Miracle-dz/UniFAR-FTUs huggingface dataset:
Asteroseismological Analysis of the DAV HS 0507+0434B: The Influence of Chemical Profile on the Pulsation Periods

Asteroseismology is a powerful tool to infer the details of the inner chemical structure of white dwarfs. Using the nine observed frequencies of HS 0507+0434B, we explore the influence of the inner chemical profile on the pulsation periods. Based on the evolutionary C/O profile, we modify slightly the C/O core profile and make an asteroseismic analysis for HS 0507+0434B. We find that the trapped mode with the period of 445.3 s is mainly affected by the hydrogen and helium mass fraction. The inner C/O core profile has an influence on all modes extending into the inner core. When we use the iteration method with the optimal C/O core profile, the fit between the theoretical periods and observed ones is significantly improved. For the best-fitting model with the optimal parametric C/O core, there is a smaller C/O ratio and a smaller overshooting zone in the stellar interior. The fundamental parameters of the model with the optimal C/O core are M */M ⊙ ∼ 0.710 ± 0.005, T eff ∼ 12570 ± 106K, logMH/M*∼−8.01±0.08 , and logMHe/M*∼−2.51±0.08 .
Distributed communication power monitoring system based on big data technology

Communication system has high quality requirements for power supply. Realizing the effective monitoring of power supply system is an important measure to improve power quality. In order to better and effectively manage massive power information in complex environment and avoid communication power failure, a design method of distributed communication power monitoring system based on big data technology is proposed. The system operation performance is proposed, and the software function and operation process of the communication power monitoring system are simplified by using big data technology to improve the system monitoring accuracy. Finally, the experiment shows that the distributed communication power monitoring system based on big data technology has significantly higher response speed and relatively lower monitoring error in the actual application process.
Enhancement of Growth, Flowering and Corm Freesia Hybrida Plant via Rice Organic Residue Application and Chelated Zinc Spray

A pot trial was conducted to identify the effect of adding rice organic residues (ROR) to the potting soil and spraying chelated zinc (CZn) on the growth, flowering, and corm characteristics of the Freesia hybrida plant. An RCBD experiment was adopted with two factors and three replicates. ROR comprised three levels (0, 4, and 8%), and CZn included three concentrations (0, 20, and 40) mg.L−1. The findings revealed that applying ROR at 8% and spraying CZn at 20 mg.L−1 significantly increased leaf number, shoot dry weight, total chlorophyll content in fresh leaves, and total soluble carbohydrate content in dry leaves (6.66 leaves. plant−1, 8.76 g DW, 48.79 mg.100 g−1 FW, and 1.50 g DW) respectively. Also, the same treatment combination realized significant results for the number of florets per inflorescence, floret diameter, floret vase life, number of corms per plant, and corm diameter by (12.85 florets. inflorescence−1, 7.03 cm, 8 days, 3.66 corms. plant−1, and 2.33 cm) consecutively. Further, adding ROR at 8% and spraying CZn at 40 mg.L−1 significantly increased the number of inflorescences (5.33 inflorescences. plant−1) and inflorescence length (39.10 cm).
Influence of 2019 strong positive IOD on the upwelling variability along the southern coast of Java

The seas along the Southern Coast of Java, which are parts of the Indian Ocean, are exposed to climate variability conditions that influence the dynamic of oceanographic parameters in these areas. In terms of interannual climate variability, previous studies showed that Indian Ocean Dipole (IOD) variability is more influential than El Niño Southern Oscillation on the upwelling variability along the Southern Coast of Java. This study aimed to determine the effect of strong positive IOD in 2019 on the upwelling along the Southern coast of Java and investigate the possible mechanisms. This study used sea surface temperature data from OISST, wind speed data from the ASCAT satellite, chlorophyll-a data from the Aqua-MODIS, and sea level anomaly data obtained from altimetry satellites. All data were processed using the composite method. The results show enhanced southeast monsoon upwelling during the 2019 strong positive IOD along the Southern Coast of Java as denoted by higher positive (negative) anomaly of chlorophyll-a (SST) from the climatology. Interestingly, the easterly wind speed is lower than the climatology. Since the IOD influences upwelling along the Southern Coast of Java through the propagation of Kelvin wave, our results indicate the enhancing (weakening) upwelling (downwelling) Kelvin wave during the strong positive IOD in 2019 with the propagation speed of about 1.16 m/s. This Kelvin Wave propagation may amplify the coastal upwelling along the Southern Coast of Java.
Amalur: Next-generation Data Integration in Data Lakes

