Miracle-dz/UniFAR-FTUs huggingface dataset:
CORPORATE SOCIAL RESPONSIBILITY OF LAND TRANSPORTATION COMPANIES REPUTATION IN INDONESIA

This research aims to determine the effects of the audit committee and institutional ownerships on Corporate Social Responsibility (CSR) and its implications on land transportation companies’ reputation enlisted in the Indonesia Stock Exchange for the period of 2013-2019. Declines in a company's reputation requires improvements through the audit committee, institutional ownership and CSR. This research applies quantitative method and purposive sampling technique was used to obtain a total of 35 samples consisting of five companies within a seven-year observation period. Descriptive statistics and path analysis approach were used to analyze the data. The result of this research shows that there is no direct effect of the audit committee on CSR, there is positive direct effect of institutional ownerships on CSR, there is no direct effect of the audit committee on firm reputation, there is no direct effect of institutional ownerships The key finding of this research is, that companies can improve CSR and reputation company through the audit committee, what needs to be done is does not increase the number of audit committees. Company can improve company reputation through institutional ownership and CSR, it is necessary attempted is that CSR is an investment in the long term long.
Do R&D resources affect open innovation strategies in SMEs: the mediating effect of R&D openness on the relationship between R&D resources and firm performance in South Korea’s innovation clusters

ABSTRACT This study shows how R&D resources improve firm performance, taking advantage of open innovation activities in SMEs. It focuses on the mediating effect of R&D openness on the relationship between R&D resources and firm performance in SMEs. We employ secondary data of 1,046 SMEs located in South Korea’s innovation clusters wherein scientific knowledge and technologies are efficiently created, transferred and utilised. The findings show that R&D resources (technological, human and financial resources) and R&D openness in SMEs positively affect firm performance. On the one hand, only SMEs with more financial resources (R&D investment) achieve better firm performance via a higher degree of external R&D collaboration. Fewer technological resources or more financial resources in SMEs can be a motivation for external collaboration. Differentiated open innovation strategies are required depending on the characteristics of R&D resources in SMEs in order to improve firm performance.
Experimental Investigation and Calculation of Multiphase Screw Pumps of Conventional and New Improved Design

loss loss rec recirculation Twin screw pumps are used for multiphase operations in the oil and gas industries. th theoretical vol volumetric Their characteristic diagrams showing the pressure increase from the suction towards the pressure side as a function of the overall volume flow are measured within a closed loop test facility. The volume flow fractions of the gaseous phase are varied in the range from 0 to 1 for two-phase flows of air-water and air-oil mixtures with different flow patterns at the suction side of the pump. Different pump internal leakage flows are considered in order to comment on the experimental results as well as to establish a model for numerical calculations of the multiphase flow within the closed chambers of the intermeshing rotating screws of the pump.
Shallow footing response on sands using a direct method based on cone penetration tests

Full-scale load tests on 31 large footings situated on 13 different quartz-silica sand sites are used to develop a direct means for evaluating the vertical load-displacement and capacity response using tip resistances (q sub c) from cone penetration tests (CPT). Only large size foundations with footing widths 0.5 m ≤ B ≤ 6 m were considered in order to avert difficulties found in scaling of small model test results. As no clear peak was observed, a reference "capacity" criterion is taken as the load corresponding to the s/B = 10% criterion, where s = footing displacement. It is found that the applied footing stress (q) vs. displacement (s/B) curves for all cases are unified when the foundation stress is normalized by the cone tip resistance.
SCHOOL ADMINISTRATORS’ AND TEACHERS’ VIEWS ABOUT THE USE OF SOCIAL MEDIA AT SCHOOLS AS A NEW PLATFORM IN ORGANIZATIONAL COMMUNICATION

