Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Self-efficacy, Motivation and Anxiety on Online Academic Performance

As the number of online-learning users continues to increase, there is a need to understand the Effect of Self-efficacy, Motivation and Anxiety on Online Academic Performance. Through the online learning process, students can access the given information of teachers at any time on the respective online platform. The study aims to find out the Effect of Self-efficacy, Motivation and Anxiety on Online Academic Performance. It is comparatively more convenient in the current situation, because of the pandemic; every educational institute follows this learning method for properly giving education or lessons to their students. The study included 150 participants studying various courses at an Indian University. The mean age of participants was 19 years. The study consisted of 3 scales, the academic self-efficacy scale, the academic motivation scale and the state trait anxiety inventory. The researcher carried out a descriptive study to identify the aim of the study. Independent sample t-test and Mann-Whitney U test were carried out and the results of the study were analysed for the mentioned hypothesis. The study found that the mean scores of academic performances dropped in the individuals with low self-efficacy. Also, the mean scores of academic performances dropped in the individuals with low motivation. These differences were not significant. However, it was found out that the individuals with high anxiety saw a significant drop in their academic performances. Hence the study shows that anxiety had a great effect on the levels of academic performance of students.
Conditional Variance Parameters in Symmetric Models

The parameters and are restricted to be non-negative in GARCH model, which have some consequences for the stationarity condition, and although the disturbances have mean 0, they are clearly not white noise because of their time-varying asymmetric probability density functions. Thus, this stationary process is capable of capturing well known phenomena present in financial markets such as volatility clustering, marginal distributions having heavy tails and thin centres (Leptokurtosis); return series appearing to be almost uncorrelated over time but to be dependent through higher moments. The possibility of having dependence between higher conditional moments, most notably variances, involves examining nonlinear stochastic processes from a more realistic perspective in time series data. This motivates the consideration of nonlinear models. The results obtained through Monte Carlo simulations established the practicability and small sample performance of symmetric models under Gaussian distributions. The results also showed that the corresponding standard errors are very small indicating that estimators are asymptotically unbiased, efficient and consistent at least within the sample.
Bridge Damage Identification Using Artificial Neural Networks

An objective, data-driven approach to evaluate the performance of bridges for developing a structural health monitoring system is introduced as bridge behavior. A method of identifying structural damage through the evaluation of response data from an instrumented bridge is proposed. Strains during operational traffic events at the Powder Mill Bridge in Barre, Massachusetts, are recorded at many locations on the bridge. Bridge behavior is defined as each sensor location’s range of expected peak strain during a traffic event based on all other sensor locations’ strains measured at that instance in time. Artificial neural networks (ANNs) are trained with operational bridge response data in a bootstrapping scheme to generate a probabilistic model of bridge behavior. When tested against new data, the ANN-learned model of predicted bridge behavior is proven effective and applicable to varying traffic events with unknown loading conditions. A method for long-term performance assessment using the expected bridge behavior is proposed. Structural damage can impact bridge behavior and thus bridge performance. The effects of structural damage are extracted from simulated HS20 design truck runs on a calibrated finite-element model (FEM) and are applied to operational strain data to assess the damage identification method. When assessed, the damage identification method is effective at detecting the presence of damage, with no Type I or Type II errors when using aWilcoxon rank-sum test of an appropriate significance level. Damage is effectively localized for most types of simulated damage.DOI: 10.1061/(ASCE)BE.1943-5592.0001302. © 2018 American Society of Civil Engineers. Author keywords: Structural health monitoring; Artificial neural networks (ANNs); Bridge behavior; Damage identification; Operational strain measurements; Response only; Hypothesis test.
The Application of Heterogeneous Information Fusion in Misalignment Fault Diagnosis of Wind Turbines

