Miracle-dz/UniFAR-FTUs huggingface dataset:
How and When to Use Which Fit Indices? A Practical and Critical Review of the Methodology

With the help of statistical software programs, such as AMOS, Lisrel, R, Matlab, and many equivalents, most of the complicated research models have become more computable and easily understandable. Even the most complicated and complex models with various relationships can be easily computed with the help of software. Although with slight differences, outputs are consistent, and tables are mostly comprehensible. However, with the increasing curiosity and amount of knowledge about the research methodology, these simple looking outputs start to become more complicated and deeper. Even though aforementioned statements seem contradictory, what we imply here is very sound to a midlevel researcher because, as knowledge and understanding of statistics deepens, questions and doubts about from where, how, and why these numbers are calculated increase. Curiosity about the fit indices, chi-square and degrees of freedom, modification indices, covariances, and residuals begin to arouse. In this review and commentary, we focus on the infamous CMIN (or chi-square), different model definitions, and calculation of fit indices by the help of these models while avoiding statistical jargon as much as possible. With the aim of putting an end to a decade long debate, when and how to use which fit indices, what they really indicate, and which numbers refer to good or bad fit is also discussed.
Conserved structure of the NPR1 gene distal promoter isolated from a chili pepper (Capsicum annuum L.) in West Sumatera

Background: The non-expressor of pathogenesis related gene 1 (NPR1) protein is one of the key regulators in the systemic acquired resistance plant defense system. The cis-acting elements of its distal promoter gene are characterized by salicylic acid inducing elements such as the W-box, RAV1AAT and ASF1, accompanied by enhancer and silencer elements. This study was aimed to isolate and characterize the distal promoter sequence of the NPR1 gene (PD_CbNPR1) from the chili pepper (Capsicum annuum L.) genotype Berangkai, a local genotype known to produce large yields, but is susceptible to viral infection. Elucidating its sequence structure will open a broad range of possibilities to engineer the NPR1 gene expression which is important to improve chili pepper resistant. Methods: PCR-based cloning combined with a primer walking strategy was applied in this study. The BioEdit tool was used to edit the sequence and verify sequence integrity, while homology analysis was conducted with BLASTn searching. Identification of a cis-acting element was detected by PLACE, PlantCare, and PlantPAN. Results: Isolation of the complete distal promoter sequence of PD_CbNPR1 produced a fragment 5,950 bp in size. BLASTn search analysis indicated that PD_CbNPR1 sequence is highly conserved (99% identity) showing only a single nucleotide polymorphism (SNP) (base substitution) compared with its reference sequence. Analysis using PLACE tools successfully identified nine cis-acting elements containing a W-box, WLE1, RAV1AAT, TATA-box, CAAT-box, GARE and GT1 with multi repeats and diverse motives, as well as enhancer and silencer elements, which is characterized by a CCAAT-box and GAGAAATT pattern, respectively. Conclusion: The distal promoter of the NPR1 gene is highly conserved, showing only one SNP caused by one base substitution event.
Smart Airport Model Implementation as A Tourist Attraction in West Java International Airport Kertajati

West Java International Airport is located in Majalengka Regency, West Java. BIJB Kertajati Airport received an award in the Smart Airport category at the Airport Award event. The airport will become a tourist attraction with a minimal area to hold passengers before their flight. This study aims to find out how the implementation of the smart airport model as a tourist attraction at the West Java International Airport (BIJB) Kertajati. The study used descriptive qualitative methods. The data analysis technique used was the triangulation. The process of data collection was done through an interview process with airport managers, passengers, and the public through direct observation. Based on the results of the analysis, it can be seen that smart airport is an innovation to simplify and make passengers feel a new experience and can meet the needs of passengers for entertainment or attraction while waiting for departure time. BIJB also has an Aero city area in which there will be a playground such as a theme park, accommodation, and others. With all the attractions in Aero city, BIJB’s smart airport can be a tourist attraction that gives new experiences and attracts visitors to come.
Generative Adversarial Network Combined with Multitasking to X-ray Cardiac Segmentation