This research aimed to evaluate the school administrators’ and teachers’ views about the use of social media at schools as a new platform in organizational communication. Phenomenology, a qualitative research model, was used in the research. A total of 17 participants who were included in the research (school administrators and teachers) were selected by using the purposive sampling methods that were well-suited to the qualitative research studies, namely, the “maximum variation sampling method” and the “criterion sampling method”. Participants’ views were received via semi-structured and in-depth interviews. The research data were analyzed by using the NVivo 12.0 software. The inductive descriptive analysis, content analysis, and the constant comparison technique were utilized in the interpretation of interview texts. In this context, the participants’ views were grouped under the themes of “views about the definition of social media”, “views about whether the use of social media at schools is necessary”, “views about the purpose of using social media at schools”, “views about the likely effects of using social media at schools”, and “views about recommending the use of social media at schools”. In the research, the participants stated that they viewed social media as a communication tool, the use of social media at schools was necessary, social media platforms could be used for education & instruction and giving (sharing) information, social media could have positive effects besides negative effects, and certain societal, technical, and legal measures should be taken to assure that the social media was used effectively. To ensure the professional use of social media at schools, it is recommended that educators undergo professional development. Article visualizations:
ENHANCING PRIMARY SCHOOL STUDENTS MATHEMATICAL MOTIVATION AND INTEREST USING MATH-ISLAND

Over the years, mathematics has assumed a vital part of the educational landscape of every society. Nevertheless, the subject has attracted considerable attention from researchers relating to the observed low performance and suitable approaches to improve outcomes. In this study, a quasi-experimental design was adopted to establish the effect of the Math-Island on primary school students mathematical motivation and interest. A total of eighty-two students with an age range of 7 â€“ 12 years and a mean age of (M=9.12), (SD= 1.22) participated in the study. The samples were grouped into two and were exposed to a pre-test and post-test investigation. Mean and standard deviation scores were used. The independent t-test analysis established a statistically significant difference between the groups, MD = 11.53, t (80) = 6.313, p < 0.05. Thus, the result supported the studys hypothesis. It was concluded that Math-Island is effective in enhancing students mathematics motivation and interest. The study recommends adopting the system in math class and that teachers be regularly trained on using the device for teaching.
The Continued Use of Social Commerce Platforms and Psychological Anxiety—The Roles of Influencers, Informational Incentives and FoMO

Why does the continued use of social commerce platforms fail to promote consumer wellbeing? This study explores the roles of influencers, informational incentives and fear of missing out (FoMO) in the relationships between social commerce platform use and consumer mental health. Data were obtained through questionnaires, as well as constructing a research model. Statistical analysis and path analysis of the structural equation model were performed by the software IBM SPSS and AMOS, and the following results were obtained. (1) Influencer expertise and interactivity, informational incentives and FoMO have a significant impact on consumers’ continued use of social commerce platforms. (2) Materialism has no significant effect on consumer social commerce platform use. (3) FoMO mediates the relationships between informational incentives and continued use of social commerce platforms. (4) Consumers’ continuous use of social commerce platforms has a strong relationship with mental health. (5) Continued use of social commerce platforms can lead to intense social engagement, as well as more severe outcomes such as psychological anxiety and compulsive buying. The findings of the paper have important implications for the development of social business theory and management practice.
Functional Verification of Novel ELMO1 Variants by Live Imaging in Zebrafish

ELMO1 (Engulfment and Cell Motility1) is a gene involved in regulating cell motility through the ELMO1-DOCK2-RAC complex. Contrary to DOCK2 (Dedicator of Cytokinesis 2) deficiency, which has been reported to be associated with immunodeficiency diseases, variants of ELMO1 have been associated with autoimmune diseases, such as diabetes and rheumatoid arthritis (RA). To explore the function of ELMO1 in immune cells and to verify the functions of novel ELMO1 variants in vivo, we established a zebrafish elmo1 mutant model. Live imaging revealed that, similar to mammals, the motility of neutrophils and T-cells was largely attenuated in zebrafish mutants. Consequently, the response of neutrophils to injury or bacterial infection was significantly reduced in the mutants. Furthermore, the reduced mobility of neutrophils could be rescued by the expression of constitutively activated Rac proteins, suggesting that zebrafish elmo1 mutant functions via a conserved mechanism. With this mutant, three novel human ELMO1 variants were transiently and specifically expressed in zebrafish neutrophils. Two variants, p.E90K (c.268G>A) and p.D194G (c.581A>G), could efficiently recover the motility defect of neutrophils in the elmo1 mutant; however, the p.R354X (c.1060C>T) variant failed to rescue the mutant. Based on those results, we identified that zebrafish elmo1 plays conserved roles in cell motility, similar to higher vertebrates. Using the transient-expression assay, zebrafish elmo1 mutants could serve as an effective model for human variant verification in vivo.
Millimetre wave signal generation using resonant tunneling diodes NLTL‐resonators