Data science workflows often require extracting, preparing and integrating data from multiple data sources. This is a cumbersome and slow process: most of the times, data scientists prepare data in a data processing system or a data lake, and export it as a table, in order for it to be consumed by a Machine Learning (ML) algorithm. Recent advances in the area of factorized ML, allow us to push down certain linear algebra (LA) operators, executing them closer to the data sources. With this work, we revisit classic data integration (DI) systems and see how these fit into modern data lakes that are meant to support LA as a first-class citizen.
Elastic Structure Preserving Impedance Control of Bidirectional Antagonistic Variable Stiffness Actuation

We propose an impedance controller for articulated soft robots implemented by bidirectional antagonistic variable stiffness (BAVS) actuation, where two motors are connected via nonlinear elastic elements to a single link allowing for a joint stiffness modulation. Naturally, the highly elastic elements introduce undesired oscillatory dynamics into the plant. To address this problem, we present a controller that allows to impose a desired link-side stiffness and damping behavior while preserving the intrinsic inertial elastic properties of the system. This allows us to solve the global asymptotic regulation problem while simultaneously imposing a desired joint stiffness preset on the BAVS actuator. We provide a passivity and stability analysis based on a physically motivated storage and Lyapunov function. Experimental results on the underarm BAVS joint of DLR David validate our control law.
Supporting Backward Transitions within Markov Chains when Modeling Complex User Behavior in the Palladio Component Model

The speciﬁcation of complex user behavior as accurate as possible is required in order to evaluate performance characteristics for application systems. Approaches exist to model probabilistic aspects within user behavior for session-based application systems using Markov chains. To integrate these approach into performance prediction activities, the authors transform the workload speciﬁcations of WESSBAS into performance model instances of the Palladio Component Model (PCM). In doing so, existing elements of the meta-model are reused to represent Markov chains. However, the simulation of these performance models is limited to Markov chains without backward transitions. To deal with this use case, this paper presents our approach to enable backward transitions within Markov chains using available elements of the PCM meta-model. By extending the existing approach, further complexity within workload for application systems is supported during performance modeling.
Investigation of Cytogenetic Properties of Drassodes lacertosus

In this study, karyological characteristics of Drassodes lacertosus belong to Gnaphosidae family collected from Nevsehir province take into account different localites were investigated for the first time. In order to obtain chromosome preparations, classical giemsa staining protocol was applied accourding to the method of Pekâr and Krâl (2001). The diploid chromosome number of the species is 2n=22♂ and the sex chromosome system is X1X20. Morphology of autosomes and sex chromosomes was found to be of telocentric type. While the relative length of autosomal chromosomes gradually decreased between % 9,46 and % 6,90; the relative lengths of sex chromosomes were determined as X1= % 10,76 and X2=% 6,67. It was determined in the karyotype that X1 is the largest chromosome and X2 is the smallest chromosome. In the prophase 1 and metaphase 1 stage of the meiotic division, the sex chromosomes show positive heteropicnotic features; in other phases meiosis, it shows isopicnotic properties. With the evaluation of the phases of meiosis division, D. lacertosus species has been determined a chiasmatic meiosis. As a result, with the cytogenetic studies obtained to date; in this study, these first karyological finding of Drassodes lacertosus will provide new data about the Drassodes genus and contribute to the cytogenetics of the species belonging to the Gnaphosidae family.
Case-Based and Collaborative-Learning Techniques to Teach Delivery of Sustainable Buildings