Medical image organ segmentation methods have made unprecedented breakthroughs in recent years. Computer-aided segmentation of medical images can greatly reduce the workload of doctors. Based on the characteristics of chest X-ray images, we proposed improvements over previous Generative Adversarial Network image segmentation methods by jointly a multi-task deep segmentation network for X-ray cardiac segmentation. Dilated convolution has also been added to the generator network to improve segmentation precision. The improved method verifies its performance on the public data set Japanese Society of Radiological Technology (JSRT) and compares it with other well-known medical image segmentation methods. The experimental results verify the effectiveness of the method.
Chemistry and analysis of lignin.

Historically, lignin has been regarded as an integral component of dietary fiber. Trowell (1974) originally defined dietary fiber as ‘‘that portion of food which is derived from the cell walls of plants and is digested very poorly by human beings. ’’ Lignin is clearly included in this definition since it is recovered virtually unaltered from fecal material. Later definitions sought to characterize fiber components and human digestive actions more precisely (Trowell et al., 1976) because other plant polymers exist that are not cell wall associated but are also poorly digested by the upper digestive tract. Although there have been several different interpretations of the original dietary fiber hypothesis, one should remember that they all refer to fiber sources from edible plant sources: definitions of dietary fiber have never referred to nonedible plant material because the human digestive tract is not equipped to handle them. More recently, newer definitions of dietary fiber have been proposed that seek to include both historical dietary habits and human physiological responses (Mongeau et al., 1999). The emphasis from Mongeau et al. (1999) is to consume foods in their natural state, avoiding overpeeling and overprocessing foods, to maintain dietary fiber and its associated nutrients. In all instances, dietary fiber definitions have included lignin because of its chemical association with cell wall polysaccharides and because of its poor digestibility in the small intestine. Thus lignin is an integral component of dietary fiber. Although lignin is commonly referred to as a single component, it should be noted that lignin is not a single species but has a complex and variable structure. Thus, one should refer to lignins rather than lignin. In the present chapter we shall use the singular term to emphasize the fact that none of the analytical methods can measure pure lignin without losing or destroying part of it (Giger, 1985).
Ignition front structure in a methane-air jet. 1

We present results from computations of an igniting non-premixed methane jet in coflo w air using the GRImech1.2 chemical mechanism. Ignition is initiated in the jet mixing layer with the application of a short-duration heat-flux pulse along a narrow strip. An ignition kernel is formed in the rich mixture region inside the jet and is observed to propagate towards the stoichiometric mixture fraction line in the mixing layer. As the kernel penetrates the stoichiometric region, we observe the formation of a thin circular flame front which burns through the mixing layer and extinguishes at the lean edge. This leaves two edge-flames propagating away from this location along the stoichiometric line. We analyze the reaction zone internal structure and the chemical pathways in the flame fronts during the entire process, comparing them to those of 1D premixed flames at similar stoichiometries, and to results from earlier edge-flame studies. The fronts are seen to move at speeds 2-3 times that of the corresponding premixed flame, as they burn through preheated premixed radicals on the edge of the ignition zone. The strength of the front propagating away from the ignition zone is seen to decay gradually as it encounters lower-temperature gases with diminished availability of radicals.
Auxiliary Stacked Denoising Autoencoder based Collaborative Filtering Recommendation

In recent years, deep learning techniques have achieved tremendous successes in natural language processing, speech recognition and image processing. Collaborative filtering(CF) recommendation is one of widely used methods and has significant effects in implementing the new recommendation function, but it also has limitations in dealing with the problem of poor scalability, cold start and data sparsity, etc. Combining the traditional recommendation algorithm with the deep learning model has brought great opportunity for the construction of a new recommender system. In this paper, we propose a novel collaborative recommendation model based on auxiliary stacked denoising autoencoder(ASDAE), the model learns effective the preferences of users from auxiliary information. Firstly, we integrate auxiliary information with rating information. Then, we design a stacked denoising autoencoder based collaborative recommendation model to learn the preferences of users from auxiliary information and rating information. Finally, we conduct comprehensive experiments on three real datasets to compare our proposed model with state-of-the-art methods. Experimental results demonstrate that our proposed model is superior to other recommendation methods.
How Blockchain Affects the Technological Strategy of the Financial Industry: An Analysis Based on Knowledge Discovery in Text