We present a novel approach of millimetre wave power generation using active microstructured nonlinear transmission line (NLTL) oscillators consisting of a periodic array of resonant tunneling diodes (RTDs). RTD‐NLTLs resonators have been measured to operate as distributed oscillators up to 50 GHz with power output up to −10 dBm. © 2007 Wiley Periodicals, Inc. Microwave Opt Technol Lett 49: 2907–2909, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.22902
Reservoir bottom absorption effects in earthquake response of concrete gravity dams

Utilizing a recently developed analytical procedure, linear responses of the tallest non-overflow monolith of Pine Flat Dam to Taft ground motion are presented for a range of properties for the reservoir bottom materials and various assumptions for the impounded water and foundation rock. In these analyses, the alluvium and sediments at the reservoir bottom, upstream of the dam, are modelled by a reservoir bottom that partially absorbs incident hydrodynamic pressure waves. Based on these response results, it is demonstrated that the earthquake response of dams is increased by dam-water interaction and decreased by reservoir bottom absorption with the magnitude of these effects depending on the flexibility of the foundation rock and on the component of ground motion. It is also shown that the significance of the response of dams to vertical ground motion was overestimated in earlier studies assuming a rigid reservoir bottom.
Maintenance of elbow equilibrium through co-contraction

Experiments were conducted in which postures of the elbow and forearm were quasistatically maintained through deliberate cocontraction of the biceps and triceps, the principal flexor and extensor muscles acting about the elbow. The object of these experiments was to record the levels of muscular activation for the biceps and triceps as various postures of the elbow and forearm were maintained for a full range of cocontraction. Trials were conducted over a range of elbow angle from near fully flexed to near fully extended. Preliminary results from these experiments are presented. These show that for forearm postures away from the midrange of the elbow, cocontraction leads to antagonist muscle activation levels that, are significantly larger than the corresponding level of agonist activation i.e., the muscle supporting the limb against gravity is not working as hard as its antagonist counterpart. An explanation of these counterintuitive results is presented, based on assumed length-dependence of the muscle efficiency relating neural input to muscle force. <<ETX>>
Correlation of elastic characteristics of breast lesions with the expression of Smad2/3

Background To analyze the relationship between elastic characteristics and the expression of Smad2/3 in breast lesions. Methods Between April 2018 and October 2018, 135 lesions from 130 patients who underwent shear wave elastography before surgical excision or biopsy were included in the study. The shear wave elasticity features of the lesions, expression of Smad2/3 of the specimens, and their combined diagnostic efficacy was analyzed. Results Of the 135 lesions, 51 were malignant and 84 were benign. The elasticity ratio of lesions to peripheral parenchyma, maximum elasticity, mean elasticity, prevalent rate of “stiff rim sign”, and the expression level of Smad2/3 in the malignant pathological changes were obviously superior to those with benign pathological change (P<0.001). The Smad2/3 expression level had a positive correlation with the maximum, average elasticity, and the elastic ratio of lesions to peripheral parenchyma (r=0.657, 0.640, and 0.470, respectively, P<0.001). The expression of Smad2/3 in lesions with “stiff rim sign” was statistically higher than that in lesions without “stiff rim sign” (P<0.001). Moreover, the combination of Smad2/3 expression and “stiff rim sign” was shown to greatly raise the sensitivity (100%) and accuracy (94.56%) in the differential diagnosis of mammary gland disease. Conclusions In light of the findings, maximum, mean elasticity, elasticity ratio of lesions to peripheral parenchyma, and “stiff rim sign” are correlated with the expression of Smad2/3. The combination of the expression of Smad2/3 and “stiff rim sign” might contribute to the diagnosis of breast carcinoma.
A Comprehensive Taxonomy of Dynamic Texture Representation

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.
Dynamic Experimental Study on Highly Weathered Granite

The shear modulus and damping ratio are two important index in equivalent nonlinear model which is widely used in seismic response analysis. GDS resonant-column is used to study the shear modulus and damping ratio of highly weathered granite by controlling the consolidation confining pressure and pore water pressure. Variation of resonant frequency, shear modulus and damping ratio can be observed when different effective stress which is changed with confining pressure and pore water pressure applied on the sample. Hadin-Drnevich fitting curves are given on the basis of experimental data, and damping mechanism of highly weathered granite is discussed by making use of frictional theory. We can conclude from the results that there is a positive correlation between resonance frequency and shear strain, while there is a negative correlation between samples damping ratio and shear strain. The effective stress impact both samples shear modulus and damping ratio. However, pore water pressure can only act on damping ratio.
Quality Assessment in Vocational Education Based on a Hierarchical Classification Technique