The misalignment of the drive system is one of the important factors causing damage to gears and bearings on the high-speed output end of the gearbox in doubly-fed wind turbines. How to use the obtained information to determine the types of the faults accurately has always been a challenging problem for researchers. Under the restriction that only one kind of signal is used in the current wind turbine fault diagnosis, a new method based on heterogeneous information fusion is presented in this paper. The collected vibration signal, temperature signal, and stator current signal are used as original sources. Their time domain, frequency domain and time-frequency domain information are extracted as fault features. Taking into account the correlation between the features, t-distributed Stochastic Neighbor Embedding (t-SNE) is used to reduce the dimensionality of the original combinations. Then, the fusion features are put into the Least Square Support Vector Machine (LSSVM), which is optimized by artificial bee colony (ABC) algorithm. The simulation tests show that this method has higher diagnostic accuracy than other methods.
Determining the Degree of the Routinization of Additive Manufacturing in the Air Logistics Complexes

Fiscal constraints have affected the United States Air Force’s (USAF’s) spending and sustainment of weapons systems that are being utilized beyond their programmed life cycle; therefore, it is imperative that processes be thoroughly evaluated for improvement, innovative approaches, and/or best practice implementation. The Air Force Sustainment Center (AFSC), part of the Air Force Materiel Command (AFMC), has embarked on a groundbreaking effort to transform operations and leverage industry best practices, while maintaining focus on warfighter support to create “The AFSC Way. ” The AFSC Way is based on a shared leadership model that emphasizes speed, safety, and quality, which gives way to innovative ideas and new technologies in order to achieve “Art of the Possible” results, despite fiscal uncertainty. The quest for continued sustainment has led to the recognition of innovation as a vital ingredient to an organization’s survival and profitability in this fiscally constrained environment. Additive manufacturing is one such innovation that the AFSC has adopted and implemented in an effort to maintain or enhance current weapons system sustainment practices. If the AFSC is to realize the potential benefits of additive manufacturing, it must be routinized to some degree into the organization’s governance systems. This research concluded that additive manufacturing was moderately routinized in each ALC.
PRE-OPERATIVE SEDATION USING ORAL CLONIDINE AND ORAL GABAPENTINE: A COMPARATIVE STUDY

Sedation Using Oral Clonidine and Oral Gabapentine: A Comparative Study”. Evidence based to the effectiveness of single dose of Gabapentin for intraoperative sedative effects was published in 2009. The scores for sedation were recorded in 1st hour intraoperatively. Sedation was achieved with an IV bolus of propofol and continuous infusion of remifentanil. There were significant differences between Gabapentin and placebo groups with regard to total consumptions of remifentanil (p = 0.033) and propofol (p = 0.001). A Turan’s study on effect of oral Gabapentin on postoperative epiduralanalgesia where 1200 mg of Gabapentin was used showed that most side-effects during postoperative
Mini-Review Integrin-linked kinase (ILK) and its interactors: a new paradigm for the coupling of extracellular matrix to actin cytoskeleton and signaling

How intracellular cytoskeletal and signaling proteins connect and communicate with the extracellular matrix (ECM) is a fundamental question in cell biology. Recent biochemical, cell biological, and genetic studies have revealed important roles of cytoplasmic integrin-linked kinase (ILK) and its interactive proteins in these processes. Cell adhesion to ECM is an important process that controls cell shape change, migration, proliferation, survival, and differentiation. Upon adhesion to ECM, integrins and a selective group of cytoskeletal and signaling proteins are recruited to cell matrix contact sites where they link the actin cytoskeleton to the ECM and mediate signal transduction between the intracellular and extracellular compartments. In this review, we discuss the molecular activities and cellular functions of ILK, a protein that is emerging as a key component of the cell–ECM adhesion structures.
Evaluation Of Digestibility Value And Rumen Fermentation Kinetic Of Goat’s Local Feed-Based Ration