Purpose – The main objective of this article is to investigate how blockchain is affecting the technological strategy of the financial industry. Theoretical framework – Our theoretical framework is structured based on four approaches: Blockchain; Blockchain Advantages; Technology Strategy; Blockchain Technology Strategy. Design/methodology/approach – We conducted an exploratory study using knowledge discovery in texts (KDT), with the support of text mining tools. We collected and analyzed contents of a set of news published on the Web about Blockchain. A total of 2,605 blockchain web news items were extracted from the business media worldwide, such as Forbes, Fortune, Financial Post and Business World. We explored the text dataset using sentiment analysis, opinion mining, text association analysis, and correspondence analysis. Findings – The results showed that blockchain technology has the potential to affect the transactions through a common platform. Additionally, the results demonstrated the advantages of blockchain technology for cross-border payment systems. Research, Practical & Social implications – We elaborate four theoretical propositions that may guide research and help practitioners to identify challenges and opportunities for blockchain technology. Originality/value – Our study revealed how blockchain has been affecting the technology strategy of the financial industry and highlighted two starting trajectories: the establishment of private blockchain and its application in the cross-border payment services.
A Service Management Metric with Origin in Plant Management

The discipline of industrial engineering (IE) was originated in the US by Frederick W. Taylor, who first applied what he termed scientific management to machine shop management in the 1880s. IE expanded world-wide with applications of work measurement to all manner of manufacturing, then to services. A century later, as the Japanese practice of Total Productive Maintenance (TPM) became known in the US, the associated equipment management metric Overall Equipment Effectiveness (OEE) became well-known as a production metric that could be applied to individual manufacturing machines, production lines, and the overall production system. In this chapter, illustrations of the calculation of OEE are provided, along with modification of the three OEE inputs (availability, performance efficiency, and quality rate) to create a new service management metric Overall Service Effectiveness (OSE). Definitions and measures of service quality are reviewed. The first published application of OSE was to a city public transportation system, and is reviewed as a prototype. Essentially, applications of OSE require the industrial engineer to define service-specific measures of availability, processing rate, and quality at the management’s level of interest: work station, process, or system. The data collected to calculate OSE will also point toward actions that would improve OSE.
What is Humility and Do We Need It? Validating a Humility Questionnaire

This study aimed to validate the Values in Action Inventory of Strengths (VIA-IS) Humility-Modesty subscale (Peterson & Seligman, 2004) using a Croatian sample (N = 783; 71.6% women). In addition, we assessed the psychometric characteristics (e.g. internal consistency reliability and factor structure) of the measure, congruent validity using a correlation analysis with measures of humility (the Humility-Arrogance Semantic Differential and the Other Focus Scale), convergent validity using the Self-Compassion Scale, and discriminant validity (using the measure of narcissism from the dark triad). Multiple regression analysis was then conducted in order to assess whether humility statistically significantly contributes to the overall satisfaction with life. The factor analysis yielded two factors. The first factor represented modest self-presentation, while the second factor pertained to dispositional humility, an individual’s view of oneself as humble. Both factors marginally, but significantly contributed to life satisfaction, suggesting that humility is an important asset. This study’s results show the importance of validating constructs across different social settings and call for further research on humility in Croatia and internationally.
Bridging the Efficiency Gap Between Machine Learned Potentials with ab initio Accuracy and Classical Force Fields