According to the laws of education in Thailand, the Office for National Education Standards and Quality Assessment is responsible for assessing the external educational institutes in order to develop the quality and educational standards. The external quality assessment reports are represented in both structured and unstructured data. In this paper, we focus on the analysis of unstructured data, i.e., to automatically classify strength and weakness points. We propose and evaluate two different classification models: Flat Classification and Hierarchical Classification. Three algorithms, Naive Bayes, Support Vector Machines (SVM) and Decision Tree, were used in the experiments. The results showed that classification viathe Hierarchical Classification model by using the SVM yielded the best performance. The classification of strength and weakness points yielded the F-measure equal to 0.843 and 0.893, respectively. The proposed approach can be applied as a decision support function for quality assessment in vocational education.
A comparison of focused ion beam and electron beam induced deposition processes

Focused ion and electron beams are used for local deposition of conducting or insulating films. Major applications are integrated circuit design edit, prototype modification, repair of masks, and machining of microsystems. In this paper, the dependence of the deposition rates versus the beam parameters for both, ion beam and electron beam induced deposition were investigated and compared with each other. At the same time, a more precise consideration of the influence of secondary electrons on the deposition process was accomplished.
On the Frontiers Of Rice Grain Analysis, Classification and Quality Grading: A Review

Rice is a high valued subsistence crop that feeds more than 3.5 billion of the world population. Its importance can be gauged from the fact that the top five rice exporting countries had a combined net export worth of around 19 billion dollars in 2018. A robust rice grain analysis and classification system can significantly improve performance both in terms of accuracy as well as time. In recent decades, this research area has garnered a lot of attention due to its socio-economic impact. In this paper, we reviewed the work done in image-based rice classification and gradation. The contribution of this study is three-fold. First, it divides the algorithms and techniques of this area into five different approaches namely; geometric, statistical, supervised, unsupervised, and deep learning. Among these, deep learning techniques have shown more promising results and gained attention for future research. Secondly, it divides the rice grain literature historically into three different eras. Thirdly, it summarizes various algorithms and techniques related to rice quality grading and rice disease identification.
Decentralized coordination of multiple autonomous vehicles

This dissertation focuses on the study of decentralized coordination algorithms of multiple autonomous vehicles. Here, the term decentralized coordination is used to refer to the behavior that a group of vehicles reaches the desired group behavior via local interaction. Research is conducted towards designing and analyzing distributed coordination algorithms to achieve desired group behavior in the presence of none, one, and multiple group reference states. Decentralized coordination in the absence of any group reference state is a very active research topic in the systems and controls society. We first focus on studying decentralized coordination problems for both single-integrator kinematics and double-integrator dynamics in a sampled-data setting because real systems are more appropriate to be modeled in a sampled-data setting rather than a continuous setting. Two sampled-data consensus algorithms are proposed and the conditions to guarantee consensus are presented for both fixed and switching network topologies. Because a number of coordination algorithms can be employed to guarantee coordination, it is important to study the optimal coordination problems. We further study the optimal consensus problems in both continuous-time and discrete-time settings via an linear-quadratic regulator (LQR)-based approach. Noting that fractional-order dynamics can better represent the dynamics of certain systems, especially when the systems evolve under complicated environment, the existing integer-order coordination algorithms are extended to the fractional-order case. Decentralized coordination in the presence of one group reference state is also called coordinated tracking, including both consensus tracking and swarm tracking. Consensus tracking refers to the behavior that the followers track the group reference state. Swarm tracking refers to the behavior that the followers move cohesively with the external leader while avoiding inter-vehicle collisions. In this part, consensus tracking is studied in both discrete-time setting and continuous-time settings while swarm tracking is studied in a continuous-time setting. Decentralized coordination in the presence of multiple group reference states is also called containment control, where the followers will converge to the convex hull, i.e., the minimal geometric space, formed by the group references states via local interaction. In this part, the containment control problem is studied for both single-integrator kinematics and double-integrator dynamics. In addition, experimental results are provided to validate some theoretical results.