors are the most common cancers in children, and early, accurate diagnosis is critical to improve patient outcomes. Beyond the conventional imaging methods of computed tomography (CT) and magnetic resonance imaging (MRI), advanced neuroimaging techniques capable of both structural and functional imaging are moving to the forefront to improve the early detection and differential diagnosis of tumors of the central nervous system. Here, we review recent developments in neuroimaging techniques for pediatric brain tumors. Abstract Central nervous system tumors are the most common pediatric solid tumors; they are also the most lethal. Unlike adults, childhood brain tumors are mostly primary in origin and differ in type, location and molecular signature. Tumor characteristics (incidence, location, and type) vary with age. Children present with a variety of symptoms, making early accurate diagnosis challenging. Neuroimaging is key in the initial diagnosis and monitoring of pediatric brain tumors. Conventional anatomic imaging approaches (computed tomography (CT) and magnetic resonance imaging (MRI)) are useful for tumor detection but have limited utility differentiating tumor types and grades. Advanced MRI techniques (diffusion-weighed imaging, diffusion tensor imaging, functional MRI, arterial spin labeling perfusion imaging, MR spectroscopy, and MR elastography) provide additional and improved structural and functional information. Combined with positron emission tomography (PET) and single-photon emission CT (SPECT), advanced techniques provide functional information on tumor metabolism and physiology through the use of radiotracer probes. Radiomics and radiogenomics offer promising insight into the prediction of tumor subtype, post-treatment response to treatment, and prognostication. In this paper, a brief review of pediatric brain cancers, by type, is provided with a comprehensive description of advanced imaging techniques including clinical applications that are currently utilized for the assessment and evaluation of pediatric brain tumors.
Scorpion Venom Heat–Resistant Synthesized Peptide Increases Stress Resistance and Extends the Lifespan of Caenorhabditis elegans via the Insulin/IGF-1-Like Signal Pathway

Improving healthy life expectancy by targeting aging-related pathological changes has been the spotlight of geroscience. Scorpions have been used in traditional medicine in Asia and Africa for a long time. We have isolated heat-resistant peptides from scorpion venom of Buthusmartensii Karsch (SVHRP) and found that SVHRP can attenuate microglia activation and protect Caenorhabditis elegans (C. elegans) against β-amyloid toxicity. Based on the amino acid sequence of these peptides, scorpion venom heat–resistant synthesized peptide (SVHRSP) was prepared using polypeptide synthesis technology. In the present study, we used C. elegans as a model organism to assess the longevity-related effects and underlying molecular mechanisms of SVHRSP in vivo. The results showed that SVHRSP could prolong the lifespan of worms and significantly improve the age-related physiological functions of worms. SVHRSP increases the survival rate of larvae under oxidative and heat stress and decreases the level of reactive oxygen species and fat accumulation in vivo. Using gene-specific mutation of C. elegans, we found that SVHRSP-mediated prolongation of life depends on Daf-2, Daf-16, Skn-1, and Hsf-1 genes. These results indicate that the antiaging mechanism of SVHRSP in nematodes might be mediated by the insulin/insulin-like growth factor-1 signaling pathway. Meanwhile, SVHRSP could also up-regulate the expression of stress-inducing genes Hsp-16.2, Sod-3, Gei-7, and Ctl-1 associated with aging. In general, our study may have important implications for SVHRSP to promote healthy aging and provide strategies for research and development of drugs to treat age-related diseases.
Burden of mortality from cancer among adults in Addis Ababa, Ethiopia, using verbal autopsy, 2007–2017

Background: Cancer is one of the leading causes of death; worldwide, there were 10.0 million cancer deaths in 2020. In Ethiopia, 51,865 people died from the disease in the same year. We aimed to describe the burden of cancer mortality, the socio-demographic and other characteristics of deceased adults in Addis Ababa from 2007 to 2017. Methods: This study was part of the Addis Ababa Mortality Surveillance Programme. Based on the burial-based surveillance, there were 133,170 adult deaths from 2007 to 2017. The standard verbal autopsy questionnaire was applied to collect information on the causes of death of 10% of the randomly selected deaths. Results: Cancer accounted for 11% of all deaths studied. The median age of death in years was 60 (range = 47–70). Stomach cancer was the leading cause of cancer death (131, 13.6%), followed by breast cancer (116, 12.0%) and liver cancer (101, 10.5%). Conclusion: Cancer-related deaths accounted for a significant portion of all deaths. Premature deaths accounted for majority of the deaths. Cancer deaths were most commonly caused by stomach, breast and liver cancers. Advocating for a healthy lifestyle, effective cancer screening and effective alcohol-control regulations should be tailored to the country.
Magnetic Waves Excited by Newborn Pickup H+ Near Jupiter: Neutral Hydrogen Loss by the Planetary System

We report here observations of magnetic waves recorded by the Voyager spacecraft in the solar wind near Jupiter that are possibly the result of excitation by newborn pickup H+. Consideration of growth rates due to the known interstellar ion sources strongly disfavor an interstellar source. To determine the likely source of the waves, we compute the minimum ion production rate by equating wave growth to turbulent cascade rates and derive a lower limit for the production of H+ at the times of observations. The only available source of neutral H at these times and at the levels required is the Jovian system, most notably charge exchange between energetic protons and the neutral clouds around Io and Europa's orbits. Further refinement of the source identity is not possible at this time. We provide an estimate for the neutral H source subject to assumptions of the latitudinal extent of the population which is not constrained by observation.
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes

The logistics of transporting a package from a storage facility to the consumer’s front door usually employs highly specialized robots often times splitting sub-tasks up to different systems, e.g., manipulator arms to sort and wheeled vehicles to deliver. More recent endeavors attempt to have a unified approach with legged and humanoid robots. These solutions, however, occupy large amounts of space thus reducing the number of packages that can fit into a delivery vehicle. As a result, these bulky robotic systems often reduce the potential for scalability and task parallelization. In this paper, we introduce LIMMS (Latching Intelligent Modular Mobility System) to address both the manipulation and delivery portion of a typical last-mile delivery while maintaining a minimal spatial footprint. LIMMS is a symmetrically designed, 6 degree of freedom (DoF) appendage-like robot with wheels and latching mechanisms at both ends. By latching onto a surface and anchoring at one end, LIMMS can function as a traditional 6-DoF manipulator arm. On the other hand, multiple LIMMS can latch onto a single box and behave like a legged robotic system where the package is the body. During transit, LIMMS folds up compactly and takes up much less space compared to traditional robotic systems. A large group of LIMMS units can fit inside of a single delivery vehicle, opening the potential for new delivery optimization and hybrid planning methods never done before. In this paper, the feasibility of LIMMS is studied and presented using a hardware prototype as well as simulation results for a range of sub-tasks in a typical last-mile delivery.
A Dependency Annotation Scheme to Extract Syntactic Features in Indonesian Sentences

2017) ABSTRACT In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information has yet to be determined. In this study, a dependency annotation scheme for extracting syntactic features from a sentence is proposed. This annotation scheme adapts the Stanford typed dependency (SD) annotation scheme to cope with such phenomena in the Indonesian language as ellipses, clitics, and non-verb clauses. Later, this adapted annotation scheme is extended in response to the inability to avoid certain ambiguities in assigning heads and relations. The accuracy of these two annotation schemes are then compared, and the usefulness of the extended annotation scheme is assessed using the syntactic features extracted from dependency-annotated sentences in a preposition error correction task. The experimental results indicate that the extended annotation scheme improved the accuracy of a dependency parser, and the error correction task demonstrates that training data using syntactic features obtain better correction than training data that do not use such features, thus lending a positive answer to the research
Penerapan Arsitektur Enterprise Berkelanjutan Untuk Perusahaan Sistem Integrator Teknologi Informasi

<p><strong>Abstrak. </strong> Keberadaan perusahaan sistem integrator teknologi informasi yang menyediakan solusi <em>Internet of Thing</em> (IoT) semakin memegang peranan penting untuk memenuhi kebutuhan inisiatif transformasi digital yang dilakukan di pelanggan sektor swasta dan pemerintahan. Karakteristik tiap pelanggan sangatlah berbeda satu sama lainnya, sehingga diperlukan perusahaan sistem integrator yang mempunyai keunggulan dalam hal kustomisasi sistem, baik sistem <em>hardware</em>, <em>software, firmware</em>, dan jasanya. Tujuan penelitian ini adalah mendapatkan perencanaan arsitektur <em>enterprise</em> perusahaan sistem integrator teknologi informasi dengan spesialisasi solusi <em>Internet of Thing</em>, dengan menggunakan pendekatan model <em>canvas</em> dan <em>framework</em> TOGAF (<em>The Open Group Architecture Framework</em>) ADM (<em>Architecture Develoment Method</em>). Kajian arsitektur <em>enterprise</em> dilakukan secara menyeluruh termasuk aspek bisnis, aplikasi, informasi, teknologi, manajemen perubahan, dan <em>opportunities and solutions</em>. Hasilnya bidang bisnis ini memiliki arsitektur <em>enterprise</em> yang berkelanjutan, dan mempunyai keunggulan kompetitif. </p><p><strong><em>Kata kunci</em></strong><strong><em>:</em></strong><em> Arsitektur enterprise; TOGAF; Sistem Integrator; Internet of Thing</em><strong><em> </em></strong></p><p><em><strong>Abstract. </strong> The existence of an information technology system integrator company that provides Internet of Thing (IoT) solutions has important role to address digital transformation initiatives carried out by private sector and government customers. The characteristics of each customer are very different from each other, so a system integrator company need to do system customization, on system hardware, software, firmware, and services. The purpose of this study to obtain an enterprise architecture plan for information technology system integrator company specializing in Internet of Thing solutions, using the canvas model approach and the TOGAF (The Open Group Architecture Framework) ADM (Architecture Development Method) framework. The study of enterprise architecture is carried out thoroughly including aspects of business, applications, information, technology, change management, and opportunities & solutions. As a result, this business has a sustainable enterprise architecture, and has a competitive advantage. </em></p><strong><em>Key words:</em> </strong><em>Enterprise Architecture; TOGAF; System Integrator; Internet of Thing </em>