Machine learning methods have nowadays become easy-to-use tools for constructing accurate high-dimensional interatomic potentials. Although they are generally orders of magnitude faster than first-principles calculations, most ML potentials remain much slower than classical force fields, at the price of using more complex structural descriptors. To bridge this efficiency gap, we propose an embedded atom neural network (EANN) approach with simple piecewise switching function based descriptors, resulting in a favorable linear scaling with the number of neighbor atoms. Numerical examples validate that this piecewise EANN model can be over an order of magnitude faster than various popular machine learned potentials with comparable accuracy, approaching the speed of fastest embedded atom method (i.e. several {\mu}s/atom/core). The extreme efficiency of this approach promises its potential in first-principles atomistic simulations of very large systems and/or in long timescale. Piecewise descriptors may also be adapted to accelerate other machine learning models.
METHYL ESTER (BIODIESEL) PRODUCTION FROM MICRO ALGAE AND LINSEED MIXING OIL

1. M.Tech student, Department of Chemical Engineering and A.U. C.E (A), Andhra University, Visakhapatnam. 2. Professor, Department of Chemical Engineering, A.U. C.E (A), Andhra University, Visakhapatnam. 3. Assistant Professor, Department of Chemical Engineering, A.U. C.E (A), Andhra University, Visakhapatnam. Manuscript Info Abstract . Manuscript History Received: 10 April 2020 Final Accepted: 12 May 2020 Published: June 2020
MEASURING AND DECOMPOSING TOTAL FACTOR PRODUCTIVITY OF VIETNAMESE SEAPORTS

: In this paper the total factor productivity of Vietnamese seaports is measured and decomposed into three main components, namely technical, scale and mix efficiency. The analysis results using the data of 40 seaports show that the seaport sector is underperformed, while seaports in the northern region are the most efficient group on any measures of efficiency, southern ports are the least efficient group if scale efficiency is utilised. It has also been found that container ports outperform non-container ports, and those belonging to logistics companies are overall more efficient than their partners operated by the local governments.
Spatial market integration and price transmission in major potato markets of Panjab, Pakistan

Application: These results suggest for market integration and competition rather than collusion in Potato markets in Punjab, Pakistan, and provide little justiﬁcation for government intervention designed to improve competitiveness or to enhance market eﬃciency. Findings: The empirical results show as major Potato markets are integrated, i.e., there exist the law of one price. These ﬁnd-ings also supported the results of the Granger causality analysis. The results of pairwise granger casualty show the direction of price transmission between the selected Potato markets in Punjab, Pakistan. Methods/Statistical analysis: The study estimated the data by using the Johansen Co-integration (JJ) technique, vector error correction model, and Vector autoregressive (VAR) model. Back-ground/Objectives: This study investigated market integration and asymmetric price transmission in the potato markets for the seven major Potato markets, i.e., Okara, Faisalabad, Sargodha, Lahore, Gujranwala, Multan, and Rawalpindi in the province of Punjab, Pakistan.
PENGARUH KEPUTUSAN INVESTASI, KEPUTUSAN PENDANAAN, DAN KEBIJAKAN DIVIDEN TERHADAP NILAI PERUSAHAAN PADA SEKTOR ANEKA INDUSTRI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2014-2018

This study aims to determine the effect of invesment decisions, funding decisions, and dividend policy on the value of companies Miscellaneous Industry listed on the IDX period 2014 to 2018. The dependent variables in this study is values of companies while the independent variable in this study are invesment decisions, funding decisions, and dividend policy. The data used in this study are secondary data obtained from the official website of Indonesia Stock Exchange. Total of sample is 6 companies selected using purposive sampling method. Data analysis used in this research is panel data regression analysis with multiple linier regression method. The results of this study indicate that jointly invesment decisions, funding decisions, and dividend policy have a significant effect on the value of companies in the miscellaneous industry listed on the IDX period 2014-2018. Partial research results that invesment decisions and funding decisions have a significant effect on corporate value. Keywords : Invesment Decision, Funding Decision, Dividend Policy, Corporate Value DOI : http://doi.org/10.5281/zenodo.3928952
Refinement of the assignment to the ACMG/AMP BS3 and PS3 criteria of eight BRCA1 variants of uncertain significance by integrating available functional data with protein interaction assays

