Miracle-dz/UniFAR-FTUs huggingface dataset:
MiR-625 Inhibits Tumor Cell Invasion, Migration and EMT by Negatively Regulating the Expression of Resistin in Non-Small Cell Lung

Purpose: To investigate the role of miR-625 on the invasion, migration, and epithelial – mesenchymal transition (EMT) of non-small cell lung carcinoma (NSCLC) cells, and the related mechanisms. Materials and Methods: The expression levels of miR-625 and Resistin mRNA in 80 pairs of NSCLC and para-cancerous lung tissues were analyzed by RT-PCR. The relationship between miR-625 and Resistin was predicted by bioinformatics and veri ﬁ ed by a dual-luciferase gene reporter assay. NSCLC cells were transfected with Resistin plasmids, si-Resistin plasmids, miR-625 mimics, or miR-625 inhibitors, and proliferation, invasion, and migration were determined by CCK-8, Transwell, and wound scratch assays, respectively. EMT-related proteins were determined by Western blot assay. A xenograft model of NSCLC was established in nude mice to validate the in vitro ﬁ ndings. Results: MiR-625 was signi ﬁ cantly downregulated in NSCLC tissue compared to paired para-cancerous lung tissues, while Resistin was markedly increased in tumor tissue. The expression levels of miR-625 and Resistin were negatively correlated in NSCLC tissues, and high levels of Resistin correlated with greater tumor differentiation, more advanced clinical staging, and lymph node metastasis. Furthermore, Resistin was a target gene of miR-625, and the latter downregulated Resistin to inhibit the EMT, proliferation, invasion, and migration of NSCLC cells in vitro, likely via the PI3K/AKT/Snail signaling pathway. Finally, miR-625 also inhibited the tumorigenic effect of NSCLC cells in vivo by downregulating Resistin. Conclusion: MiR-625 acts as a tumor suppressor in NSCLC and inhibits tumor cell invasion and metastasis by blocking the Resistin/PI3K/AKT/Snail pathway and by decreasing EMT.
Simultaneous estimation of Ocean mesoscale and coherent internal tide Sea Surface Height signatures from the global Altimetry record

Abstract. This study proposes an approach to estimate the Ocean Sea Surface Height signature of coherent internal tidesfrom 25 years of along-track altimetry record, with a single inversion over time, resolving both internal tide contributions andmesoscale eddy variability. The inversion is performed through reduced-order basis with conjugate gradient resolution. Theparticularity of this approach is to mitigate the potential aliasing effects between mesoscales and internal tide estimation fromthe uneven altimetry sampling (observing the sum of these components) by accounting of their statistics simultaneously, while other methods generally use a prior for mesoscales. The four major tidal components are considered (M2,K1,S2,O1) over theperiod 1992–2017 on a global configuration. From the solution, we use altimetry data after 2017 for an independent validation,to evaluate the benefits of the simultaneous inversion, and also to compare the skills with an existing model.
CFC Exam and Accounting Education: An analysis of HEI characteristics and approval indexes

Objective: to verify which characteristics of Higher Education Institutions (HEI) are related to the approval of students in the CFC certification exam. Method: The institutional characteristics of 741 HEI taking the Exam’s two editions of 2017 were analyzed. Inflated Beta Regression analysis was used to treat data. Results: the institutional characteristics that were positively correlated with higher approval indexes in the CFC exam include: ENADE score; IGC score; belonging to a public university; being located in a Brazilian capital; being well ranked in the Folha University Ranking; and offering graduate programs in Accounting. The variables negatively correlated were: Professors’ work regime, Academic organization, and location in the Midwest, Northeast or North. Contributions: The expansion of Accounting Sciences in Brazil may not be associated with the obtaining of knowledge that is necessary for professional practice, as the exploratory variable RUF suggests. These results enable HEI managers to identify the institutional attributes that contribute to students’ good performance in the Exam, supporting the management of factors that can be changed, resulting in improved training in accounting.
PAYOUT INCREMENTAL AND FAMA & FRENCH THREE FACTOR MODEL