AbstractProject delivery of sustainable buildings is more complex than that for traditional buildings. It requires early interdisciplinary collaboration with full commitment of team members to the project’s green goals—ensured by delivery methods, contractual conditions, team procurement, and project management practices. As the need for sustainable built environment grows, the demand for professionals who can manage delivery of sustainable buildings efficiently will also increase in the (architecture, engineering, and construction) industry. Teaching delivery of sustainable building characteristics to students through traditional methods is challenging, however. This paper presents a case study in which a multidisciplinary graduate class of 14 students was exposed to case-based collaborative-learning methods, examining whether these methods could improve student understanding of sustainable building delivery. The results of pre- and post case study assignment surveys and evaluation of role play and open .
The Effects of the Capital Structure in Performance: Empirical Study on Manufacturing Smes of México

The small and medium-sized enterprises (SMEs) generally present capital structures poorly planned, and appeal to financial sources both internal and external that while allow them to operate, often neither represent the best available options nor the most appropriate for maximizing their economic performances. The objective of this empirical study is to determine the effects of the capital structure in the performance of the SMEs, specifically; the work was done with a sample of 221 manufacturing SMEs located in Aguascalientes State in Mexico. The obtained results through the empirical testing of a structural equation modeling (SEM) provide empirical evidence that the internal financing sources influence significantly and positively the performance. Similarly, it was found that the external sources of financing have a positive influence, but not significantly in performance, which draws attention to the importance of these companies carefully plan their capital structure, giving preference to the internal financing sources.
Vehicle Kinematic Parameters Estimation Using Modified Linear Kalman Filter

This paper proposes a system that can estimate kinematic parameters of the target vehicle like location, velocity, and acceleration to avoid possible vehicle collision. Kinematic parameters are extracted from radar signal with appropriate waveform modulation. Hybrid linear frequency modulation (LFM) and frequency- shift keying (FSK) i s u s e d i n ra d a r so t h a t more than one target is detected with high range resolution and high time update. Extracted kinematic parameters are than process using Modified Linear Kalman Filter (MLKF) along with trilateration process. Extended Kalman Filter (EKF) is also use to compare response of the two systems. Sensor network is useful for 360 degree protection of individual car. Sensors used in sensor network are 77GHz wide range radar and 24GHz ultra-wide band (UWB) short range radar (SRR).
Analysis of the Quality of Unit Services Towards Satisfaction of BPJS Outboards Patients at Colonel Abunjani Hospital Bangko

The purpose of the study was to determine the quality of outpatient services on BPJS outpatient satisfaction at the Colonel Abunjani Hospital Bangko in 2019. The method of this research was used cross sectional, namely research which was carried out purely to conduct a description without in-depth analysis. The research sample is partly taken from the entire object under study and is considered to represent the entire population. The results of this research namely: (1) There is a significant relationship between technical competence and the satisfaction of BPJS outpatients at the Colonel Abunjani Hospital Bangko in 2019 (p=0.000); (2) There is a significant relationship between access to services and satisfaction of BPJS outpatients at the Colonel Abunjani Hospital Bangko in 2019 (p=0.000); (3) There is a significant relationship between effectiveness and satisfaction of BPJS outpatients at Colonel Abunjani Bangko Hospital in 2019 (p=0.000); (4) There is a significant relationship between human relationships and BPJS outpatient satisfaction at Colonel Abunjani Hospital Bangko in 2019 (p=0.000); (5) There is a significant relationship between efficiency and satisfaction of BPJS outpatients at Colonel Abunjani Hospital Bangko in 2019 (p=0.000); (6) There is a significant relationship between service continuity and BPJS outpatient satisfaction at Colonel Abunjani Hospital Bangko in 2019 (p=0.000); (7) There is a significant relationship between security and satisfaction of BPJS outpatients at Colonel Abunjani Hospital Bangko in 2019 (p=0.042); (8) There is a significant relationship between comfort and satisfaction of BPJS outpatients at Colonel Abunjani Hospital Bangko in 2019 (p=0.000)
Passenger Flow Simulation to Evaluate the Degree of Discomfort for Walking in Stations