: Digestibility is an indication of the presence of nutrient available in the feed ingredient consumed by livestock. The quality of nutrient is determined by the level of digestion of the food substances absorbed in the digestive tract. This research aimed to evaluate the dry matter digestibility (DMD), organic matter digestibility (OMD), concentration of volatile fatty acid (VFA) and N-NH 3 with the addition of local feed Supan-supan (Neptunia plena L. Benth) and Kolomento (Leersia hexandra Swartz). The reseach was conducted on January 2018 in Animal Feed and Nutrition Laboratory of Animal Husbandry and Agriculture Faculty, Diponegoro University, Semarang. The research method used in vitro analysis with completely randomized design with five treatments is T 1 (Leersia hexandra Swartz 100 %); T 2 (Neptunia plena 100%); T 3 (Leersia hexandra 15%+(Neptunia plena L. Benth 15%+70% Other Feedstuffs); T 4 (Leersia hexandra 20%+(Neptunia plena 20% + 60% Other Feedstuffs); T 5 (Leersia hexandra Swartz 25% + (Neptunia plena L. Benth 25%+50% Other Feedstuffs). The data were analyzed with analysis of variance at 95% significant level, followed by Duncan Multiple Range Test. The resource results showed that the treatment had significant impact (P<0.05) to KcBK, KcBO, N-NH 3, and VFA. The results indicated that T 3 has the best KcBK and KcBO 40.13% and 46.63%. The best production of N-NH 3 contained in T 2 =8.18 mM and the best VFA T 5 =50.21 mM. It was concluded that use of local feedstuffs by quantity can contribute to the production of goats. 25%+50% Bahan lain). Data penelitian dianalisis menggunakan Analisis Variansi (ANOVA) taraf 95% mengetahui perbedaan antara perlakuan dan dianalisis lanjut menggunakan Duncan's Multiple Range Test (DMRT). Hasil penelitian memperlihatkan bahwa perlakuan berpengaruh nyata (P<0,05) terhadap KCBK, KCBO, N-NH 3, VFA.
Epidemic Genotype of Coxiella burnetii among Goats, Sheep, and Humans in the Netherlands

Acknowledgments We acknowledge the Public Health Laboratory Service, the Hospital Authority, and the Centre for Health Protection, Department of Health of the Hong Kong Special Administrative Region Government, for publishing infl uenza surveillance data online. We thank the Department of Microbiology, Queen Mary Hospital, Hong Kong, for providing reference laboratory data. In addition, we are grateful to BroadLearning Education (Asia) Ltd and the participating schools for providing absenteeism data.
ABOUT CHEMICAL COMPOSITION OF SUPERGIANT PMMR145 IN SMALL MAGELLANIC CLOUD. OSMIUM.

The abundance analysis of six K-supergiants of the Small Magellanic Cloud (Hill 1997) showed that the heavier elements (La, Ce, Nd, Eu) have the excess relative to iron [El/Fe]=+0.4 dex, on average, for the sample of ﬁve stars (PMMR23, PMMR27, PMMR48, PMMR102, PMMR145). We made the identiﬁcation of spectral lines in the spectrum of PMMR145 based on the comparison of synthetic and observed spectra. The absorption lines of elements heavier than lanthanides including osmium were identiﬁed and abundance of osmium was found ([Os/Fe]=0.59 dex).
Supriya Pal* Mohammed Amine Chabane* Inclusion of Artificial Intelligence in the Recruitment Process in the Indian Corporate Sector

As the Indian corporate sector is moving towards digitization, one observes an immense potential for the utilization of artificial intelligence in the human resource department, especially in recruitment. This research paper will be analyzing the future applications of Artificial Intelligence ( AI) in the recruitment process and also, how this technology can/will reshape the ‘human resources department’ (HRD) holistically. The analysis will also be done in order to explore the strength and weakness of the existing corporate sector, to be more precise, the HRD dynamics in accepting AI. The research is done with a future orientation kept in mind, wherein the forecasting is done more on the basis of the current requirements of AI.
From the Editors Introducing Teaching Case Studies in Project Management Journal®