This article sought to investigate whether the model adapted from Fama and French with the inclusion of the Payout factor (F&F with Payout) would allow a better understanding of the returns of the portfolios of companies listed in Brazil, Bolsa, Balcão between 2004 and 2018 than the model of three factors from Fama and French. The Payout factor Award is obtained by calculating the difference in return between the companies that paid and those that did not pay Incremental Payout. Thus, this four-factor model is defined by the addition of this factor to the factors Award for market risk (RM-RF), Award for the size factor of the company (MbS), defined by the market value of equity, and the Premium by the Book-to-market factor ( HML), which is an index defined by the accounting value and market value ratio of equity. This 4Factor model had its explanatory power tested by the return of 12 portfolios created from the orthogonalization of their risk factors and it was more efficient than the three-factor model in explaining the return of eight of the portfolios formulated, with emphasis on an explanatory capacity of more than 70% for the lower value (small) portfolios that do not pay dividends and pay incremental dividends, therefore assuming a relevant role for the investment decisions in portfolios that have extreme dividend distribution. In addition, the results show that the Payout factor was significant in nine of the twelve portfolios. In portfolios where there was no dividend payment, their impact was negative, implying that the higher the return of these portfolios, the lower the probability of a premium for the Payout factor. In turn, for the portfolios that paid minimum and incremental dividends, there is a direct relationship with the return of the cards. Thus, this study corroborates the theories concerning the relevance of dividends by Lintner (1956) and Gordon (1959). Article presented at the XL Meeting of ANPAD EnANPAD, from 25 to 28 September 2016 in Costa do Sauipe/BA, and at XXXVI Enegep, from 3 to 6 October 2016 in João Pessoa/PB. Submission on 8/3/2019. Review on 11/19/2019. Accepted on 2/28/2020. Published on 4/22/2020. Kliver Lamarthine Alves Confessor, Joséte Florencio dos Santos Revista Catarinense da Ciência Contábil, ISSN 2237-7662, Florianópolis, SC, v. 19, 1-18, e2906, 2020
EVIDENCE OF GENETIC DIVERSITY AND TAXONOMIC DIFFERENTIATION AMONG ACACIA SENEGAL POPULATIONS AND VARIETIES IN KENYA BASED ON RANDOMLY AMPLIFIED POLYMORPHIC DNA MOLECULAR MARKERS

Acacia senegal is a multipurpose tree species that forms an essential component of many farming systems in Sub-Saharan Africa where it is commercially exploited for gum arabic production. However, the species is yet to be put to optimal production in some countries due to inadequate information on its population genetics and taxonomic delimitation. This study reports the use of 13 randomly amplified polymorphic DNA (RAPD) markers to determine genetic diversity and taxonomic relationships among 12 natural populations of A. senegal in Kenya. High genetic diversity was found for all populations. Mean gene diversity (He) for all populations was at 0.288 with effective number of alleles per locus (Ne) of 1.496. Analysis of molecular variance (AMOVA) revealed most genetic variations residing within (60%) rather than among populations. However, significant differentiation was detected among populations (ɸst = 0.130; P < 0.001). Cluster analysis based on similarity coefficient delimited three main groups corresponding to the three putative varieties of A. senegal namely senegal, kerensis and leiorhachis. The RAPD technology suggested high genetic diversity within the species and taxonomically differentiated the three varieties, however, there was evidence of admixture among the varieties. For high quality gum production and better economic returns, gum arabic collections should be designed based on the varieties and their locations. Seed collections for tree improvement or conservation programmes should take into account the groups detected for quality controls.
Highlights on Chaetomium morphology, secondary metabolites and biological activates

Endophytic fungi always attract attention due to their generous production of bioactive and chemically novel compounds that have medical, agriculture, industrial applications. This review focused on Chaetomium as a model of endophytic fungi rich in therapeutic agents that have known medicinal and industrial application. Moreover, understanding the importance of this potent fungus encourage further studies to identify novel metabolites, and at the same time employing already known metabolites to evaluate their activity in order to be used in additional applications.
Studying the Process of Extracting Sugary Substances from the Stalks of Sweet Sorghum in the Technology of Making Food Syrups

The need to intensify the process of extracting sugar substances from sweet sorghum stalks in order to improve the quality and yield of the target product has been substantiated. Existing techniques of sugar substance extraction used in sweet sorghum processing technologies have been analyzed. The application of a combined technique for extracting sugary substances has been proposed implying the production of pressed and diffusion juice. The results of optimizing the press technique of juice extraction from sorghum stalks are given. The equations of material balance of products and sugars have been built, depending on such factors as the degree of pressing, the initial content of solids and sugars in the stalks. A procedure for calculating the yield of pressed juice, cake, and the content of total sugars has been devised, according to which the preliminary pressing of the stalks ensures the extraction of juice in the range of 25‒35 %, the yield of the pressed cake is 75‒65 % on average, with a sugar content exceeding 60 %. It has been experimentally established that the use of the anti-current process of extraction of sugar substances from the pressed cake ensures their complete extraction from raw materials. The rational parameters for this process have been defined. At a temperature of 66–70 °C and a duration of 20 minutes, it is possible to obtain an extract whose content of solids is 13.0 %, total sugars ‒ 11.10 %, and whose purity is 85.38 %. The research was carried out in order to intensify the extraction of sugar substances from sweet sorghum plant raw materials, to improve the technical level of the extraction process, and implement the devised method under industrial conditions. Further implementation of these results in the food industry could make it possible to establish the production of a wide range of sugar-containing products, both organically and as a natural substitute for sugar in food products.
Trust in tourism cooperation networks: analysis of its role and linked elements in Parnaíba, Piauí, Brazil