Stations are normally congested during rush hour periods. In recent years, the number of complex stations that include commercial facilities has increased, and the nature of passenger traffic lines at stations has become increasingly diversified. It has therefore become more important to consider comfortable walking conditions for passengers when planning stations. Although the authors previously clarified passenger flow at a station using simulation technology, there was no established technique to evaluate the degree of discomfort passengers experience during conditions of congestion. Accordingly, efforts were made to clarify the relationship between the degree of congestion and passenger discomfort. In this study, repeated walking experiments and monitor-based evaluation tests were performed using a mock-up station (referred to as a station simulator). The results provided indicators that could be used to evaluate the degree of discomfort passengers feel and to improve existing passenger flow simulation.
Engineering of human mesenchymal stem cells resistant to multiple natural killer subtypes

Mesenchymal stem cells (MSCs) as a therapeutic promise are often quickly cleared by innate immune cells of the host including natural killer (NK) cells. Efforts have been made to generate immune-escaping human embryonic stem cells (hESCs) where T cell immunity is evaded by defecting β-2-microglobulin (B2M), a common unit for human leukocyte antigen (HLA) class I, and NK cells are inhibited via ectopic expression of HLA-E or -G. However, NK subtypes vary among recipients and even at different pathologic statuses. It is necessary to dissect and optimize the efficacy of the immune-escaping cells against NK subtypes. Here, we first generated B2M knockout hESCs and differentiated them to MSCs (EMSCs) and found that NK resistance occurred with B2M-/- EMSCs expressing HLA-E and -G only when they were transduced via an inducible lentiviral system in a dose-dependent manner but not when they were inserted into a safe harbor. HLA-E and -G expressed at high levels together in transduced EMSCs inhibited three major NK subtypes, including NKG2A+/LILRB1+, NKG2A+/LILRB1-, and NKG2A-/LILRB1+, which was further potentiated by IFN-γ priming. Thus, this study engineers MSCs with resistance to multiple NK subtypes and underscores that dosage matters when a transgene is used to confer a novel effect to host cells, especially for therapeutic cells to evade immune rejection.
Organizing a Firm-Community Collaboration for growth: How to benefit from open source projects without hurting them

This paper focuses on collaborations among firms and communities for obtaining better outcomes from open source projects. In specific, we aim to disentangle how organizational design may affect the performance of an OSS project. Project? s management model and employee involvement in the project are treated as potential mediators that may have an effect on the aforementioned relationship. The empirical analysis is undertaken on a sample of OSS projects hosted on the platform SourceForge.net from December 2006 to December 2008. The findings of this study are three fold. First, being directly involved in a project with a specific policy on OSS has a positive effect on project? s performance. Second, coordination by firm has a negative effect on performance. Third, admin as an employee on main duty does not have a direct positive effect on performance. However, it positively moderates the aforementioned relationship. The findings contribute to knowledge on benefits of collaborations between firms and OSS communities. Firm? s role in the complex coordination mechanism of the project on project? s success has been investigated. Managing the boundaries of collaborations is essential. Written rules and guidelines lead to fruitful joint development of software.
ARTIFICIAL NEURAL NETWORK BASED MPPT ALGORITHM FOR MODERN HOUSEHOLD WITH ELECTRIC VEHICLE

This paper deals with implementation of artificial neural network in the maximum power point tracking (MPPT) controller algorithm for modern household where electric vehicle (EV) was purchased. The proposed MPPT algorithm was designed to achieve the best possible efficiency of the MPP (maximum power point) tracking and the best possible energy harvesting to charge the EV’s battery. The artificial neural networks have strong advantage in fast input to output response of signals and the finding of MPP is faster than in commonly used algorithms. In this article, the optimised simulation model based on artificial neural network will be introduced. The proposed artificial neural network algorithm was designed for non-shielded photovoltaic panels.
Grammar-Based Grounded Lexicon Learning