Project Management Journal® is an academic journal dedicated to publishing research relevant to researchers, reflective practitioners, and organizations. In this regard, as scholars, we have a double role: first, to advance project studies (Geraldi & Söderlund, 2018) in an academic world with sound research; second, to create new knowledge from research, which transfers to the practice organizations. This relation between theory and practice is not new nor unique to the project management field as it has been a major issue for philosophers of science for centuries (e.g., Aristotle, Descartes). There are several means to establishing a close relationship between scholars and professionals. Van de Ven (2007) suggested the term engaged scholarship as a broad approach to establishing a dynamic conversation between scholars and professionals during all phases of research. Another important means to bridging theory and practice is through learning and education and, more specifically, by using teaching case studies. In the research context, case studies are mainly associated with a qualitative approach (Yin, 2013) and provide rich accounts of real situations, which reveal hidden patterns or practices in specific contexts. In this issue, two articles based on research case studies are presented (Li, Lu, Ma, & Kwak, 2018; Amako-Gyampah, Meredith, & White Loyd, 2018). One opportunity for scholars to enhance the impact of their research is to transform the research case study into a teaching case study. In doing so, research results are confronted with realistic practical problems in the classroom. In learning situations, teaching case studies contribute to critical sense development and the most important competence: reflexivity. We are pleased to announce that Project Management Journal® is now accepting teaching cases and their accompanying instructor’s manuals for a new section in the Journal. This section will provide what project management instructors have been clamoring for—peer-reviewed, full-length teaching cases that address the varied concepts taught in the project management curriculum. In fact, instructors have requested appropriate teaching cases more often than any other instructional materials over the last several years, and we are doing our best to satisfy this need. The case studies in PMJ ® will follow typical teaching case conventions. Guidelines can be found at https://www.pmi . org/learning/publications/project-management-journal/ guidelines-for-case-submissions. The main requirements are as follows:
EXPERIMENTAL EVALUATION OF EMOTIONAL AWARENESS REGARDING ARRANGEMENTS OF PICTOGRAMS

Recently, there is a lot of attention and research on using pictograms as a communication method. In order to express sentence-level concepts with pictograms, it is necessary to combine several pictograms. Traditionally, this is done using a linear layout. However, this requires guessing of the overall meaning from the meaning of the individual pictograms. Therefore, we have proposed two-dimensional pictogram arrangements (called Picture Text), which we expect to easier to understand. In this paper, we report on an experiment investigating whether this is indeed the case. The experiment used pairwise comparison of five methods of expression: written text, illustrations, photographs, linear pictogram layouts, and Picture Text. Besides the rate of correct answers, we also obtained an estimate for the degree of intuition directly from the subjects. Using a t-test, we found that the degree of intuition differed significantly (p < 0.05) between linear pictogram layouts and other methods of expression. The more than one hundred subjects ranged from children to people in their seventies. Children from a school for the disable formed a separate group of subjects. We discuss the effect of variables such as age. In conclusion, we can say that Picture Text is clearly superior to linear pictogram layouts, and is on par with written text, illustrations, and photographs when communicating sentence-level concepts. Picture Text is therefore suitable as a new medium of expression and communication.
b 2 -Adrenoceptors on tumor cells play a critical role in stress-enhanced metastasis in a mouse model of breast cancer

Chronic stress accelerates metastasis – the main cause of death in cancer patients – through the activa- tion of b -adrenoceptors ( b ARs). We have previously shown that b 2 AR signaling in MDA-MB-231 HM breast cancer cells, facilitates invadopodia formation and invasion in vitro . However, in the tumor microenviron- ment where many stromal cells also express b AR, the role of b 2 AR signaling in tumor cells in metastasis is unclear. Therefore, to investigate the contribution of b 2 AR signaling in tumor cells to metastasis in vivo , we used RNA interference to generate MDA-MB-231 HM breast cancer cells that are deﬁcient in b 2 AR. knockdown in tumor cells reduced the proportion of cells with a mesenchymal-like morphology and, as expected, reduced tumor cell invasion in vitro . Conversely, overexpression of b 2 AR in low metastatic MCF-7 breast cancer cells induced an invasive phenotype. Importantly, we found that knockdown of b 2 AR in tumor cells signiﬁcantly reduced the impact of stress on metastasis in vivo . These ﬁndings highlight a crucial role for b 2 AR tumor cell signaling in the adverse effects of stress on metastasis, and indicate that it may be necessary to block b 2 AR on tumor cells to fully control metastatic progression.
Intravenous cell therapy with mesenchymal stem cells from donor rats with pulmonary hypertension reduces right ventricular pressure overload and reverses right ventricular hypertrophy in recipient rats with pulmonary artery hypertension