This study aimed to demonstrate the role of trust and the elements that are linked to it – contracts, support institutions and reciprocity – in the decision to cooperate in the tourism sector of Parnaíba, Piauí, Brazil. For that, an exploratory research with a qualitative approach was carried out, in which nine managers of the lodging sector – hotels and inns – were interviewed. The data were analyzed using the Content Analysis technique. Findings confirm the existence of several interorganizational cooperation networks in the destination, that the relationships are informal and the cooperation is represented by service recommendation, exchange of knowledge/information and promotion actions. The main contribution of this paper is to demonstrate that trust is present in local networks, but trustworthiness – an individual attribute – was also relevant in the decision to cooperate. In addition, it is proven that support institutions and reciprocity appear as complementary to trust, while contracts substitute trust and are used only in relationships outside the destination. Finally, eight research propositions are presented as a result of the empirical study to be tested on future investigations.
Fairness in Prediction and Allocation

Many high stakes decisions that are now aided by machine learning can be viewed as allocation problems. We will often have some good (such as a job or a loan) or bad (such as incarceration) to distribute amongst a population. People on at least one side of the problem will have preferences over the other side that are based on qualities that are not directly observable (e.g. banks want to give loans to the creditworthy; courts want to incarcerate the guilty or those likely to repeat their offenses). The machine learning task is to make predictions about those qualities from observable attributes. It is natural that when we make high stakes decisions, we will be concerned about unfairness — the potential for the system as a whole (of which a machine learning algorithm or statistical model may play only a relatively small role) to disproportionately favor some people over others, perhaps for reasons more related to their demographics than features relevant for the task at hand. And we note at the outset that these considerations are not hypothetical: statistical models are currently being used to inform bail and parole decisions, hiring and compensation decisions, lending decisions, and an increasingly extensive collection of high stakes tasks—and there are now an enormous number of cases of systemic decision-making that would be called sexist or racist—at least if the decisions had been made by a human being. But what should we make of such decision making when it is carried out by an algorithm that was derived by optimizing a facially neutral objective function, like classification error? The first thing we need to understand is why we might expect machine learning to exacerbate unfair decision making in the first place. After all, at its heart, machine learning usually corresponds to simple, principled optimization. Typically, the process of machine learning will start by gathering a dataset consisting of various measured features for each person. For example, in the recidivism prediction problem that is often used to inform whether prisoners should be released on parole, features might include
Catholic Elementary School Principals, the Transfer of Marketing Knowledge, and the Diffusion of School Marketing

Despite elementary Catholic schools engaging in school marketing for some years, the level of knowledge of the school leaders and the challenges related to school marketing and the implementation of a marketing framework is not known. The researcher focused this qualitative case study on identifying the key relationship marketing performance indicators and the diffusion of school marketing that contribute to a sustainable organization after the implementation of marketing and culture change. The research questions explored the main knowledge, skills, and abilities related to marketing and leadership that can be used to aid the elementary Catholic school leaders to assist in the diffusion of marketing. Conceptually, this study was framed within theories of relationship marketing, transformational leadership, and diffusion of innovation. The researcher collected data through in-depth interviews, which provided detailed descriptions of the participants’ experiences and created the basis for analysis. Ten participants from a diocese in Pennsylvania were selected for participation, and a series of video and transcribed interviews were conducted. The analysis included multiple passes of process coding and researcher description of notable comments. The results of this study provide insight for school leaders at all levels regarding the importance that principals’ knowledge of school marketing is to the successful diffusion of the innovation. This study contributes to identifying the next steps and the development of a framework for school marketing implementation in Catholic elementary schools. It is important to study the level of knowledge of school leaders and identify the challenges related to Catholic elementary school marketing in order to ensure effective implementation of marketing concepts.
Finite-time theory for momentum Q-learning