We present Grammar-Based Grounded Lexicon Learning (G2L2), a lexicalist approach toward learning a compositional and grounded meaning representation of language from grounded data, such as paired images and texts. At the core of G2L2 is a collection of lexicon entries, which map each word to a tuple of a syntactic type and a neuro-symbolic semantic program. For example, the word shiny has a syntactic type of adjective; its neuro-symbolic semantic program has the symbolic form {\lambda}x. filter(x, SHINY), where the concept SHINY is associated with a neural network embedding, which will be used to classify shiny objects. Given an input sentence, G2L2 first looks up the lexicon entries associated with each token. It then derives the meaning of the sentence as an executable neuro-symbolic program by composing lexical meanings based on syntax. The recovered meaning programs can be executed on grounded inputs. To facilitate learning in an exponentially-growing compositional space, we introduce a joint parsing and expected execution algorithm, which does local marginalization over derivations to reduce the training time. We evaluate G2L2 on two domains: visual reasoning and language-driven navigation. Results show that G2L2 can generalize from small amounts of data to novel compositions of words.
Evaluation of bone height gain following transcrestal sinus floor elevation using piezoelectric surgery versus the conventional osteotome technique in patients with atrophic posterior maxillae: A Randomized controlled clinical trial

Background: Although trans-crestal sinus floor elevation (TSFE) has been proven as a predictable surgical procedure to increase the bone height in the posterior maxilla, high-quality evidence comparing TSFE using piezoelectric surgery versus the conventional osteotome technique is limited. The aim of the present study is to evaluate bone height gain following TSFE using piezoelectric surgery versus the conventional osteotome technique. Subjects and methods: Twenty-four patients with one missing upper posterior tooth with 5-8 mm residual bone height beneath the maxillary sinus were randomly allocated into two groups; TSFE using piezoelectric surgery (test group) and TSFE using osteotomes (control group). CBCT was Turkish Journal of Physiotherapy and Rehabilitation; 32(3) ISSN 2651-4451 | e-ISSN 2651-446X www.turkjphysiotherrehabil. org 26483 used to measure bone height gain after 6 months. Sinus membrane perforation and oral health related quality of life (OHRQoL) were evaluated using appropriate statistical tests. Results: No statistically significant difference regarding the bone height gain after 6 months between the test (2.22 mm) and control (1.94 mm) groups was found. Only one case of membrane perforation occurred in each group representing a percentage of 8 %. Likewise, no statistically significant difference between the test and the control groups regarding OHRQoL was found. Conclusion: TSFE is a successful technique regardless of the tools used with statistically significant difference between the initial bone height and bone height after 6 months. In addition, there is no statistically significant difference between TSFE using piezoelectric surgery and osteotomes regarding bone height gain after 6 months, membrane perforation and OHRQoL.
Trade-Offs in Synthetic Vision System Display Resolution, Field of Regard, Terrain Data Density, Texture, and Shading During Off-Path Operations

We conducted 2 independent fixed-base flight simulator studies to determine trade-offs in synthetic vision system (SVS) display resolution, field of regard, terrain data density, texture, and shading during off-path operations. The data we present herein are a synthesis of prior work and may be useful for consideration by SVS designers and certification entities. Pilots flew off-path tasks, following the middle of a curved valley depicted on the SVS. The SVS parameters were manipulated between runs and cross-track deviations from the desired path following the middle of the valley were recorded. Off-path terrain navigation tasks were used to isolate the effect of the different SVS terrain depictions on cross-track error without the overriding effects of other flight guidance symbology. For off-path SVS operations and based on the results presented in this article, we recommend an SVS head-down display resolution of about 105 pixels per inch (ppi; 32.7 pixels per degree of visual angle) or better at a viewing distance of 21 in. , a field of regard of 60 degrees, a terrain data density of 6 arc sec or better, a two-color checkerboard or elevation-based coloring scheme (or a combination thereof), and Gouraud shading of the texture.