Background: Pulmonary artery hypertension (PAH) is characterized by progressive increase in pulmonary artery pressure leading to right ventricular (RV) hypertrophy, RV failure and sudden cardiac death. Standard treatment is still inadequate for PAH. Stem cell therapy may constitute a new treatment modality for PAH patients. Purpose of the study: To test whether administration of bone marrow-derived mesenchymal stem cells (MSCs) obtained from donor rats with monocrotaline (MCT)-induced PAH to rats with MCT-induced PAH resulted in ( i ) decreased pulmonary artery pressure, ( ii ) reversal of RV hypertrophy (RVH), and ( iii ) improvement of RV function. Methods: At day 1, healthy female Wistar rats received PBS (group 1, n=10) or 60 mg/kg subcutaneous MCT (groups 2-4, each n=10) to induce PAH. At day 14, group 1 (Control) and group 2 (untreated PAH) received intravenous injection of PBS, group 3 (MSC-treated PAH) received 10 6 MSCs (group 3), and group 4 (SF-treated PAH) received 10 6 skin fibroblasts. MSCs were obtained from donor rats which received MCT (60 mg/kg) 28 days prior to bone-marrow harvesting. SFs were obtained from healthy rats. At day 28 the rats were instrumented to assess, RV function by combined pressure-conductance catheter. Subsequently, rats were sacrificed. RVH was quantified by weighing the RV free wall relative to the LV including the interventricular septum (IVS). Immunohistochemistry was performed to assess changes in the extracellular matrix of the RV. Results: Comparing group 2 vs 1 indicated that MCT induced PAH (42±17 vs. 27±5 mmHg, p<0.05), RVH (RV/(IVS+LV) weight ratio of 0.47±0.12 vs. 0.25±0.04, p<0.001) and depressed LV ejection fraction (43±6% vs. 56±11%, p<0.005). MSC treatment (group 3) limited PAH
Differences in Indexing Term Vocabularies and Agreement with Differences in Indexing Term Vocabularies and Agreement with Subject Specialists Subject Specialists

Index terms are an important component in considering a scientific topic. In a real sense, the indexing terms represent the vocabulary and language of the topic. Study of these critical terms has employed human and machine techniques. Computerized indexing systems can accurately and completely recognize terms, but the different strategies for organizing and evaluating the concepts (i.e., informative terms) and related issues may not be effective in accomplishing the desired descriptive actions. This paper explored the results of two computer supported approaches in indexing scientific documents against a background of simple random generation of informative terms in varying sized text blocks. One method (RefViz) is based on the Latent Semantic Indexing with Multidimensional Scaling (LSI,MDS) approach. This system identifies potential indexing terms from the natural language text. The terms are stripped from the text, organized using statistical criteria and are used to classify documents based on assigned ‘meanings’ or themes. These themes are based on frequency and correlation and each document is assigned one. The second (Idea Analysis) also uses the natural language text. In this system, the terms are identified within the authors’ sentences and couplets extracted. A single document may be represented by 100 or more term couplets representing the authors’ thoughts. Both systems are superior to random sampling. The results suggested that indexing based on the authors’ thoughts may be better than indexing based on statistical criteria.
A Simple Language for Describing Autonomous Agent Behaviors

— we present a simple and declarative language for describing autonomous behaviors in the paradigm of multi-agent systems. This framework is based on the notion of “goal constraints” and the satisfaction of these goals is done by iterative improvement, with the help of “repair functions” which will partially fulfill them, step by step. We can thus define both deterministic and non-deterministic behaviors. This framework is aimed at describing autonomous systems where the context is changing or unknown, thus goals can be re-evaluated or solved in different ways when changes occur. We will illustrate it with a simple example of life-like navigation behaviors for agents in unknown environments.