The clinical screening of cancer predisposition genes has led to the identification of a large number of variants of uncertain significance (VUS). Multifactorial likelihood models that predict the odds ratio for VUS in favor or against cancer causality, have been developed, but their use is limited by the amount of necessary data, which are difficult to obtain for rare variants. The guidelines for variant interpretation of the American College of Medical Genetics and Genomics along with the Association for Molecular Pathology (ACMG/AMP) state that “well-established” functional studies provide strong support of a pathogenic or benign impact (criteria PS3 and BS3, respectively) and can be used as evidence type to reach a final classification. Moreover, the Clinical Genome Resource Sequence Variant Interpretation Working Group developed rule specifications to refine the PS3/BS3 criteria. Recently, Lira PC et al. developed the “Hi Set” approach that generated PS3/BS3 codes for over two-thousands BRCA1 VUS. While highly successful, this approach did not discriminate a group of variants with conflicting evidences. Here, we aimed to implement the outcomes of the “Hi-set” approach applying Green Fluorescent Protein (GFP)-reassembly assays, assessing the effect of variants in the RING and BRCT domains of BRCA1 on the binding of these domains with the UbcH5a or ABRAXAS proteins, respectively. The analyses of 26 clinically classified variants, including 13 tested in our previous study, showed 100% sensitivity and specificity in identifying pathogenic and benign variants for both the RING/UbcH5a and the BRCTs/ABRAXAS interactions. We derived the strength of evidences generated by the GFP-reassembly assays corresponding to moderate for both PS3 and BS3 criteria assessment. The GFP-reassembly assays were applied to the functional characterization of 8 discordant variants from the study by Lyra et al. The outcomes of these analyses, combined with those reported in the “Hi Set” study, allowed the assignment of ACMG/AMP criteria in favor or against pathogenicity for all 8 examined variants. The above findings were validated with a semi-quantitative Mammalian Two-Hybrid approach, and totally concordant results were observed. Our data contributes in shedding light on the functional significance of BRCA1 VUS and on their clinical interpretation within the ACMG/AMP framework.
Cast adrift: Physiology and dispersal of benthic Sargassum spinuligerum in surface rafts

Connectivity of populations through the transfer of individuals is one of the key processes for maintaining ecosystem stability and resilience of coastal ecosystems. During reproduction, dislodged seaweeds of the genus Sargassum form large pelagic surface rafts that can persist for several weeks, and potentially act as a dispersal vector. In surface rafts, seaweeds are rapidly exposed to increased light, elevated temperatures, and altered hydrodynamic conditions. Acclimation to surface conditions is necessary for survival during the rafting phase, but there is limited knowledge of seaweed physiology in rafts. To understand the mechanisms for acclimation, we created rafts of floating Sargassum spinuligerum for 2 weeks and compared these experimental fronds to those attached to the seafloor. We measured nutrients, photosynthetic and nonphotosynthetic pigments, and phlorotannins to investigate their role in the persistence of mature Sargassum at the ocean surface as indicated by photosynthetic rates and reproductive status. We also studied potential surface movement of the rafted seaweed over 3‐weeks of particle tracking using an existing oceanographic model. Photosynthesis and reproductive status were similar between benthic and rafted seaweeds, indicating no change to overall metabolic processes during rafting. While phlorotannin concentrations and photosynthetic pigments were unchanged, photoprotective xanthophyll pigments were more abundant in rafted individuals, suggesting acclimation to surface light conditions. Our results suggest that, in the short term, S. spinuligerum employ chemical strategies to acclimate and maintain physiological processes in the rafting environment and potentially fix more carbon, allowing these rafts to act as dispersal vectors among populations over tens of kilometers apart.