Existing studies indicate that momentum ideas in conventional optimization can be used to improve the performance of Q-learning algorithms. However, the ﬁnite-time analysis for momentum-based Q-learning algorithms is only available for the tabular case without function approximation. This paper analyzes a class of momentum-based Q-learning algorithms with ﬁnite-time convergence guarantee. Speciﬁcally, we propose the MomentumQ algorithm, which integrates the Nesterov’s and Polyak’s momentum schemes, and general-izes the existing momentum-based Q-learning algorithms. For the inﬁnite state-action space case, we establish the convergence guarantee for MomentumQ with linear function approximation under Markovian sampling. In particular, we characterize a ﬁnite-time convergence rate which is provably faster than the vanilla Q-learning. This is the ﬁrst ﬁnite-time analysis for momentum-based Q-learning algorithms with function approximation. For the tabular case under synchronous sampling, we also obtain a ﬁnite-time convergence rate that is slightly better than the SpeedyQ [Azar et al., 2011]. Finally, we demonstrate through various experiments that the proposed MomentumQ outperforms other momentum-based Q-learning algorithms. board game
Entrepreneurship Education and Graduates Unemployment in Obio-Akpor Local Government Area (OBALGA) of Rivers State

This study examines entrepreneurship education and graduate unemployment in Obio-Akpor Local Government Area of Rivers State. This study used the descriptive survey research design. A sample of 600 proportionally selected respondents or graduates from 12 randomly selected communities in Obio-Akpor Local Government Area participated in the study. A 50 item two experts validated self-structured 4-point rating scale instrument titled “Entrepreneurship Education and Graduate Unemployment Questionnaire” (EEGUQ) with a reliability coefficient of . 757 (using Cronbach Alpha (ra) method) was used to collect the data analyzed using mean and standard deviation to answer the research question 1 (with a criterion mean cut off of 2.5), while Pearson product moment coefficient (PPMC) was used to answer research questions 2, 3 and 4 at 0.05 level of significance. The study discovered that: acquiring intellectual skills (r= 0.086), possessing interpersonal skills (r= 0.145), and exhibiting innovative skills (r = 0.076) contributed in reducing graduates unemployment in OBALGA. The study suggested amongst others that Graduates are encouraged to be creative and innovative in identifying skills and exploring new business opportunities around their environment to their own economic benefit. Alongside, educational institutions should establish entrepreneurial centres where youths can acquire apprenticeship and adequate training in their chosen self-reliant skill that will improve their income, productivity, and self-employability.
Dust Agglomeration in an Electrostatic Precipitator

Dust agglomeration in an electrostatic precipitator (EP) during the sintering process taking place in an ironmaking plant was investigated. The dust agglomeration in the high sulfur flue gas dust hopper of the EP was very serious and did affect the removal of the dust from the hopper. The size of the agglomerate ranged from approximately 30–50 cm and was found to exhibit strong magnetic behavior. After combining actual operational observations and the physical and chemical test results, it was determined that the main factor resulting in the dust agglomeration in the EP was the unburned carbon, which was between 0.025% and 4.45% in the four samples of EP dust taken from different locations in the EP. In order to prevent fire accidents and dust agglomeration in the EP during the sintering process, the percentage of fine fuel particles (sized smaller than 1 mm) should be minimized; the average fuel particle size for the sintering process should be controlled at 2.5–3.0 mm, where the mass fraction accounts for approximately 80% of the fuel. In addition, strict sealing of the air box flue, the import and export flange, the expansion joint connection, the manhole door, and EP body should be carried out and maintained. Finally, the thickness of the bedding material should be more than 30 mm to ensure full combustion of the fuel used in the sintering process. This study provides useful information for the prevention of dust agglomeration in the EP during the sintering process.
Mexican local suppliers in home appliance value chains

This research aims to determine the factors influencing local supplier development by multinational subsidiaries in emerging countries like México. A quantitative regression methodology is employed using survey data collected from sourcing managers for a case-study focused on Mexico’s home appliance value chain. Although the extant literature suggests that a variety of factors influence local supplier development, only three factors were significant in this context: firm size, degree of autonomy, and technological capabilities. The applied research was conducted in the north of Mexico, where more than 50% of the domestic electrical products are produced; as such, the results generated herein could be reasonably representative of countrywide trends and phenomena. The context and results of this study could be useful to multinational companies in other emerging countries as they pursue development strategies vis-à-vis their local suppliers. Due to the scarcity of studies in México on value chains regarding local supplier development, the research presented here adds important knowledge on this topic*.
Management of Severe Traumatic Brain Injury in Children by Decompressive Craniectomy: Technical Note and Therapy Concepts

Citation: Hejazi N, Al-Kassab M (2021) Management of Severe Traumatic Brain Injury in Children by Decompressive Craniectomy: Technical Note and Therapy Concepts. Neurosurg Cases Rev 4:075. doi. org/10.23937/2643-4474/1710075 Accepted: July 26, 2021; Published: July 28, 2021 Copyright: © 2021 Hejazi N, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Open Access Neurosurgery Cases and Reviews